Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease
| Autor: | Harald D. Rupprecht, Philippe Schmitt-Kopplin, Marion Haubitz, Àngel Argilés, Michael Melter, Hartwig W. Bauer, Petra Zürbig, Mark Girolami, Mohammed Dakna, Anna F. Dominiczak, Lise Tarnow, Georg M. N. Behrens, Ziad A. Massy, Joshua J. Coon, Visith Thongboonkerd, Walter Kolch, Arnold Ganser, Holger Jahn, Karlheinz Peter, Raymond Vanholder, David M. Good, Volker Kliem, Jochen H. H. Ehrich, Eva M. Weissinger, Wilfried Gwinner, Kasper Rossing, Bruce A. Julian, George Jerums, Eric Schiffer, Christian Neusüss, Andrzej S. Krolewski, Jan Novak, Dan Theodorescu, Harald Mischak, Danilo Fliser, Jens-Uwe Stolzenburg, Christian Delles, Joost P. Schanstra, Igor Golovko, Mario Luppi, Stefan Herget-Rosenthal, Stéphane Decramer, Frank Eitner, Markus Kellmann, Joachim Jankowski, Moritz Frommberger |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Proteomics Tamm–Horsfall protein Databases Factual Urinary system 030232 urology & nephrology Urine Bioinformatics Biochemistry Mass Spectrometry Analytical Chemistry Young Adult 03 medical and health sciences 0302 clinical medicine medicine Humans Biomarker discovery Chronic kidney disease proteomics/peptidomics Capillary electrophoresis mass spectrometry experiments CE-MS Urinary Peptidome Molecular Biology Aged 030304 developmental biology 0303 health sciences Kidney biology Research Electrophoresis Capillary Middle Aged medicine.disease 3. Good health medicine.anatomical_structure ROC Curve biology.protein Kidney Failure Chronic Biomarker (medicine) Female Peptides Biomarkers Kidney disease |
| Zdroj: | Molecular & Cellular Proteomics Mol. Cell. Proteomics 9, 2424-2437 (2010) Molecular & Cellular Proteomics; Vol 9 |
| ISSN: | 1535-9484 1535-9476 |
| DOI: | 10.1074/mcp.m110.001917 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|