Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis

Justyna Siwy*, Petra Zuerbig, 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

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


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 474samples 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 of CKD, several potential urinary biomarker peptides (ranging from 116 to 619 peptides) were defined and combined into SVM-based classifiers specific for each CKD. These classifiers were validated in an independent cohort and showed good to excellent accuracy for discrimination of one CKD type from the others (area under the receiver operating characteristic curve ranged from 0.77 to 0.95). Sequence analysis of the biomarkers provided further information that may clarify the underlying pathophysiology.

Conclusions. Our data indicate that urinary proteome analysis has the potential to identify various types of CKD defined by pathological assessment of renal biopsies and current clinical practice in general. Moreover, these approaches may provide information to modelmolecular changes per CKD.

Original languageEnglish
Pages (from-to)2079-2089
Number of pages12
JournalNephrology Dialysis Transplantation
Issue number12
Publication statusPublished - Dec 2017


  • biomarkers
  • chronic kidney disease
  • peptides
  • proteome analysis
  • urine


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