摘要
目的探讨利用表面增强激光解析/离子化飞行时间质谱(SELDI-TOF-MS)技术结合分类与回归树分析(classification and regression tree analysis,CART)在筛选神经管缺陷胎儿母亲血清和尿液蛋白质标志物的应用。方法孕母血清样本31例,尿液样本35例和羊水样本20例用于检测。采用PBSIIC型蛋白质芯片阅读机读取数据。SELDI数据结果采用分类与回归树分析(CART)建立血清和尿液诊断模型,用于区分神经管缺陷组与正常对照组。结果与正常组比较,神经管畸形组血清中有8种蛋白质高表达,4种蛋白质低表达;尿液中有4种蛋白质高表达,1种蛋白质低表达;羊水中有6种蛋白质高表达,1种蛋白质低表达。4种蛋白质峰用于建立决策分类树诊断模型,血清诊断灵敏度88.20%,特异度100%;尿液诊断灵敏度80.00%,特异度93.33%。结论血清和尿液蛋白质谱的高灵敏度和特异度提示表面增强激光解析/离子化飞行时间质谱结合分类与回归树分析能够筛选神经管缺陷胎儿和正常对照。
【Objective】To determine whether serum and urine proteins profiling in neural tube defects （NTDs） is different from that of controls using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF-MS） plus classification and regression tree （CART） analysis.【Methods】31 maternal serum samples, 35 maternal urine samples and 20 maternal amniotic fluid samples were tested. Protein-Chip Biomarker System IIC reader and CART of the SELDI results was conducted to establish the serum and urine proteomic patterns of NTDs patients. 【Results】8 proteins detected in serum samples were up-regulated and 4 proteins were down-regulated in NTDs group. 4 proteins detected in urine samples were up-regulated and 1 protein was down-regulated in NTDs group. 6 proteins detected in amniotic fluid samples were up-regulated and 1 protein was down-regulated in NTDs group. Four proteins were chosen for CART, yielding sensitivity of 88.24% and 80.00%, specificity of 100% and 93.33% for serum and urine samples respectively. 【Conclusions】The high sensitivity and specificity of the serum and urine protein profiling approach suggest that SELDI combined with CART can detect NTDs from controls.
出处
《中国现代医学杂志》
CAS
CSCD
北大核心
2010年第5期738-746,共9页
China Journal of Modern Medicine
基金
国家自然科学基金资助项目(No:30571934)
关键词
神经管缺陷
表面增强激光解析/离子化飞行时间质谱
分类与回归树分析
蛋白质标志物
neural tube defects
surface enhanced laser desorption / ionization time-of-flight mass spectrometry
classification and regression tree
protein biomarker
