FALCO Biosystems K. K., Tokai Central Laboratory, Test Group Microbiology, Aichi, Japan.
Beckman Coulter K. K., Tokyo, Japan.
J Infect Chemother. 2021 Aug;27(8):1137-1142. doi: 10.1016/j.jiac.2021.03.002. Epub 2021 Mar 18.
Rapid detection of Shiga toxin-producing Escherichia coli (STEC) is essential. Matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) allows rapid, accurate, and low-cost microbial identification. We aimed to examine the discrimination ability of MALDI Biotyper (Bruker Daltonics) between STEC and non-STEC.
In total, 234 strains (79 STEC strains and 155 non-STEC strains) isolated from stool between 2009 and 2014 were measured by MALDI Biotyper and mass spectra of 2000-20,000 m/z were analyzed with ClinProTools (Bruker Daltonics). Eighty-three strains were randomly extracted to produce STEC detection models using 3 algorithms, and 151 strains were used as validation samples to verify STEC detection performance and discrimination performance of Shiga toxins with the STEC detection models.
The STEC detection model with Quick Classifier (QC) algorithm was the most sensitive: sensitivity, 84.1% (37/44); specificity, 94.4% (101/107). Discrimination between STEC and non-STEC was excellent, but individual discrimination of Shiga toxins was not possible.
MALDI Biotyper may be a useful rapid diagnostic method for STEC infection.
快速检测产志贺毒素大肠杆菌(STEC)至关重要。基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)可实现快速、准确且低成本的微生物鉴定。本研究旨在检验 MALDI Biotyper(布鲁克·道尔顿)区分 STEC 和非 STEC 的能力。
2009 年至 2014 年间,共从粪便中分离出 234 株菌(79 株 STEC 菌株和 155 株非 STEC 菌株),使用 MALDI Biotyper 进行测量,并使用 ClinProTools(布鲁克·道尔顿)分析 2000-20000 m/z 的质谱。随机提取 83 株菌,使用 3 种算法生成 STEC 检测模型,并用 151 株菌作为验证样本,验证 STEC 检测模型对 STEC 和志贺毒素的检测性能和区分性能。
Quick Classifier(QC)算法的 STEC 检测模型最敏感:灵敏度为 84.1%(37/44);特异性为 94.4%(101/107)。STEC 和非 STEC 之间的区分非常出色,但无法单独区分志贺毒素。
MALDI Biotyper 可能是一种用于 STEC 感染的有用快速诊断方法。