David M. GoodPetra ZürbigÀngel ArgilésHartwig W. BauerGeorg BehrensJoshua J. CoonMohammed DaknaStéphane DecramerChristian DellesAnna F. DominiczakJochen H.H. EhrichFrank EitnerDanilo FliserMoritz FrommbergerArnold GanserMark A. GirolamiIgor GolovkoWilfried GwinnerMarion HaubitzStefan Herget-RosenthalJoachim JankowskiHolger JahnGeorge JerumsBruce A. JulianMarkus KellmannVolker KliemWalter KolchAndrzej S. KrolewskiMario LuppiZiad MassyMichael MelterChristian NeusüssJan NovakKarlheinz PeterKasper RossingHarald RupprechtJoost P. SchanstraEric SchifferJens Uwe StolzenburgLise TarnowDan TheodorescuVisith ThongboonkerdRaymond VanholderEva M. WeissingerHarald MischakPhilippe Schmitt-KopplinrUniversity of Wisconsin MadisonMosaiques Diagnostics and Therapeutics AGRD NéphrologieLudwig-Maximilians-Universitat MunchenMedizinische Hochschule Hannover (MHH)InsermHopital des EnfantsUniversity of GlasgowMedizinische Fakultat und Universitats Klinikum AachenUniversitatsklinikum des Saarlandes Medizinische Fakultat der Universitat des SaarlandesHelmholtz Center Munich German Research Center for Environmental HealthRed Cross HospitalCharité – Universitätsmedizin BerlinUniversitatsklinikum Hamburg-Eppendorf und Medizinische FakultatUniversity of MelbourneUniversity of AlabamaThermo Fisher Scientific, GermanyLower Saxony Centre for NephrologyUniversity College DublinJoslin Diabetes CenterHarvard Medical SchoolUniversita degli Studi di Modena e Reggio EmiliaCHU Amiens PicardieUniversitat RegensburgUniversity of AalenBaker Heart and Diabetes InstituteSteno Diabetes CenterTransfusion Centre BayreuthUniversitat LeipzigUniversity of VirginiaMahidol UniversityUniversity Hospital of GhentUniversity Colorado Cancer Center2018-09-242018-09-242010-11-01Molecular and Cellular Proteomics. Vol.9, No.11 (2010), 2424-243715359484153594762-s2.0-78149291420https://repository.li.mahidol.ac.th/handle/20.500.14594/28611Because 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. © 2010 by The American Society for Biochemistry and Molecular Biology, Inc.Mahidol UniversityBiochemistry, Genetics and Molecular BiologyChemistryArticleSCOPUS10.1074/mcp.M110.001917