目的:本实验应用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)寻找SLE患者血清中与疾病相关及条件特异的差异性表达多肽,尝试建立SLE的多肽鉴别诊断模型.方法:将SLE患者分为活动期和非活动期两组,以健康志愿者作为正常对照组.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,对活动期SLE组的诊断敏感性达91.7%,非活动期SLE组诊断敏感性达83.3%,对正常对照组的诊断特异性达86.7%.结论:运用多肽指纹图谱法从一个整体的角度进行疾病研究,为更好地理解SLE的发病机制和改进SLE的诊断方法进行了初步的探索.%Objective :To find differentially expressed disease-related and condition-specific peptides in sera from patients with SLE by utilization of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALD1-TOF-MS) ,and to develop and validate the peptide classification model for diagnosis of SLE.Methods :SLE patients were divided into two groups ,active SLE and stable SLE ,and healthy donors were as normal control.We performed magnetic beads-based weak cation exchange for sample processing and MALDI-TOF-MS for peptide profiling.ClinProt software 2.1 (Bruker Daltonics Company ) was used for data analysis and genetic algorithm was modeled for class prediction.Results :A series of significant short peptides were successfully detected and identified.Classification models were developed ,and achieved high capability of prediction and cross-validation.Blinded verification of the classification model showed 91.7％ sensitivity in active-SLE,83.3％ sensitivity in stable-SLE and 86.7％ specificity in normal controls.Conclusion :A preliminary work is done for a better understanding of the pathogenesis of SLE and improving diagnosis of SLE from an integrated perspective of peptide mass fingerprinting.
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