作者
Justyna Siwy, Petra Zürbig, Angel Argiles, Joachim Beige, Marion Haubitz, Joachim Jankowski, Bruce A Julian, Peter G Linde, David Marx, Harald Mischak, William Mullen, Jan Novak, Alberto Ortiz, Frederik Persson, Claudia Pontillo, Peter Rossing, Harald Rupprecht, Joost P Schanstra, Antonia Vlahou, Raymond Vanholder
发表日期
2017/12/1
期刊
Nephrology Dialysis Transplantation
卷号
32
期号
12
页码范围
2079-2089
出版商
Oxford University Press
简介
Background
In spite of its invasive nature and risks, kidney biopsy is currently required for precise diagnosis of many chronic kidney diseases (CKDs). Here, we explored the hypothesis that analysis of the urinary proteome can discriminate different types of CKD irrespective of the underlying mechanism of disease.
Methods
We used data from the proteome analyses of 1180 urine samples from patients with different types of CKD, generated by capillary electrophoresis coupled to mass spectrometry. A set of 706 samples served as the discovery cohort, and 474 samples were used for independent validation. For each CKD type, peptide biomarkers were defined using statistical analysis adjusted for multiple testing. Potential biomarkers of statistical significance were combined in support vector machine (SVM)-based classifiers.
Results
For seven different types …
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J Siwy, P Zürbig, A Argiles, J Beige, M Haubitz… - Nephrology Dialysis Transplantation, 2017