Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques

Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques
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DOI:
10.1039/c6ay02326f
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发表时间:
2016-01-01
期刊:
影响因子:
3.1
通讯作者:
Goodacre, Royston
Goodacre, Royston
中科院分区:
化学3区
文献类型:
--
作者:
AlMasoud, Najla;Xu, Yun;Goodacre, Royston

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以临床分离的糖肽耐药肠球菌(GRE)为研究对象,比较了3种快速表型和分析技术。应用傅立叶变换红外光谱(FT-IR)、拉曼光谱和基质辅助激光解吸电离飞行时间质谱仪(MALDI-TOF-MS)对35株粪肠球菌进行了12种脉冲场凝胶电泳(PFGE)分型。结果表明,这三种分析技术在菌株和分离株水平上都能对肠球菌进行明显的区分。FT-IR和拉曼光谱数据产生的细菌识别非常相似,反映在数据集之间的普罗克斯特距离(0.2125-0.2411,p<0.001);但是,FT-IR数据提供了比拉曼数据更高的预测精度,在应变水平上的正确分类率(CCR)分别为89%和69%。MALDI-TOF-MS对这些肠球菌的分类也略有不同,CCR也很高(78%)。这三种分析技术的分类数据与PFGE数据是一致的,特别是在PFGE确定为独一无二的分离物的情况下。这项研究提出表型技术作为当前方法的补充方法,具有高通量护理点筛查的潜力,使得能够快速和可重复地对临床相关的肠球菌进行分类。
Clinical isolates of glycopeptide resistant enterococci (GRE) were used to compare three rapid phenotyping and analytical techniques. Fourier transform infrared (FT-IR) spectroscopy, Raman spectroscopy and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) were used to classify 35 isolates of Enterococcus faecium representing 12 distinct pulsed-field gel electrophoresis (PFGE) types. The results show that the three analytical techniques provide clear discrimination among enterococci at both the strain and isolate levels. FT-IR and Raman spectroscopic data produced very similar bacterial discrimination, reflected in the Procrustes distance between the datasets (0.2125-0.2411, p < 0.001); however, FT-IR data provided superior prediction accuracy to Raman data with correct classification rates (CCR) of 89% and 69% at the strain level, respectively. MALDI-TOF-MS produced slightly different classification of these enterococci strains also with high CCR (78%). Classification data from the three analytical techniques were consistent with PFGE data especially in the case of isolates identified as unique by PFGE. This study presents phenotypic techniques as a complementary approach to current methods with a potential for high-throughput point-of-care screening enabling rapid and reproducible classification of clinically relevant enterococci.