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Good, D.M.* ; Zürbig, P.* ; Argilés, A.* ; Bauer, H.W.* ; Behrens, G.* ; Coon, J.J.* ; Dakna, M.* ; Decramer, S.* ; Delles, C.* ; Dominiczak, A.F.* ; Ehrich, J.H.* ; Eitner, F.* ; Fliser, D.* ; Frommberger, M. ; Ganser, A.* ; Girolami, M.A.* ; Golovko, I.* ; Gwinner, W.* ; Haubitz, M.* ; Herget-Rosenthal, S.* ; Jankowski, J.* ; Jahn, H.* ; Jerums, G.* ; Julian, B.A.* ; Kellmann, M.* ; Kliem, V.* ; Kolch, W.* ; Krolewski, A.S.* ; Luppi, M.* ; Massy, Z.* ; Melter, M.* ; Neusüss, C.* ; Novak, J.* ; Peter, K.* ; Rossing, K.* ; Rupprecht, H.* ; Schanstra, J.P.* ; Schiffer, E.* ; Stolzenburg, J.U.* ; Tarnow, L.* ; Theodorescu, D.* ; Thongboonkerd, V.* ; Vanholder, R.* ; Weissinger, E.M.* ; Mischak, H.* ; Schmitt-Kopplin, P.

Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.

Mol. Cell. Proteomics 9, 2424-2437 (2010)
Verlagsversion DOI PMC
Open Access Gold
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2010
HGF-Berichtsjahr 2010
ISSN (print) / ISBN 1535-9476
e-ISSN 1535-9484
Zeitschrift Molecular and Cellular Proteomics
Quellenangaben Band: 9, Heft: 11, Seiten: 2424-2437 Artikelnummer: , Supplement: ,
Verlag American Society for Biochemistry and Molecular Biology
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Ecological Chemistry (IOEC)
PSP-Element(e) G-505190-001
PubMed ID 20616184
DOI 10.1074/mcp.M110.001917
Scopus ID 78149291420
Erfassungsdatum 2010-11-25
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