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碳青霉烯酶产生肺炎克雷伯菌 ST11 和 ST101 分离株的 MALDI-TOF MS 和 MLST 生物分型性能比较。

Comparison of performance of MALDI-TOF MS and MLST for biotyping carbapenemase-producing Klebsiella pneumoniae sequence types ST11 and ST101 isolates.

机构信息

Servicio de Microbiología, Complejo Hospitalario Universitario de Vigo (CHUVI), Vigo, Spain.

Alisio Computing GmbH, Kaiserslautern, Germany.

出版信息

Enferm Infecc Microbiol Clin (Engl Ed). 2022 Apr;40(4):172-178. doi: 10.1016/j.eimce.2020.10.011.

DOI:10.1016/j.eimce.2020.10.011
PMID:35473987
Abstract

INTRODUCTION

The rapid identification and detection of carbapenemase-producing Klebsiella pneumoniae (CPKP) isolates is crucial to ascertain outbreaks, as well as to limit their spread. The current reference method for this purpose is multilocus sequence typing (MLST), which is laborious and expensive. Consequently, alternative typing methods are gaining attention, such as Matrix-Assisted Laser Desorption Ionization-Time Of Flight Mass Spectrometry (MALDI-TOF MS).

METHODS

This study sought to analyze MALDI-TOF MS as a typing method using 44 CPKP isolates that were well characterized by MLST. The most common types of samples from which these pathogens were isolated were skin and soft tissues (32%) and urine (29%). Half of the CPKP isolates were from hospitalized patients. Two approaches were followed for the analysis of the mass peak data obtained by MALDI-TOF MS. The first using all peaks obtained and the second using a selection of 21 characteristic peaks.

RESULTS

The selection of 21 characteristic peaks showed greater discrimination power for ST11 and ST101. Principal component analysis (PCA) indicated that this dataset could be efficiently grouped with lineal classifiers. A Support Vector Machine (SVM) was chosen for this purpose after checking its capacity to classify bacterial strains on the basis of MALDI-TOF MS information.

CONCLUSION

SVM was able to discriminate between ST11 and ST101 with high accuracy. In conclusion, our results reveal MALDI-TOF MS as a promising alternative technique for typing of CPKP isolates.

摘要

简介

快速鉴定和检测产碳青霉烯酶肺炎克雷伯菌(CPKP)分离株对于确定爆发情况以及限制其传播至关重要。目前,用于此目的的参考方法是多位点序列分型(MLST),该方法既繁琐又昂贵。因此,替代的分型方法如基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)受到了关注。

方法

本研究旨在分析 MALDI-TOF MS 作为一种分型方法,使用 44 株通过 MLST 充分表征的 CPKP 分离株。这些病原体最常见的样本类型是皮肤和软组织(32%)和尿液(29%)。CPKP 分离株中有一半来自住院患者。对 MALDI-TOF MS 获得的质谱峰数据进行了两种分析。第一种方法使用所有获得的峰,第二种方法使用 21 个特征峰的选择。

结果

选择 21 个特征峰显示出对 ST11 和 ST101 的更强鉴别能力。主成分分析(PCA)表明,该数据集可以通过线性分类器有效地进行分组。在检查了基于 MALDI-TOF MS 信息对细菌菌株进行分类的能力之后,选择了支持向量机(SVM)用于此目的。

结论

SVM 能够以高精度区分 ST11 和 ST101。总之,我们的结果表明 MALDI-TOF MS 是一种有前途的 CPKP 分离株分型替代技术。

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