Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.
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Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. / Good, David M; Zürbig, Petra; Argilés, Angel; Bauer, Hartwig W; Behrens, Georg; Coon, Joshua J; Dakna, Mohammed; Decramer, Stéphane; Delles, Christian; Dominiczak, Anna F; Ehrich, Jochen H H; Eitner, Frank; Fliser, Danilo; Frommberger, Moritz; Ganser, Arnold; Girolami, Mark A; Golovko, Igor; Gwinner, Wilfried; Haubitz, Marion; Herget-Rosenthal, Stefan; Jankowski, Joachim; Jahn, Holger; Jerums, George; Julian, Bruce A; Kellmann, Markus; Kliem, Volker; Kolch, Walter; Krolewski, Andrzej S; Luppi, Mario; Massy, Ziad; Melter, Michael; Neusüss, Christian; Novak, Jan; Peter, Karlheinz; Rossing, Kasper; Rupprecht, Harald; Schanstra, Joost P; Schiffer, Eric; Stolzenburg, Jens-Uwe; Tarnow, Lise; Theodorescu, Dan; Thongboonkerd, Visith; Vanholder, Raymond; Weissinger, Eva M; Mischak, Harald; Schmitt-Kopplin, Philippe.
in: MOL CELL PROTEOMICS, Jahrgang 9, Nr. 11, 11, 2010, S. 2424-2437.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.
AU - Good, David M
AU - Zürbig, Petra
AU - Argilés, Angel
AU - Bauer, Hartwig W
AU - Behrens, Georg
AU - Coon, Joshua J
AU - Dakna, Mohammed
AU - Decramer, Stéphane
AU - Delles, Christian
AU - Dominiczak, Anna F
AU - Ehrich, Jochen H H
AU - Eitner, Frank
AU - Fliser, Danilo
AU - Frommberger, Moritz
AU - Ganser, Arnold
AU - Girolami, Mark A
AU - Golovko, Igor
AU - Gwinner, Wilfried
AU - Haubitz, Marion
AU - Herget-Rosenthal, Stefan
AU - Jankowski, Joachim
AU - Jahn, Holger
AU - Jerums, George
AU - Julian, Bruce A
AU - Kellmann, Markus
AU - Kliem, Volker
AU - Kolch, Walter
AU - Krolewski, Andrzej S
AU - Luppi, Mario
AU - Massy, Ziad
AU - Melter, Michael
AU - Neusüss, Christian
AU - Novak, Jan
AU - Peter, Karlheinz
AU - Rossing, Kasper
AU - Rupprecht, Harald
AU - Schanstra, Joost P
AU - Schiffer, Eric
AU - Stolzenburg, Jens-Uwe
AU - Tarnow, Lise
AU - Theodorescu, Dan
AU - Thongboonkerd, Visith
AU - Vanholder, Raymond
AU - Weissinger, Eva M
AU - Mischak, Harald
AU - Schmitt-Kopplin, Philippe
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
M3 - SCORING: Zeitschriftenaufsatz
VL - 9
SP - 2424
EP - 2437
JO - MOL CELL PROTEOMICS
JF - MOL CELL PROTEOMICS
SN - 1535-9476
IS - 11
M1 - 11
ER -