Division of Respiratory Medicine, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Microbiology, BC Children's Hospital, Vancouver, BC, Canada.
J Med Microbiol. 2020 Aug;69(8):1105-1113. doi: 10.1099/jmm.0.001223. Epub 2020 Jun 29.
complex (Bcc) bacteria, currently consisting of 23 closely related species, and , can cause serious and difficult-to-treat infections in people with cystic fibrosis. Identifying bacteria to the species level is considered important for understanding epidemiology and infection control, and predicting clinical outcomes. Matrix-assisted laser desorption/ionization time-of-flight MS (MALDI-TOF) is a rapid method recently introduced in clinical laboratories for bacterial species-level identification. However, reports on the ability of MALDI-TOF to accurately identify Bcc to the species level are mixed. The aim of this project was to evaluate the accuracy of MALDI-TOF using the Biotyper and VITEK MS systems in identifying isolates from 22 different Bcc species and compared to gene sequencing, which is considered the current gold standard for Bcc. To capture maximum intra-species variation, phylogenetic trees were constructed from concatenated multi-locus sequence typing alleles and clustered with a novel k-medoids approach. One hundred isolates representing 22 Bcc species, plus , were assessed for bacterial identifications using the two MALDI-TOF systems. At the genus level, 100 and 97.0 % of isolates were confidently identified as by the Biotyper and VITEK MS systems, respectively; moreover, 26.0 and 67.0 % of the isolates were correctly identified to the species level, respectively. In many, but not all, cases of species misidentification or failed identification, a representative library for that species was lacking. Currently available MALDI-TOF systems frequently do not accurately identify Bcc bacteria to the species level.
复杂(Bcc)细菌,目前由 23 种密切相关的物种组成,和,可以导致囊性纤维化患者发生严重且难以治疗的感染。将细菌鉴定到种水平被认为对于了解流行病学和感染控制以及预测临床结果很重要。基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF)是一种最近在临床实验室中引入的用于细菌种水平鉴定的快速方法。然而,关于 MALDI-TOF 准确鉴定 Bcc 到种水平的能力的报告参差不齐。本项目的目的是评估 Biotyper 和 VITEK MS 系统使用 MALDI-TOF 鉴定 22 种不同 Bcc 物种和 的准确性,与被认为是 Bcc 目前金标准的 基因测序进行比较。为了捕获最大的种内变异,从串联多位点序列分型等位基因构建了系统发育树,并使用一种新的 k-medoids 方法进行聚类。使用两种 MALDI-TOF 系统评估了代表 22 种 Bcc 物种和 的 100 种分离物的细菌鉴定。在属水平上,Biotyper 和 VITEK MS 系统分别有 100 和 97.0%的分离物被自信地鉴定为 ;此外,分别有 26.0%和 67.0%的分离物被正确鉴定到种水平。在许多情况下,但不是所有情况下,物种鉴定错误或鉴定失败的原因是缺乏该物种的代表性文库。目前可用的 MALDI-TOF 系统通常不能准确鉴定 Bcc 细菌到种水平。