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

• Published in: Molecular & cellular proteomics Vol. 9; no. 11; pp. 2424 - 2437
• Main Authors: Good, David M., Zürbig, Petra, Argilés, Àngel, Bauer, Hartwig W., Behrens, Georg, Coon, Joshua J., Dakna, Mohammed, Decramer, Stéphane, Delles, Christian, Dominiczak, Anna F., Ehrich, Jochen H.H., Eitner, Frank, Fliser, Danilo, Frommberger, Moritz, Ganser, Arnold, Girolami, Mark A., Golovko, Igor, Gwinner, Wilfried, Haubitz, Marion, Herget-Rosenthal, Stefan, Jankowski, Joachim, Jahn, Holger, Jerums, George, Julian, Bruce A., Kellmann, Markus, Kliem, Volker, Kolch, Walter, Krolewski, Andrzej S., Luppi, Mario, Massy, Ziad, Melter, Michael, Neusüss, Christian, Novak, Jan, Peter, Karlheinz, Rossing, Kasper, Rupprecht, Harald, Schanstra, Joost P., Schiffer, Eric, Stolzenburg, Jens-Uwe, Tarnow, Lise, Theodorescu, Dan, Thongboonkerd, Visith, Vanholder, Raymond, Weissinger, Eva M., Mischak, Harald, Schmitt-Kopplin, Philippe
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2010; The American Society for Biochemistry and Molecular Biology
• Subjects: Adult; Aged; Biomarkers - urine; Databases, Factual; Electrophoresis, Capillary - methods; Female; Humans; Kidney Failure, Chronic - diagnosis; Kidney Failure, Chronic - urine; Male; Mass Spectrometry - methods; Middle Aged; Peptides - urine; Proteomics - methods; ROC Curve; Young Adult
• ISSN: 1535-9476; 1535-9484; 1535-9484
• DOI: 10.1074/mcp.M110.001917

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