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尿液蛋白质组学在生物标志物发现中的应用。

Applications of urinary proteomics in biomarker discovery.

机构信息

National Key Laboratory of Medical Molecular Biology, Department of Physiology and Pathophysiology, Institute of Basic Medical Sciences, Peking Union Medical College, Beijing, 100005, China.

出版信息

Sci China Life Sci. 2011 May;54(5):409-17. doi: 10.1007/s11427-011-4162-1. Epub 2011 Mar 31.

Abstract

Urine is an important source of biomarkers. This article reviews current advances, major challenges, and future prospects in the field of urinary proteomics. Because the practical clinical problem is to distinguish diseases with similar symptoms, merely comparing samples from patients of a particular disease to those of healthy individuals is inadequate for finding biomarkers with sufficient diagnostic power. In addition, the variation of expression levels of urinary proteins among healthy individuals and individuals under different physiological conditions adds to the difficulty in identifying biomarkers. We propose that establishing the natural variation in urinary protein expression among a healthy population can serve as a reference to help identify protein abundance changes that are caused by disease, not by individual variations or physiological changes. We also discuss that comparing protein expression levels between urine and plasma may reveal the physiological function of the kidney and that may facilitate biomarker discovery. Finally, we propose that establishing a data-sharing platform for data collection and integrating results from all urinary biomarker studies will help promote the development of urinary proteomics.

摘要

尿液是生物标志物的重要来源。本文综述了尿液蛋白质组学领域的最新进展、主要挑战和未来展望。由于实际的临床问题是区分具有相似症状的疾病,仅仅比较特定疾病患者的样本与健康个体的样本不足以找到具有足够诊断能力的生物标志物。此外,健康个体和不同生理条件下个体尿液蛋白质表达水平的变化增加了识别生物标志物的难度。我们提出,建立健康人群尿液蛋白质表达的自然变化可以作为参考,有助于识别由疾病引起的而不是由个体变异或生理变化引起的蛋白质丰度变化。我们还讨论了比较尿液和血浆中蛋白质表达水平可能揭示肾脏的生理功能,并有助于发现生物标志物。最后,我们提出建立一个用于数据收集的数据共享平台,并整合所有尿液生物标志物研究的结果,将有助于促进尿液蛋白质组学的发展。

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