Zhang Tingting, Ding Jinya, Rao Xiancai, Yu Jingbo, Chu Meiling, Ren Wei, Wang Lu, Xue Wencheng
Postgraduate Training Base of General Hospital of Shenyang Military Command, Liaoning Medical University, Jinzhou, China.
Department of Laboratory Medicine, Wuhan General Hospital of Guangzhou Military Command, Wuhan, China.
J Microbiol Methods. 2015 Oct;117:122-7. doi: 10.1016/j.mimet.2015.08.002. Epub 2015 Aug 5.
Methicillin-resistant Staphylococcus aureus (MRSA) is an important pathogen associated with nosocomial infections in many countries. Multilocus sequence typing (MLST) is one of the genetic typing methods used to type MRSA with a high discriminatory power, however, it is labor-intensive, timely, and costly. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) coupled with ClinProTools is a potential tool to discover biomarker peaks and to generate a classification model based on highly sophisticated mathematical algorithms to discriminate clonal lineages. We investigated the performance of MALDI-TOF MS for discriminating 154 MRSA-ST239, 72 MRSA-ST5, 30 MRSA-ST59, 14 MRSA-ST45, and 20 MRSA-OST (other clonal lineages). Our results indicate that the model construction and validation have good potency to discriminate ST45 from other lineages with a sensitivity and a specificity of both 100%, and a sensitivity of 95.80% and a specificity of 94.62% to identify ST239. For Biotyper classification, the sensitivity and specificity were more than of 90% for ST239, ST59 and ST45, whereas only 81.94% sensitivity for ST5. By single-peak analysis, the peaks m/z 4808 and 9614 can correctly discriminate ST45 a sensitivity and a specificity of both 100%; the peak m/z 6554 can also discriminate ST239 with a sensitivity of 91.9% and a specificity of 85.4%. In conclusion, MALDI-TOF MS coupled with ClinProTools has a high detection performance for MRSA typing with obvious advantages of being rapid, highly accurate, and being a low cost in comparison with MLST.
耐甲氧西林金黄色葡萄球菌(MRSA)是许多国家医院感染的重要病原体。多位点序列分型(MLST)是用于对MRSA进行分型的遗传分型方法之一,具有较高的鉴别力,然而,它劳动强度大、耗时且成本高。基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)结合ClinProTools是一种潜在工具,可发现生物标志物峰并基于高度复杂的数学算法生成分类模型以区分克隆谱系。我们研究了MALDI-TOF MS对154株MRSA-ST239、72株MRSA-ST5、30株MRSA-ST59、14株MRSA-ST45和20株MRSA-OST(其他克隆谱系)进行鉴别的性能。我们的结果表明,模型构建和验证具有良好的鉴别能力,可将ST45与其他谱系区分开,灵敏度和特异性均为100%,鉴定ST239的灵敏度为95.80%,特异性为94.62%。对于Biotyper分类,ST239、ST59和ST45的灵敏度和特异性均超过90%,而ST5的灵敏度仅为81.94%。通过单峰分析,m/z 4808和9614峰可正确鉴别ST45,灵敏度和特异性均为100%;m/z 6554峰也可鉴别ST239,灵敏度为91.9%,特异性为85.4%。总之,MALDI-TOF MS结合ClinProTools对MRSA分型具有较高的检测性能,与MLST相比具有快速、高度准确和低成本的明显优势。