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

David M Good; Petra Zürbig; Angel Argilés; Hartwig W Bauer; Georg Behrens; Joshua J Coon; Mohammed Dakna; Stéphane Decramer; Christian Delles; Anna F Dominiczak; Jochen H H Ehrich; Frank Eitner; Danilo Fliser; Moritz Frommberger; Arnold Ganser; Mark A Girolami; Igor Golovko; Wilfried Gwinner; Marion Haubitz; Stefan Herget-Rosenthal; Joachim Jankowski; Holger Jahn; George Jerums; Bruce A Julian; Markus Kellmann; Volker Kliem; Walter Kolch; Andrzej S Krolewski; Mario Luppi; Ziad Massy; Michael Melter; Christian Neusüss; Jan Novak; Karlheinz Peter; Kasper Rossing; Harald Rupprecht; Joost P Schanstra; Eric Schiffer; Jens-Uwe Stolzenburg; Lise Tarnow; Dan Theodorescu; Visith Thongboonkerd; Raymond Vanholder; Eva M Weissinger; Harald Mischak; Philippe Schmitt-Kopplin

doi:10.1074/mcp.M110.001917

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

David M Good, Petra Zürbig, Angel Argilés, Hartwig W Bauer, Georg Behrens, Joshua J Coon, Mohammed Dakna, Stéphane Decramer, Christian Delles, Anna F Dominiczak, Jochen H H Ehrich, Frank Eitner, Danilo Fliser, Moritz Frommberger, Arnold Ganser, Mark A Girolami, Igor Golovko, Wilfried Gwinner, Marion Haubitz, Stefan Herget-RosenthalJoachim Jankowski, Holger Jahn, George Jerums, Bruce A Julian, Markus Kellmann, Volker Kliem, Walter Kolch, Andrzej S Krolewski, Mario Luppi, Ziad Massy, Michael Melter, Christian Neusüss, Jan Novak, Karlheinz Peter, Kasper Rossing, Harald Rupprecht, Joost P Schanstra, Eric Schiffer, Jens-Uwe Stolzenburg, Lise Tarnow, Dan Theodorescu, Visith Thongboonkerd, Raymond Vanholder, Eva M Weissinger, Harald Mischak, Philippe Schmitt-Kopplin

459 Citations (Scopus)

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.

Original language	English
Journal	Molecular & Cellular Proteomics
Volume	9
Issue number	11
Pages (from-to)	2424-37
Number of pages	14
ISSN	1535-9484
DOIs	https://doi.org/10.1074/mcp.M110.001917
Publication status	Published - Nov 2010
Externally published	Yes

Keywords

Adult
Aged
Biological Markers
Databases, Factual
Electrophoresis, Capillary
Female
Humans
Kidney Failure, Chronic
Male
Mass Spectrometry
Middle Aged
Peptides
Proteomics
ROC Curve
Young Adult

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10.1074/mcp.M110.001917

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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. 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. Molecular & Cellular Proteomics, 9(11), 2424-37. https://doi.org/10.1074/mcp.M110.001917

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', Molecular & Cellular Proteomics, vol. 9, no. 11, pp. 2424-37. https://doi.org/10.1074/mcp.M110.001917

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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.",

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doi = "10.1074/mcp.M110.001917",

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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 - 2010/11

Y1 - 2010/11

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.

KW - Adult

KW - Aged

KW - Biological Markers

KW - Databases, Factual

KW - Electrophoresis, Capillary

KW - Female

KW - Humans

KW - Kidney Failure, Chronic

KW - Male

KW - Mass Spectrometry

KW - Middle Aged

KW - Peptides

KW - Proteomics

KW - ROC Curve

KW - Young Adult

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U2 - 10.1074/mcp.M110.001917

DO - 10.1074/mcp.M110.001917

M3 - Journal article

C2 - 20616184

SN - 1535-9484

VL - 9

SP - 2424

EP - 2437

JO - Molecular & Cellular Proteomics

JF - Molecular & Cellular Proteomics

IS - 11

ER -

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

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Keywords

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