RRMS疾病潜在生物标记物关系探讨

目的通过对复发-缓解型多发性硬化(RRMS)患者脑脊液进行比较蛋白质组学及生物信号网络分析,探索其潜在生物标记物之间以及生物标记物与该疾病间的关系。方法分别收集RRMS组和对照组脑脊液进行双向凝胶电泳,ImageMaster 2D图像分析软件筛选出表达有显著差异的蛋白质点,基质辅助激光解吸电离／飞行时间质谱对其进行鉴定,ELISA进行定量验证,MetaCore集成软件对所鉴定蛋白质进行相关分析。结果8个蛋白质点在两组凝胶图谱上存在明显差异,4个点在RRMS组显著上调,4个点下调,其中Cystatin C 的ELISA结果为，RRMS组(4.36±1.22)mg／L，对照组(6.00±1.68)mg／L,两组比较，差异有统计学意义(P＜0.01)。结果表明，对所鉴定蛋白质成功构建了信号网络图谱。结论蛋白质点的差异表达及其生物信号网络图谱在分子水平上对RRMS疾病的发病机理、鉴别诊断及药物靶点的探索提供了依据。

Potential biomarkers in RRMS

Comparative proteomics and biological signaling network analysis were carried out in the cerebrospinal fluid (CSF) of patients with relapsing remitting MS (RRMS) to investigate the relationships among the potential biomarkers and between the biomarkers and RRMS. MethodsCSF of patients with RRMS and the controls was collected and determined by the 2-dimensional electrophoresis(2-DE). The differential expression protein spots were selected with the Image Master 2D-gel software and identified with the matrix assisted laser desorption ionization time of flight mass spectrometry(MALDI-TOF-MS). ELISA was performed to verified one of the protein spots, Cystatin C. Finally the correlations of these proteins were analyzed by MetaCore integrated software. ResultsThere were eight protein spots expressed differentially on the 2-DE maps, in which four up regulated and four down regulated proteins were identified in RRMS. Cystatin C was down regulated and further confirmed by the ELISA assay(4.36±1.22mg／L, 6.00±1.68mg／L, P＜0.01). A map of signaling network about these proteins was built by MetaCore integrated software. ConclusionThe differential expressions and biological signaling network researches of the proteins assist in exploring the pathogenesis, differential diagnosis and drug targets of RRMS on molecular level.