摘要
目的利用表面增强激先解析离子化飞行时间质谱（SELDI—TOF—MS）及蛋白芯片技术检测不同类型小儿脑膜炎患儿脑脊液蛋白质峰谱的表达情况，为临床建立一种方便、快速、敏感、高效的诊断新技术。方法采集87例脑膜炎患儿（化脓性脑膜炎21例，病毒性脑炎29例，结核性脑膜炎37例）脑脊液样本，利用弱阳离子芯片CM10和SELDI—TOF-MS技术分析脑脊渡中的差异表达蛋白质峰，联合应用明显差异表达的蛋白质峰建立分类决策树，随机选取50例样本对决策树进行盲法检验，得出决策树模型的分类准确率。结果共获得127个有效蛋白质峰，利用m／z=6206，m／z=8577和m／z=11535三个显著差异表达的蛋白质峰成功建立分类决策树，准确度为96％（48／50），敏感度为100％（21／21），特异度为93．1％（27／29）。结论SELDI—TOF—MS及蛋白芯片技术可快速、准确地鉴别三种常见的小儿脑膜炎类型，为今后临床诊断提供了新的借鉴和参考。
Objective To search for sepcific protein biomarkers in cerebrospinal fluid of meningitis children by surface en- hanced laser desorption-ionization time-of-flight mass spectrometry （SELDI-TOF-MS） and protein-chip technique, and find a new technology for fast,sensitive and efficient diagnosis of children meningitis. Methods Eighty-seven cerebrospinal fluid samples （21 cases of purulent meningitis, 29 cases of viral encephalitis,and 37 cases of tuberculous meningitis） were obtained from meningitis children. Protein chip CM10 and SELDI were used to detect differential expression proteins,and the classification decision tree was established via combined protein peaks. The accuracy of classification decision tree was assessed by 50 samples which were randomly selected. Results 127 protein peaks were detected,and the classification decision tree was established via three protein peaks of m/z= 6 206,m/z=8 577 and m/z=11 535. The accuracy rate was 96% （48/50）, sensitivity was 100% （21/21） and specificity was 93. 1% （27/29）. Conclusion SELDI and protein-chip technique may provide a fast and efficient diagnosis for three types of children meningitis,and some new reference for clinical diagnosis in the future.
出处
《现代检验医学杂志》
CAS
2009年第5期55-57,共3页
Journal of Modern Laboratory Medicine
关键词
蛋白质组学
脑膜炎
诊断
脑脊液
proteomics
meningitis
diagnosis
cerebrospinal fluid
