Comparison of matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) systems for the identification of moulds in the routine microbiology laboratory

Comparison of matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) systems for the identification of moulds in the routine microbiology laboratory
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DOI:
10.1016/j.cmi.2018.10.013
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发表时间:
2019-07-01
影响因子:
14.2
通讯作者:
Wallon, M.
Wallon, M.
中科院分区:
医学1区
文献类型:
--
作者:
Dupont, D.;Normand, A. -C.;Wallon, M.

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目的:比较两种基质辅助激光解吸电离飞行时间质谱仪(MALDI-TOF MS)系统--VMS和Microflex LT(MLT)--在霉菌鉴定中的应用效果。通过测序对其进行了鉴定。然后使用VMS v3.0、MLT和应用于MLT光谱的MSI软件对菌株进行鉴定。结果:共分离到102株细菌,与分子参考标准进行了比较。MLT对物种水平的正确识别率为42.2%(43/102),阈值为1.7(17/102),阈值为2.0(P<0.05)。VMS在物种(49.0%(50/102))和复杂水平识别(71.6%(73/102)vs.54.9%(56/102),p<0.05)的阈值为1.7,优于MLT。而利用MSI软件进行MLT谱分析的准确率最高,分别达到90.2%(92/102)、92.2%(94/102)和94.1%(96/102)。结论:VMS在霉菌鉴定方面优于MLT。然而,扩展商业数据库仍然至关重要,因为在使用MSI软件及其扩展的数据库时,MLT的性能得到了极大的改善,远远超过了VMS系统。因此,船民管理系统可以从使用这一在线工具中受益。(C)2018年欧洲临床微生物学和传染病学会。爱思唯尔有限公司出版。保留所有权利。
Objectives: The purpose of this study was to compare the efficiency of mould identification of two matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) systems - Vitek MS (VMS) and Microflex LT (MLT) - and the MSI application.Methods: Moulds were collected retrospectively and prospectively to display epidemiological diversity of a microbiology laboratory. All of them were identified via sequencing. Strains were then identified using the VMS v3.0, the MLT, and the MSI software applied on MLT spectra. Rates of correct identifications to the species, to the complex, and to the genus level were compared with the molecular reference standard.Results: A total of 102 isolates were collected. The rate of correct identification to the species level with the MLT was 42.2% (43/102) with a threshold of 1.7 (vs. 16.7% (17/102) with a threshold of 2.0, p < 0.05). The VMS performed better than the MLT with a threshold of 1.7 for species (49.0% (50/102), p 0.33) and complex level identifications (71.6% (73/102) vs. 54.9% (56/102), p < 0.05). However the highest performances were observed when the MLT spectra were analysed via the Mass Spectrometry Identification (MSI) software reaching 90.2% (92/102) of correct identification to the species, 92.2% (94/102) to the species complex and 94.1% (96/102) to the genus level.Conclusions: The VMS performed better than the MLT for mould identification. However, it remains of utmost importance to expand commercial databases, as performances of the MLT highly improved when using the MSI software and its extended database, reaching far above the VMS system. Thus the VMS could benefit from the use of this online tool. (C) 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.