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Rapid differentiation of Staphylococcus aureus subspecies based on MALDI-TOF MS profiles

机译:基于MALDI-TOF MS谱快速鉴别金黄色葡萄球菌亚种

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摘要

Staphylococcus aureus encompasses 2 subspecies (aureus and anaerobius) with significant differences in their epidemiology and pathogenicity. We evaluated the suitability of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for the rapid identification of both subspecies using a panel of 52 S. aureus isolates (30 subsp. anaerobius and 22 subsp. aureus) recovered from different origins, countries, and years. The on-board library identification system correctly identified 42 of 52 (81%) S. aureus isolates at the species level with score values >2.0. Limited performance was observed for differentiation of S. aureus subspecies (particularly subsp. anaerobius). Visual inspection of MALDI-TOF MS profiles identified 5 subspecies-specific mass peaks (m/z 3430 and 6861 in S. aureus subsp. anaerobius, and m/z 4046, 6890, and 8093 in S. aureus subsp. aureus) with 100% sensitivity and specificity values, which is potentially useful for differentiating these subspecies. The suitability of 3 models, Genetic Analysis (GA), Quick Classifier (QC), and Supervised Neural Network, for automatic identification of both subspecies was evaluated using the Recognition Capability (RC) and Cross Validation (CV) values provided by the on-board ClinProTools software. The GA and QC models reached RC and CV values of 100%. Both models were externally validated using a panel of 26 S. aureus isolates of both subspecies, with both models correctly classifying all isolates of both subspecies. MALDI-TOF MS coupled with ClinProTools software represents a rapid and simple approach for S. aureus subspecies discrimination.
机译:金黄色葡萄球菌包括两个亚种(金黄色葡萄球菌和厌氧亚种),它们在流行病学和致病性上有显着差异。我们评估了矩阵辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)在使用52个金黄色葡萄球菌分离株(30个亚种厌氧菌和22个亚种。金黄色葡萄球菌)从不同的起源,国家和年份恢复。机载图书馆识别系统在物种水平上正确识别了52个(81%)金黄色葡萄球菌分离物中的42个,得分值> 2.0。对于金黄色葡萄球菌亚种(特别是亚种亚种)的分化,观察到的性能有限。目视检查MALDI-TOF MS谱图可确定5个亚种特有的质量峰(金黄色葡萄球菌厌氧菌亚种中的m / z 3430和6861,以及金黄色葡萄球菌亚种 aureus中的m / z 4046、6890和8093 )具有100%的敏感性和特异性值,这对于区分这些亚种可能很有用。使用以下功能提供的识别能力(RC)和交叉验证(CV)值,评估了3种模型(遗传分析(GA),快速分类器(QC)和监督神经网络)对两个亚种的自动识别的适用性。板ClinProTools软件。 GA和QC模型的RC和CV值达到100%。两种模型均使用26 S的小组进行了外部验证。两个亚种的金黄色葡萄球菌的分离株,两个模型都正确地对两个亚种的所有分离株进行了分类。结合了ClinProTools软件的MALDI-TOF MS代表了 S的一种快速,简单的方法。金黄色葡萄球菌的亚种歧视。

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