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产ESBLs肺炎克雷伯菌蛋白质谱决策树模型的建立 被引量:1

Protein spectrum decision tree model establishment of esbls-producing Klebsiella pneumoniae
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摘要 目的建立肺炎克雷伯菌(Klebsiella pneumoniae,KPN)产超广谱β-内酰胺酶(extended-spectrum beta-lacta-mases,ESBLs)菌株蛋白质指纹图谱决策树诊断模型,为产ESBLs KPN感染的快速鉴定奠定基础。方法采用表面增强激光解吸电离-飞行时间质谱技术及金芯片分析产ESBLs KPN差异表达蛋白,结合决策树分析建立KPN产ESBLs菌株蛋白质谱模型,并作诊断效能评价。结果用3个蛋白质(质荷比为5993.25,8363.60,9215.26)建立的KPN产ESBLs菌株决策树诊断模型,对产ESBLs KPN诊断的灵敏度、特异度分别为96.43%、93.33%。结论该研究建立蛋白质谱决策树模型对产ESBLs KPN的检测时间短、诊断准确率高,值得进一步研究和探讨。 Objective To establish extended-spectrum beta-lactamases(ESBLs)-producing Klebsiella pneumoniae strains protein diagnostic model,and lay the foundation for rapid identification of ESBLs-producing Klebsiella pneumoniae.Methods Surface-enhanced laser desorption ionization-time of flight mass spectrometry(SELDI-TOF-MS) technology and a protein chip were performed to detect the differentially expressed proteins.Decision tree was used to build ESBLs-producing Klebsiella pneumoniae protein spectrum model.The model was blindly tested to validate the diagnostic value.Results The protein with 5993.25,8363.60,9215.26 mass-to-charge ratio were selected as biomarkers of ESBLs-producing Klebsiella pneumoniae.By blinding test,the model sensitivity,specificity were 96.43%、93.33%.Conclusion The protein model of ESBLs-producing Klebsiella pneumoniae has higher diagnostic accuracy and needs shorter operating time.It is worthy of further research and exploration.
出处 《四川医学》 CAS 2013年第5期728-730,共3页 Sichuan Medical Journal
关键词 肺炎克雷伯菌 超广谱Β-内酰胺酶 蛋白质谱 决策树 Klebsiella pneumoniae ESBLs proteome decision tree
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