Specific serum protein biomarkers of rheumatoid arthritis detected by MALDI-TOF-MS combined with magnetic beads
Specific serum protein biomarkers of rheumatoid arthritis detected by MALDI-TOF-MS combined with magnetic beads
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MALDI-TOF-MS联合磁珠检测类风湿关节炎特异性血清蛋白生物标志物
DOI：
10.1093/intimm/dxq043
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发表时间：
2010-07-01
影响因子：
4.4
通讯作者：
Hu, Chaojun
中科院分区：
文献类型：
--
作者：
Niu, Qian;Huang, Zhuochun;Hu, Chaojun
目标。目的：利用蛋白质组学技术鉴定新的血清蛋白生物标志物，建立类风湿关节炎（RA）的诊断模式。方法。采用基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF-MS）结合弱阳离子交换磁珠生成血清蛋白质组学谱。通过对22名RA患者、26名其他自身免疫性疾病患者和25名年龄和性别匹配的健康志愿者的血清进行分析，得出了一组光谱训练集，用于训练和开发一个决策树模型，该模型采用了一种称为决策促进的机器学习算法。采用盲法测试，包括21名RA患者、24名其他自身免疫性疾病患者和25名健康人群，来检验模型的准确性。结果。建立决策树模型，由m/z值分别为4966.88、5065.3、5636.97和7766.87的4个潜在蛋白生物标志物组成。在验证试验中，决策树模型能够区分RA与其他自身免疫性疾病和健康人，其敏感性为85.71%，特异性为87.76%。结论。MALDI-TOF-MS联合磁珠可以筛选和鉴定一些与RA相关的新型血清蛋白生物标志物。基于四种候选生物标志物的蛋白质组学模式对RA的实验室诊断有价值。
Objectives. To identify novel serum protein biomarkers and establish diagnostic pattern for rheumatoid arthritis (RA) by using proteomic technology. Methods. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) combined with weak cationic exchange magnetic beads. A training set of spectra, derived from analyzing sera from 22 patients with RA, 26 patients with other autoimmune diseases and 25 age- and sex-matched healthy volunteers, was used to train and develop a decision tree model with a machine learning algorithm called decision boosting. A blinded testing set, including 21 patients with RA, 24 patients with other autoimmune diseases and 25 healthy people, was used to examine the accuracy of the model. Results. A decision tree model was established, consisting of four potential protein biomarkers whose m/z values were 4966.88, 5065.3, 5636.97 and 7766.87, respectively. In validation test, the decision tree model could differentiate RA from other autoimmune diseases and healthy people with the sensitivity of 85.71% and specificity of 87.76%, respectively. Conclusions. The present data suggested that MALDI-TOF-MS combined with magnetic beads could screen and identify some novel serum protein biomarkers related to RA. The proteomic pattern based on the four candidate biomarkers is of value for laboratory diagnosis of RA.