Good, David M. and Zuerbig, Petra and Argiles, Angel and Bauer, Hartwig W. and Behrens, Georg and Coon, Joshua J. and Dakna, Mohammed and Decramer, Stephane and Delles, Christian and Dominiczak, Anna F. and Ehrich, Jochen H. H. and Eitner, Frank and Fliser, Danilo and Frommberger, Moritz and Ganser, Arnold and Girolami, Mark A. and Golovko, Igor and Gwinner, Wilfried and Haubitz, Marion and Herget-Rosenthal, Stefan and Jankowski, Joachim and Jahn, Holger and Jerums, George and Julian, Bruce A. and Kellmann, Markus and Kliem, Volker and Kolch, Walter and Krolewski, Andrzej S. and Luppi, Mario and Massy, Ziad and Melter, Michael and Neusuess, Christian and Novak, Jan and Peter, Karlheinz and Rossing, Kasper and Rupprecht, Harald and Schanstra, Joost P. and Schiffer, Eric and Stolzenburg, Jens-Uwe and Tarnow, Lise and Theodorescu, Dan and Thongboonkerd, Visith and Vanholder, Raymond and Weissinger, Eva M. and Mischak, Harald and Schmitt-Kopplin, Philippe (2010) Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease. MOLECULAR & CELLULAR PROTEOMICS, 9 (11). pp. 2424-2437. ISSN 1535-9476,
Full text not available from this repository. (Request a copy)Abstract
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. Molecular & Cellular Proteomics 9:2424-2437, 2010.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ELECTRON-TRANSFER DISSOCIATION; SUPPORT VECTOR MACHINES; RESOLUTION PROTEOME/PEPTIDOME ANALYSIS; TAMM-HORSFALL PROTEIN; MASS-SPECTROMETRY; CAPILLARY-ELECTROPHORESIS; BIOMARKER DISCOVERY; PROTEOMIC ANALYSIS; 2-DIMENSIONAL ELECTROPHORESIS; SEQUENCE-ANALYSIS; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Kinder- und Jugendmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 07 Jul 2020 12:53 |
| Last Modified: | 07 Jul 2020 12:53 |
| URI: | https://pred.uni-regensburg.de/id/eprint/23969 |
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