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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, Vol. 9, No. 11, 11, 2010, p. 2424-2437.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Good, DM, Zürbig, P, Argilés, A, Bauer, HW, Behrens, G, Coon, JJ, Dakna, M, Decramer, S, Delles, C, Dominiczak, AF, Ehrich, JHH, Eitner, F, Fliser, D, Frommberger, M, Ganser, A, Girolami, MA, Golovko, I, Gwinner, W, Haubitz, M, Herget-Rosenthal, S, Jankowski, J, Jahn, H, Jerums, G, Julian, BA, Kellmann, M, Kliem, V, Kolch, W, Krolewski, AS, Luppi, M, Massy, Z, Melter, M, Neusüss, C, Novak, J, Peter, K, Rossing, K, Rupprecht, H, Schanstra, JP, Schiffer, E, Stolzenburg, J-U, Tarnow, L, Theodorescu, D, Thongboonkerd, V, Vanholder, R, Weissinger, EM, Mischak, H & Schmitt-Kopplin, P 2010, 'Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.', MOL CELL PROTEOMICS, vol. 9, no. 11, 11, pp. 2424-2437. <http://www.ncbi.nlm.nih.gov/pubmed/20616184?dopt=Citation>

APA

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. H., Eitner, F., Fliser, D., Frommberger, M., Ganser, A., Girolami, M. A., Golovko, I., Gwinner, W., Haubitz, M., ... Schmitt-Kopplin, P. (2010). Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. MOL CELL PROTEOMICS, 9(11), 2424-2437. [11]. http://www.ncbi.nlm.nih.gov/pubmed/20616184?dopt=Citation

Vancouver

Good DM, Zürbig P, Argilés A, Bauer HW, Behrens G, Coon JJ et al. Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. MOL CELL PROTEOMICS. 2010;9(11):2424-2437. 11.

Bibtex

@article{564b5ad625c841efb86e419a45e4fa09,
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.",
author = "Good, {David M} and Petra Z{\"u}rbig and Angel Argil{\'e}s and Bauer, {Hartwig W} and Georg Behrens and Coon, {Joshua J} and Mohammed Dakna and St{\'e}phane Decramer and Christian Delles and Dominiczak, {Anna F} and Ehrich, {Jochen H H} and Frank Eitner and Danilo Fliser and Moritz Frommberger and Arnold Ganser and Girolami, {Mark A} and Igor Golovko and Wilfried Gwinner and Marion Haubitz and Stefan Herget-Rosenthal and Joachim Jankowski and Holger Jahn and George Jerums and Julian, {Bruce A} and Markus Kellmann and Volker Kliem and Walter Kolch and Krolewski, {Andrzej S} and Mario Luppi and Ziad Massy and Michael Melter and Christian Neus{\"u}ss and Jan Novak and Karlheinz Peter and Kasper Rossing and Harald Rupprecht and Schanstra, {Joost P} and Eric Schiffer and Jens-Uwe Stolzenburg and Lise Tarnow and Dan Theodorescu and Visith Thongboonkerd and Raymond Vanholder and Weissinger, {Eva M} and Harald Mischak and Philippe Schmitt-Kopplin",
year = "2010",
language = "Deutsch",
volume = "9",
pages = "2424--2437",
journal = "MOL CELL PROTEOMICS",
issn = "1535-9476",
publisher = "American Society for Biochemistry and Molecular Biology Inc.",
number = "11",

}

RIS

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 -