Mosaiques diagnostics GmbH, Hannover, Germany.
Proteomics Clin Appl. 2011 Jun;5(5-6):367-74. doi: 10.1002/prca.201000155. Epub 2011 May 18.
Human urine is an ideal candidate for use in clinical diagnostics. It is easily available, as untrained personnel can collect it. It correlates well with the pathophysiology of a number of diseases, making it a useful source for clinical proteomics.
In this article, we give an update of the human urinary peptide database derived from over 13,000 data sets of CE-MS by now.
Urine samples from both patients and healthy subjects were analyzed by CE-MS; these included 47 different pathophysiological conditions. Besides defining biomarkers by their experimental parameters, information on their sequences provides fundamental data into the pathological pathways of diseases. Therefore, we have sequenced 953 urinary peptides by using state-of-the-art top-down MS/MS. Identified biomarkers of all clinical proteomic CE-MS studies including their regulation are also listed in this work.
Biomarker discovery can be used in the management of a wide range of diseases, by combining these data sets of the database. Taking this approach, we can reveal details, at a molecular level, on the pathogenesis of a number of diseases, in particular those associated with urine production and excretion.
人体尿液是用于临床诊断的理想候选物。它易于获得，因为未经训练的人员可以收集它。它与许多疾病的病理生理学密切相关，因此是临床蛋白质组学的有用来源。
在本文中，我们更新了目前从超过 13000 个 CE-MS 数据集得出的人类尿肽数据库。
通过 CE-MS 分析了来自患者和健康受试者的尿液样本；这些包括 47 种不同的病理生理状况。除了通过实验参数定义生物标志物外，其序列信息还为疾病的病理途径提供了基本数据。因此，我们使用最先进的自上而下的 MS/MS 对 953 种尿肽进行了测序。本工作还列出了所有临床蛋白质组学 CE-MS 研究的鉴定生物标志物及其调控。
通过组合这些数据库中的数据集，可以将生物标志物发现用于广泛疾病的管理。通过采用这种方法，我们可以在分子水平上揭示许多疾病，特别是与尿液生成和排泄相关的疾病的发病机制的细节。
