Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease

• DOI: 10.1074/mcp.m110.001917
• Publication Date: 2010-07-09T02:25:46Z
• Authors: David M. Good; Petra Zürbig; Àngel Argilés; Hartwig W. Bauer; Georg Behrens; Joshua J. Coon; Mohammed Dakna; Stéphane Decramer; Christian Delles; Anna F. Dominiczak; Jochen H.H. Ehrich; Frank Eitner; Danilo Fliser; Moritz Frommberger; Arnold Ganser; Mark A. Girolami; Igor Golovko; Wilfried Gwinner; Marion Haubitz; Stefan Herget-Ros...; Joachim Jankowski; Holger Jahn; George Jerums; Bruce A. Julian; Markus Kellmann; Volker Kliem; Walter Kolch; Andrzej S. Krolewski; Mario Luppi; Ziad Massy; Michael Melter; Christian Neusüss; Jan Novak; Karlheinz Peter; Kasper Rossing; Harald Rupprecht; Joost P. Schanstra; Eric Schiffer; Jens-Uwe Stolzenburg; Lise Tarnow; Dan Theodorescu; Visith Thongboonkerd; Raymond Vanholder; Eva M. Weissinger; Harald Mischak; Philippe Schmitt-...
• Keywords: Adult; Male; Proteomics; 0301 basic medicine; Databases, Factual; Electrophoresis, Capillary; Middle Aged; Mass Spectrometry; 3. Good health; Young Adult; 03 medical and health sciences; ROC Curve; Humans; Kidney Failure, Chronic; Female; Chronic kidney disease; proteomics/peptidomics; Capillary electrophoresis; mass spectrometry experiments; CE-MS; Urinary Peptidome; Peptides; Biomarkers; Aged

Because of its availability, ease collection, and correlation with physiology pathology, urine is an attractive source for clinical proteomics/peptidomics. However, the lack comparable data sets from large cohorts has greatly hindered development proteomics. Here, we report establishment a reproducible, high resolution method peptidome analysis naturally occurring human urinary peptides proteins, ranging 800 to 17,000 Da, using samples 3,600 individuals analyzed by capillary electrophoresis coupled MS. All processed were deposited in Structured Query Language (SQL) database. This database currently contains 5,010 relevant unique that serve as pool potential classifiers diagnosis monitoring various diseases. As example, this information, able define peptide biomarkers chronic kidney diseases, allowing these diseases accuracy. Application disease-specific biomarker set independent test cohort subsequent replication phase resulted 85.5% sensitivity 100% specificity. These results indicate usefulness MS applications peptides.