Wilkey Daniel W, Merchant Michael L
Kidney Disease Program, University of Louisville, Louisville, KY 40202, USA.
Semin Nephrol. 2007 Nov;27(6):584-96. doi: 10.1016/j.semnephrol.2007.09.001.
Many challenges exist with disease-state biomarker identification. These challenges include sample heterogeneity, poorly designed sample sets, insufficient numbers of samples, as well as inconvenient workflows, inadequate methodology, and development of false-positive markers resulting from protein degradation during sample handling. Yet despite these difficulties, substantial progress has been achieved with the application of proteomic methods toward biomarker discovery in renal disease. Significant advances have occurred in the past decade with electrophoretic, chromatographic, and mass spectrometric methods for discerning biomarkers of disease. Recent applications of proteomics to the study of renal disease have identified new mechanisms in renal disease progression and established protein expression profiles for complex renal diseases including glomerular and tubular pathologies. In some cases these protein profiles have proven successful with guiding patient treatment and markers for pharmacologic therapies. Proteomic analysis only recently has been applied to the study of renal disease, yet it has shown substantial potential for future successes.
疾病状态生物标志物的识别存在许多挑战。这些挑战包括样本异质性、样本集设计不佳、样本数量不足,以及工作流程不便、方法不充分,还有在样本处理过程中因蛋白质降解导致假阳性标志物的产生。然而,尽管存在这些困难,蛋白质组学方法在肾脏疾病生物标志物发现中的应用已经取得了实质性进展。在过去十年中,用于识别疾病生物标志物的电泳、色谱和质谱方法取得了重大进展。蛋白质组学最近在肾脏疾病研究中的应用已经确定了肾脏疾病进展的新机制,并建立了包括肾小球和肾小管病变在内的复杂肾脏疾病的蛋白质表达谱。在某些情况下,这些蛋白质谱已被证明在指导患者治疗和药物治疗标志物方面是成功的。蛋白质组学分析直到最近才应用于肾脏疾病的研究,但它已显示出未来取得成功的巨大潜力。