Serum Protein Profiles in Myasthenia Gravis
Serum Protein Profiles in Myasthenia Gravis
复制标题
重症肌无力的血清蛋白谱。
DOI：
10.1016/j.athoracsur.2009.05.032
复制
发表时间：
2009-10-01
影响因子：
4.6
通讯作者：
Pan, Jingxuan
中科院分区：
文献类型：
--
作者：
Cheng, Chao;Wu, Guoyong;Pan, Jingxuan
背景。重症肌无力（MG）的诊断仍然具有挑战性。我们使用表面增强激光解吸/电离（SELDI）飞行时间质谱（TOFMS）进行了蛋白质组范围内的搜索，以寻找MG潜在的血清蛋白诊断标志物。用SELDI方法对80例MG患者和80例健康人进行了蛋白质组学分析。对训练集中56例MG患者和56例健康个体的样本进行分析，建立决策树。采用24例MG患者和24例健康人的样本进行交叉验证检验。SELDI TOFMS分析产生101个峰，代表1000到20000 Da之间的差异表达蛋白。与对照组相比，MG血清中9个峰下调，30个峰上调。决策树在分类过程中使用M4168.94 Da和M1122.57 Da的峰值作为分离器。在训练集中，有112个样本被划分为MG或对照组，敏感性为100%，特异性为89.3%；10倍交叉验证分析确定了相对交叉验证成本最低的最优决策树，为0.080。在测试集中，生成的决策树能够识别24名MG患者中的20名和24名健康个体中的21名，敏感性为83.3%，特异性为87.5%。SELDI TOFMS是一种检测和鉴定潜在血清生物标志物的有用工具，可以高灵敏度和特异性地诊断MG。（Ann Thorac surgery 2009;88:1118-23） (C) 2009年由美国胸外科医师学会出版
Background. The diagnosis of myasthenia gravis (MG) remains challenging. We performed a proteome-wide search for potential serum protein diagnostic markers for MG using surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry (TOFMS).Methods. Proteomic spectra from 80 MG patients and 80 healthy individuals were generated by SELDI. Samples from 56 MG patients and 56 healthy individuals in the training set were analyzed to set up the decision tree. Samples from 24 MG patients and 24 healthy individuals were used for cross-validation testing.Results. The SELDI TOFMS analysis generated 101 peaks, representing differentially expressed proteins between 1000 and 20000 Da. Among them, 9 peaks were down-regulated and 30 others were up-regulated in the MG sera compared with the controls. The decision tree used the peak at M4168.94 Da and M1122.57 Da as splitters in the classification process. In the training set, 112 samples were classified as MG or control group, with a sensitivity of 100% and specificity of 89.3%; the 10-fold cross-validated analysis identified the optimal decision tree with the lowest relative cross-validated cost of 0.080. In the test set, the decision tree generated was able to identify 20 of 24 MG patients and 21 of 24 healthy individuals with a sensitivity of 83.3% and a specificity of 87.5%.Conclusions. SELDI TOFMS is a useful tool for the detection and identification of potential serum biomarkers that can diagnose MG with high sensitivity and specificity. (Ann Thorac Surg 2009;88:1118-23) (C) 2009 by The Society of Thoracic Surgeons GENERAL THORACIC