title: Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.
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.
authors.affiliation: Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706, USA.
authors.forename: David M
authors.initials: DM
authors.lastname: Good
authors.forename: Petra
authors.initials: P
authors.lastname: Zürbig
authors.forename: Angel
authors.initials: A
authors.lastname: Argilés
authors.forename: Hartwig W
authors.initials: HW
authors.lastname: Bauer
authors.forename: Georg
authors.initials: G
authors.lastname: Behrens
authors.forename: Joshua J
authors.initials: JJ
authors.lastname: Coon
authors.forename: Mohammed
authors.initials: M
authors.lastname: Dakna
authors.forename: Stéphane
authors.initials: S
authors.lastname: Decramer
authors.forename: Christian
authors.initials: C
authors.lastname: Delles
authors.forename: Anna F
authors.initials: AF
authors.lastname: Dominiczak
authors.forename: Jochen H H
authors.initials: JH
authors.lastname: Ehrich
authors.forename: Frank
authors.initials: F
authors.lastname: Eitner
authors.forename: Danilo
authors.initials: D
authors.lastname: Fliser
authors.forename: Moritz
authors.initials: M
authors.lastname: Frommberger
authors.forename: Arnold
authors.initials: A
authors.lastname: Ganser
authors.forename: Mark A
authors.initials: MA
authors.lastname: Girolami
authors.forename: Igor
authors.initials: I
authors.lastname: Golovko
authors.forename: Wilfried
authors.initials: W
authors.lastname: Gwinner
authors.forename: Marion
authors.initials: M
authors.lastname: Haubitz
authors.forename: Stefan
authors.initials: S
authors.lastname: Herget-Rosenthal
authors.forename: Joachim
authors.initials: J
authors.lastname: Jankowski
authors.forename: Holger
authors.initials: H
authors.lastname: Jahn
authors.forename: George
authors.initials: G
authors.lastname: Jerums
authors.forename: Bruce A
authors.initials: BA
authors.lastname: Julian
authors.forename: Markus
authors.initials: M
authors.lastname: Kellmann
authors.forename: Volker
authors.initials: V
authors.lastname: Kliem
authors.forename: Walter
authors.initials: W
authors.lastname: Kolch
authors.forename: Andrzej S
authors.initials: AS
authors.lastname: Krolewski
authors.forename: Mario
authors.initials: M
authors.lastname: Luppi
authors.forename: Ziad
authors.initials: Z
authors.lastname: Massy
authors.forename: Michael
authors.initials: M
authors.lastname: Melter
authors.forename: Christian
authors.initials: C
authors.lastname: Neusüss
authors.forename: Jan
authors.initials: J
authors.lastname: Novak
authors.forename: Karlheinz
authors.initials: K
authors.lastname: Peter
authors.forename: Kasper
authors.initials: K
authors.lastname: Rossing
authors.forename: Harald
authors.initials: H
authors.lastname: Rupprecht
authors.forename: Joost P
authors.initials: JP
authors.lastname: Schanstra
authors.forename: Eric
authors.initials: E
authors.lastname: Schiffer
authors.forename: Jens-Uwe
authors.initials: JU
authors.lastname: Stolzenburg
authors.forename: Lise
authors.initials: L
authors.lastname: Tarnow
authors.forename: Dan
authors.initials: D
authors.lastname: Theodorescu
authors.forename: Visith
authors.initials: V
authors.lastname: Thongboonkerd
authors.forename: Raymond
authors.initials: R
authors.lastname: Vanholder
authors.forename: Eva M
authors.initials: EM
authors.lastname: Weissinger
authors.forename: Harald
authors.initials: H
authors.lastname: Mischak
authors.forename: Philippe
authors.initials: P
authors.lastname: Schmitt-Kopplin
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000652:urine*; D016208:Databases, Factual; D019075:Electrophoresis, Capillary / Q000379:methods; D005260:Female; D006801:Humans; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000652:urine; D008297:Male; D013058:Mass Spectrometry / Q000379:methods; D008875:Middle Aged; D010455:Peptides / Q000652:urine*; D040901:Proteomics / Q000379:methods*; D012372:ROC Curve; D055815:Young Adult
chemical_list: D015415:Biomarkers; D010455:Peptides