Li Ying, Wang He, Zhao Yu-Pei, Xu Ying-Chun, Hsueh Po-Ren
Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijing, China.
Graduate School, Peking Union Medical College, Chinese Academy of Medical SciencesBeijing, China.
Front Microbiol. 2017 Jun 29;8:1209. doi: 10.3389/fmicb.2017.01209. eCollection 2017.
We evaluated the accuracy of the Bruker Biotyper matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) system at identifying clinical isolates of species that were grown on agar media. A total of 381 non-duplicate isolates representing 21 different species identified by molecular analysis were included in this study. The Bruker Biotyper MALDI-TOF MS system was able to identify 30.2% (115/381) of the isolates to the species level (score values of ≥2.000) and 49.3% to the genus level (score values of 1.700-1.999). When the identification cutoff value was lowered from ≥2.000 to ≥1.700, the species-level identification rate increased to 79.5% with a slight rise of false identification from 2.6 to 5.0%. From another aspect, a correct species-level identification rate of 89% could be reached by the Bruker Biotyper MALDI-TOF MS system regardless of the score values obtained. The Bruker Biotyper MALDI-TOF MS system had a moderate performance in identification of directly inoculated on solid agar media. Continued expansion of the Bruker Biotyper MALDI-TOF MS database and adoption of alternative cutoff values for interpretation are required to improve the performance of the system for identifying highly diverse species of clinically encountered isolates.
我们评估了布鲁克微生物鉴定仪基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)系统对在琼脂培养基上生长的临床分离菌种的鉴定准确性。本研究纳入了通过分子分析鉴定出的代表21种不同菌种的381株非重复分离株。布鲁克微生物鉴定仪MALDI-TOF MS系统能够将30.2%(115/381)的分离株鉴定到种水平(得分值≥2.000),49.3%鉴定到属水平(得分值1.700 - 1.999)。当鉴定临界值从≥2.000降低到≥1.700时,种水平鉴定率提高到79.5%,错误鉴定率从2.6%略有上升至5.0%。从另一个方面来看,无论获得的得分值如何,布鲁克微生物鉴定仪MALDI-TOF MS系统的种水平正确鉴定率可达89%。布鲁克微生物鉴定仪MALDI-TOF MS系统在直接接种于固体琼脂培养基上的鉴定中表现中等。需要持续扩充布鲁克微生物鉴定仪MALDI-TOF MS数据库并采用其他临界值进行解读,以提高该系统对临床常见高度多样分离菌种的鉴定性能。