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血清蛋白质标记物在先天性巨结肠患儿中的应用 被引量:1

Application of Serum Protein Markers in Hirschsprung′s Disease
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摘要 目的通过检测先天性巨结肠(HD)患儿血清蛋白质筛选特异的蛋白质标记物,构建用于HD早期筛选及诊断的血清蛋白质指纹图谱模型。方法应用表面增强激光解析电离飞行时间质谱(SELDI-TOF-MS)技术检测82例血清标本(HD组42例,其他类型肠梗阻组、健康对照组各20例)的蛋白质质谱,并结合生物信息学方法(支持向量机)分析数据。结果1.HD组与健康对照组比较:筛选出3个M/Z位于3 221.7、5 639.2、6 884.2的蛋白质标记物,构建HD早期筛选及诊断模型,3个标记物在HD组低表达,其在HD组和健康对照组的表达强度分别为378.29±273.34、295.65±159.38、444.13±254.06和1 428.18±1 192.61、1 039.60±785.64、1 115.72±680.48,2组比较均有显著性差异(Pa<0.01)。经留一法交叉验证,区分HD和健康儿童的血清蛋白质指纹图谱模型的特异性和敏感性均为100%。2.其他类型肠梗阻组与健康对照组比较:在M/Z位于2 694.2、3 520.2位点上均无显著性差异(Pa>0.05)。结论SELDI-TOF-MS结合支持向量机建立HD血清蛋白质指纹图谱模型是早期筛选及诊断HD的一种特异性强、敏感性高的新方法。 Objective To check serum protein of children's Hirschsprung's disease(HD) and sift specific protein marker which was used in constructing of HD screening and early diagnosis of serum protein fingerprint model. Methods Surface - enhanced laser desorption/ ionization time of flight mass spectrometry ( SELDI - TOF - MS) was applied to detect protein mass spectrometry of serum specimens in 82 cases ( HD group 42 cases, 20 cases of other types of obstruction, healthy control group 20 cases) and data were analyzed by bioinformatics methods ( support vector machine). Results 1. For HD group and healthy control group : selected 3 M/Z in 3 221.7,5 639.2,6 884.2 protein markers were selected, HD early screening and diagnostic model was established ,3 markers in HD low expression, the expressions of them in HD group and healthy control group were 378.29±273.34,295.65 ± 159.38,444.13 ± 254.06 and 1 428.18 ± 1 192.61,1 039.60 ± 785.64,1 115.72 ± 680.48, respectively. There were significant differences in two groups ( Pa 〈 0.01 ). After a stay of cross - certification, HD distinction between healthy children and the serum protein fingerprint of the specific model was 100% sensitivity and 100% specificity, respectively. 2. Other types of obstruction group and healthy control group: M/Z 2 694.2,3 520.2 had no significant difference( P 〉 0.05 ). Conclusions The establishment of serum protein fingerprint model of HD by SELDI - TOF - MS support vector machine could screen and diagnose HD early, which is a new method of better specificity,high sensitivity and is worthy of further research and application.
出处 《实用儿科临床杂志》 CAS CSCD 北大核心 2009年第11期829-831,共3页 Journal of Applied Clinical Pediatrics
关键词 先天性巨结肠 诊断 表面增强激光解析电离飞行时间质谱技术 支持向量机 蛋白质指纹图谱 Hirschsprung's disease diagnosis surface enhanced laser desorption/ionization time of flight mass spectrometry support vector machine protein fingerprint
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