中文摘要：

目的运用蛋白质指纹图谱技术筛选类风湿性关节炎(RA)患者血清中的特异性标志物,建立RA疾病相关的蛋白质组学诊断模型。方法采用弱阳离子纳米磁性微珠捕获血清蛋白,ProteinChip PBSII-C型蛋白质芯片阅读仪分别绘制性别年龄匹配的43例RA患者组及100例对照组(包括自身免疫性疾病对照组50例和正常对照组50例)的血清蛋白质指纹图谱,经Biomarker Wizard3.1软件分析蛋白峰后,再用Biomarker Patterns Software5.0软件筛查与RA疾病诊断密切相关的特异性血清蛋白标志物,建立RA诊断模型。结果在RA患者组中找到34个蛋白峰与对照组具有统计学差异(P<0.05),经Biomarker Patterns Software5.0软件识别,发现其中四个质荷比(m/z)分别为4966.89,5065.3,5636.97,7766.88的蛋白峰联合起来作为诊断模型,辨别RA患者及对照组的敏感性为86.36%,特异性为92.16%。对患者标本进行双盲验证,该诊断模型对RA的诊断敏感性为85.71%,特异性为87.76%。结论采用弱阳离子纳米磁性微珠与蛋白质芯片阅读仪联用的蛋白质指纹...

英文摘要：

Objective To identify serum protein biomarkers and build a diagnostic model for rheumatoid arthritis(RA).Methods Total of 43 serum samples from RA patients and 100 samples from controls were detected by Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS).All data was screened by Biomarker Wizard 3.1 software to find new specific biomarkers and aoptimal diagnostic model for RA was built by Biomarker Patterns Software 5.0.Results In RA,34 protein peaks were significantly...