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

(2010) MOLECULAR & CELLULAR PROTEOMICS. 9(11). p.2424-2437
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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.
Keywords
ELECTRON-TRANSFER DISSOCIATION, SUPPORT VECTOR MACHINES, RESOLUTION PROTEOME/PEPTIDOME ANALYSIS, TAMM-HORSFALL PROTEIN, MASS-SPECTROMETRY, CAPILLARY-ELECTROPHORESIS, BIOMARKER DISCOVERY, PROTEOMIC ANALYSIS, 2-DIMENSIONAL ELECTROPHORESIS, SEQUENCE-ANALYSIS

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Citation

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MLA
Good, David M, Petra Zürbig, Àngel Argilés, et al. “Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease.” MOLECULAR & CELLULAR PROTEOMICS 9.11 (2010): 2424–2437. Print.
APA
Good, D. M., Zürbig, P., Argilés, À., Bauer, H. W., Behrens, G., Coon, J. J., Dakna, M., et al. (2010). Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. MOLECULAR & CELLULAR PROTEOMICS, 9(11), 2424–2437.
Chicago author-date
Good, David M, Petra Zürbig, Àngel Argilés, Hartwig W Bauer, Georg Behrens, Joshua J Coon, Mohammed Dakna, et al. 2010. “Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease.” Molecular & Cellular Proteomics 9 (11): 2424–2437.
Chicago author-date (all authors)
Good, David M, Petra Zürbig, Àngel Argilés, Hartwig W Bauer, Georg Behrens, Joshua J Coon, Mohammed Dakna, Stéphane Decramer, Christian Delles, Anna F Dominiczak, Jochen HH 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, and Philippe Schmitt-Kopplin. 2010. “Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease.” Molecular & Cellular Proteomics 9 (11): 2424–2437.
Vancouver
1.
Good DM, Zürbig P, Argilés À, Bauer HW, Behrens G, Coon JJ, et al. Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. MOLECULAR & CELLULAR PROTEOMICS. 2010;9(11):2424–37.
IEEE
[1]
D. M. Good et al., “Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease,” MOLECULAR & CELLULAR PROTEOMICS, vol. 9, no. 11, pp. 2424–2437, 2010.
@article{4263138,
  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 Zürbig, Petra and Argilés, Àngel and Bauer, Hartwig W and Behrens, Georg and Coon, Joshua J and Dakna, Mohammed and Decramer, Stéphane and Delles, Christian and Dominiczak, Anna F and Ehrich, Jochen HH and Eitner, Frank and Fliser, Danilo and Frommberger, Moritz and Ganser, Arnold and Girolami, Mark A and Golovko, Igor and Gwinner, Wilfried and Haubitz, Marion and Herget-Rosenthal, Stefan and Jankowski, Joachim and Jahn, Holger and Jerums, George and Julian, Bruce A and Kellmann, Markus and Kliem, Volker and Kolch, Walter and Krolewski, Andrzej S and Luppi, Mario and Massy, Ziad and Melter, Michael and Neusüss, Christian and Novak, Jan and Peter, Karlheinz and Rossing, Kasper and Rupprecht, Harald and Schanstra, Joost P and Schiffer, Eric and Stolzenburg, Jens-Uwe and Tarnow, Lise and Theodorescu, Dan and Thongboonkerd, Visith and Vanholder, Raymond and Weissinger, Eva M and Mischak, Harald and Schmitt-Kopplin, Philippe},
  issn         = {1535-9476},
  journal      = {MOLECULAR & CELLULAR PROTEOMICS},
  keywords     = {ELECTRON-TRANSFER DISSOCIATION,SUPPORT VECTOR MACHINES,RESOLUTION PROTEOME/PEPTIDOME ANALYSIS,TAMM-HORSFALL PROTEIN,MASS-SPECTROMETRY,CAPILLARY-ELECTROPHORESIS,BIOMARKER DISCOVERY,PROTEOMIC ANALYSIS,2-DIMENSIONAL ELECTROPHORESIS,SEQUENCE-ANALYSIS},
  language     = {eng},
  number       = {11},
  pages        = {2424--2437},
  title        = {Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease},
  url          = {http://dx.doi.org/10.1074/mcp.M110.001917},
  volume       = {9},
  year         = {2010},
}

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