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目的本实验应用基质辅助激光解析电离飞行时间质谱(MALDI-TOF-MS)寻找RA患者血清中与疾病相关的差异性表达多肽,尝试建立RA的多肽鉴别诊断模型。方法以25名RA患者作为实验组,以24名健康志愿者作为健康对照组。应用弱阳离子交换磁珠分离纯化血清样本,MALDI-TOF-MS获取样本生物学信息,建立分类预测模型。结果成功检测并鉴别出了一系列的差异性多肽,建立了具有高的预测能力和交叉验证能力诊断预测模型。盲法验证该分类模型显示,对RA组的诊断敏感性达80%,对正常对照组的诊断特异性达93.3%。结论运用蛋白质组学技术从一个整体的角度进行疾病研究,为更好地理解RA的发病机制和改进RA的诊断方法进行了初步的探索。
OBJECTIVE: In this study, we used MALDI-TOF-MS to search for differentially expressed disease-related differentially expressed polypeptides in RA patients. We attempted to establish a differential diagnosis model of RA peptides. Methods Twenty-five RA patients were used as experimental group and 24 healthy volunteers as healthy control group. Separation and purification of serum samples with weak cation exchange beads, MALDI-TOF-MS access to sample biological information, the establishment of classification prediction model. Results A series of differential polypeptides were successfully detected and identified, and a diagnostic prediction model with high predictive ability and cross-validation ability was established. Blind validation The classification model showed a sensitivity of 80% for the diagnosis of RA and 93.3% for the normal controls. Conclusion The study of the disease from a holistic point of view using proteomics techniques is a preliminary exploration to better understand the pathogenesis of RA and to improve the diagnosis of RA.