Dihazi Hassan, Müller Gerhard A
Georg-August University Göttingen, Department of Nephrology & Rheumatology, Robert-Koch-Strasse 40, D-37075 Göttingen, Germany.
Expert Rev Proteomics. 2007 Feb;4(1):39-50. doi: 10.1586/14789450.4.1.39.
There is intense interest in applying proteomics to urine analysis in order to promote a better understanding of kidney disease processes, develop new biomarkers for diagnosis and detect early factors that contribute to end-stage renal diseases. This interest creates numerous opportunities as well as challenges. To fulfill this task, proteomics requires, in its different stages of realization, various technological platforms with high sensitivity, high throughput and large automation ability. In this review, we will give an overview of promising proteomic methods that can be used for analyzing urinary proteome and detecting biomarkers for different kidney diseases. Furthermore, we will focus on the current status and future directions in investigating kidney diseases using urinary proteomics.
为了更好地理解肾脏疾病过程、开发用于诊断的新生物标志物以及检测导致终末期肾病的早期因素,人们对将蛋白质组学应用于尿液分析有着浓厚的兴趣。这种兴趣带来了众多机遇,也带来了挑战。为了完成这项任务,蛋白质组学在其不同的实现阶段需要各种具有高灵敏度、高通量和高自动化能力的技术平台。在这篇综述中,我们将概述可用于分析尿蛋白质组和检测不同肾脏疾病生物标志物的有前景的蛋白质组学方法。此外,我们将重点关注使用尿液蛋白质组学研究肾脏疾病的现状和未来方向。