Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Faculty of Health Sciences, NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Mol Syst Biol. 2017 Sep 26;13(9):942. doi: 10.15252/msb.20156297.
Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)-based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous "triangular strategies" aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a "rectangular" plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision-making, and we discuss some first steps in this direction.
临床血液分析是医学中最广泛应用的诊断程序,血液生物标志物用于对患者进行分类,并支持治疗决策。然而,现有的生物标志物远非全面,并且往往缺乏特异性,新的生物标志物的开发速度非常缓慢。正如本综述所述,基于质谱(MS)的蛋白质组学已成为生物学研究中的一种强大技术,现在它有望能够深入地描述血浆蛋白质组。以前的“三角策略”旨在在小队列中发现单个生物标志物候选物,然后在更大的验证队列中使用经典免疫测定法。我们提出了一种“矩形”血浆蛋白质组分析策略,其中大队列的蛋白质组图谱与其在健康和疾病中的表型相关联。将这些概念转化为临床实践需要对诊断决策的几个方面进行重构,我们讨论了朝这个方向迈出的第一步。