Nanni Paolo, Parisi Daniela, Roda Giulia, Casale Monica, Belluzzi Andrea, Roda Enrico, Mayer Lloyd, Roda Aldo
Department of Pharmaceutical Sciences, University of Bologna, Via Belmeloro 6, Bologna, Italy.
Rapid Commun Mass Spectrom. 2007;21(24):4142-8. doi: 10.1002/rcm.3323.
The identification of new biomarkers or a disease-related protein fingerprint for inflammatory bowel diseases (IBDs) represents a major task in the diagnosis, prognosis and pharmacological therapy. To address these issues, a simple and rapid analytical proteomic method for serum protein profiling based on selective beads-based solid-phase bulk extraction, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and chemometric data analysis was developed. Serum proteins from healthy subjects (22) and patients with Crohn's disease (15) and ulcerative colitis (26) were selectively extracted according to reversed-phase (C18), strong anion-exchange (SAX) and metal ion affinity (IDA-Cu(II)) principles. This approach allowed enrichment of serum proteins/peptides due to the high interaction surface between analytes and the solid phase and high recovery due to the elution step performed directly on the MALDI-target plate. The MALDI-TOF MS serum protein profiles were acquired and, after a data pre-processing step, analyzed by linear discriminant analysis (LDA), a chemometric classification technique, in order to classify serum samples among healthy subjects and patients with inflammatory bowel diseases (IBDs). Since the high number of variables in the MALDI spectra (more than 16000 m/z values) prevents the use of LDA, the variables were reduced to 10-20 by features selection, thus allowing the evaluation of a pattern of m/z values with high discriminant power. Serum protein profiles obtained by reversed-phase extraction and the selection of 20 m/z values gave the best overall prediction ability (96.9%). The recognition of these m/z values may allow the identification of protein biomarkers involved in IBDs.
鉴定炎症性肠病(IBD)的新生物标志物或疾病相关蛋白指纹图谱是诊断、预后和药物治疗中的一项主要任务。为了解决这些问题,我们开发了一种基于选择性磁珠固相批量萃取、基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)和化学计量学数据分析的简单快速的血清蛋白分析蛋白质组学方法。根据反相(C18)、强阴离子交换(SAX)和金属离子亲和(IDA-Cu(II))原理,选择性提取健康受试者(22例)、克罗恩病患者(15例)和溃疡性结肠炎患者(26例)的血清蛋白。由于分析物与固相之间具有高相互作用表面,且直接在MALDI靶板上进行洗脱步骤,该方法可实现血清蛋白/肽的富集和高回收率。获取MALDI-TOF MS血清蛋白图谱,并在数据预处理步骤后,通过化学计量学分类技术线性判别分析(LDA)进行分析,以便在健康受试者和炎症性肠病(IBD)患者中对血清样本进行分类。由于MALDI光谱中的变量数量众多(超过16000个m/z值),无法使用LDA,因此通过特征选择将变量减少到10 - 20个,从而能够评估具有高判别力的m/z值模式。通过反相萃取获得的血清蛋白图谱以及对20个m/z值的选择给出了最佳的总体预测能力(96.9%)。识别这些m/z值可能有助于鉴定参与IBD的蛋白质生物标志物。