Nanni Paolo, Levander Fredrik, Roda Giulia, Caponi Alessandra, James Peter, Roda Aldo
Department of Pharmaceutical Sciences, University of Bologna, Via Belmeloro 6, Bologna 40126, Italy.
J Chromatogr B Analyt Technol Biomed Life Sci. 2009 Oct 1;877(27):3127-36. doi: 10.1016/j.jchromb.2009.08.003. Epub 2009 Aug 7.
The identification of serum biomarkers for the diagnosis of inflammatory bowel diseases able to reduce the need for invasive tests represents a major goal in their therapy and follow-up. We report here a methodological approach for the evaluation of specific changes in the serum peptides abundance in healthy (H) and Crohn's disease (CD) subjects, based on a label-free LC ESI/Q-TOF differential mass spectrometry (MS) approach combined with targeted MS/MS analysis. The low molecular weight serum proteins were separated by RP nano-LC ESI/Q-TOF MS and the resulting datasets were aligned with msInspect software. The differently abundant peptides, evaluated using Proteios Software Environment, were identified by MS/MS analysis and database search. The identification of clusters of peptides resulting from proteins (such as fibrinogen-alpha) commonly involved in physiological processes lead to the evaluation of a possible role in CD of specific serum exoproteases. An assay based on synthetic peptides spiked into H, CD and ulcerative colitis (UC) serum samples as substrate, followed by MALDI MS and chemometric analysis of the metabolite patterns has been developed achieving a 100% discrimination between CD, UC and H subjects. The results are promising for the application of this approach as a simple tool for diagnostic aims and biomarker discovery in CD.
鉴定能够减少侵入性检测需求的用于诊断炎症性肠病的血清生物标志物是其治疗和随访中的一个主要目标。我们在此报告一种基于无标记液相色谱电喷雾电离/四极杆飞行时间串联质谱(MS)方法并结合靶向MS/MS分析来评估健康(H)受试者和克罗恩病(CD)受试者血清肽丰度特定变化的方法。低分子量血清蛋白通过反相纳米液相色谱电喷雾电离/四极杆飞行时间质谱进行分离,所得数据集使用msInspect软件进行比对。使用Proteios软件环境评估差异丰度的肽,通过MS/MS分析和数据库搜索进行鉴定。对通常参与生理过程的蛋白质(如纤维蛋白原-α)产生的肽簇进行鉴定,从而评估特定血清外切蛋白酶在CD中的可能作用。已开发出一种基于将合成肽作为底物加入H、CD和溃疡性结肠炎(UC)血清样本中,随后进行基质辅助激光解吸电离质谱和代谢物模式化学计量分析的检测方法,实现了对CD、UC和H受试者的100%区分。这些结果对于将该方法作为CD诊断目的和生物标志物发现的简单工具的应用而言很有前景。