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利用新型文库,基质辅助激光解吸电离飞行时间质谱法(MALDI-TOF MS)可提高对牛链球菌-马肠链球菌复合种及其亚种的鉴定能力。

Improved identification of Streptococcus bovis-Streptococcus equinus-complex species and subspecies by MALDI-TOF MS using a novel library.

机构信息

Department of Clinical Sciences Lund, Section for Infection Medicine, Lund University, Lund, Sweden; Department of Infectious Diseases, Helsingborg Hospital, Helsingborg, Sweden.

Department of Clinical Sciences Lund, Section for Infection Medicine, Lund University, Lund, Sweden.

出版信息

Diagn Microbiol Infect Dis. 2023 Nov;107(3):116045. doi: 10.1016/j.diagmicrobio.2023.116045. Epub 2023 Jul 31.

Abstract

OBJECTIVES

To develop an in-house matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) library for improved identification of species and subspecies of the Streptococcus bovis/Streptococcus equinus-complex (SBSEC).

METHODS

A total of 236 SBSEC isolates from blood stream infections and culture collections, determined by whole genome sequencing to subspecies level, were grown in brain heart infusion broth. Mass spectra were collected using the Bruker MALDI Biotyper system after ethanol-formic acid extraction. Main spectral profiles from 117 isolates were used to create the "SBSEC-CMRS library." The remaining 119 spectra were used for evaluation of Bruker MALDI Biotyper (MBT) Compass Library Revision K (2022) and the SBSEC-CMRS library.

RESULTS

The Bruker library correctly identified species and subspecies in 72 of 119 (61 %) isolates, while the SBSEC-CMRS library identified 116 of 119 (97 %), using a cutoff score of ≥2.0.

CONCLUSIONS

The SBSEC-CMRS library showed sufficient diagnostic accuracy, and can be implemented in clinical practice for SBSEC species and subspecies identification.

摘要

目的

建立内部基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)库,以提高对牛链球菌/马肠球菌复合群(SBSEC)物种和亚种的鉴定能力。

方法

从血流感染和培养物库中收集了 236 株 SBSEC 分离株,通过全基因组测序确定亚种水平,在脑心浸液肉汤中培养。使用 Bruker MALDI Biotyper 系统在乙醇-甲酸提取后收集质谱。从 117 株分离株的主要光谱特征中创建了“SBSEC-CMRS 库”。其余 119 个光谱用于评估 Bruker MALDI Biotyper (MBT) Compass 库修订版 K(2022)和 SBSEC-CMRS 库。

结果

Bruker 库使用≥2.0 的截断评分正确鉴定了 119 株中的 72 株(61%)的物种和亚种,而 SBSEC-CMRS 库则鉴定了 116 株中的 119 株(97%)。

结论

SBSEC-CMRS 库显示出足够的诊断准确性,可用于临床实践中对 SBSEC 物种和亚种的鉴定。

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