Literature DB >> 16550189

Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis.

Stephane Decramer1, Stefan Wittke, Harald Mischak, Petra Zürbig, Michael Walden, François Bouissou, Jean-Loup Bascands, Joost P Schanstra.   

Abstract

We analyzed urinary polypeptides from individuals with neonatal ureteropelvic junction (UPJ) obstruction to predict which individuals with this condition will evolve toward obstruction that needs surgical correction. We identified polypeptides that enabled diagnosis of the severity of obstruction and validated these biomarkers in urine collected in a prospective blinded study. Using these noninvasive biomarkers, we were able to predict, several months in advance and with 94% precision, the clinical evolution of neonates with UPJ obstruction.

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Year:  2006        PMID: 16550189     DOI: 10.1038/nm1384

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  77 in total

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3.  High-resolution proteome/peptidome analysis of peptides and low-molecular-weight proteins in urine.

Authors:  Harald Mischak; Bruce A Julian; Jan Novak
Journal:  Proteomics Clin Appl       Date:  2007-07-10       Impact factor: 3.494

4.  Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in anti-neutrophil cytoplasmic antibody-associated vasculitis.

Authors:  Marion Haubitz; David M Good; Alexander Woywodt; Hermann Haller; Harald Rupprecht; Dan Theodorescu; Mohammed Dakna; Joshua J Coon; Harald Mischak
Journal:  Mol Cell Proteomics       Date:  2009-06-28       Impact factor: 5.911

5.  The human urinary proteome reveals high similarity between kidney aging and chronic kidney disease.

Authors:  Petra Zürbig; Stéphane Decramer; Mohammed Dakna; Justyna Jantos; David M Good; Joshua J Coon; Flavio Bandin; Harald Mischak; Jean-Loup Bascands; Joost P Schanstra
Journal:  Proteomics       Date:  2009-04       Impact factor: 3.984

Review 6.  Advances in urinary proteome analysis and biomarker discovery in pediatric renal disease.

Authors:  Cécile Caubet; Chrystelle Lacroix; Stéphane Decramer; Jens Drube; Jochen H H Ehrich; Harald Mischak; Jean-Loup Bascands; Joost P Schanstra
Journal:  Pediatr Nephrol       Date:  2009-07-15       Impact factor: 3.714

7.  Application of Proteomic Analysis to Renal Disease in the Clinic.

Authors:  Bruce A Julian; Hitoshi Suzuki; Goce Spasovski; Yusuke Suzuki; Yasuhiko Tomino; Jan Novak
Journal:  Proteomics Clin Appl       Date:  2009-01-01       Impact factor: 3.494

8.  Protein Bioinformatics Infrastructure for the Integration and Analysis of Multiple High-Throughput "omics" Data.

Authors:  Chuming Chen; Peter B McGarvey; Hongzhan Huang; Cathy H Wu
Journal:  Adv Bioinformatics       Date:  2010-03-29

9.  Urinary collagen fragments are significantly altered in diabetes: a link to pathophysiology.

Authors:  David M Maahs; Justyna Siwy; Angel Argilés; Marie Cerna; Christian Delles; Anna F Dominiczak; Nathalie Gayrard; Alexander Iphöfer; Lothar Jänsch; George Jerums; Karel Medek; Harald Mischak; Gerjan J Navis; Johannes M Roob; Kasper Rossing; Peter Rossing; Ivan Rychlík; Eric Schiffer; Roland E Schmieder; Thomas C Wascher; Brigitte M Winklhofer-Roob; Lukas U Zimmerli; Petra Zürbig; Janet K Snell-Bergeon
Journal:  PLoS One       Date:  2010-09-28       Impact factor: 3.240

10.  Network-assisted protein identification and data interpretation in shotgun proteomics.

Authors:  Jing Li; Lisa J Zimmerman; Byung-Hoon Park; David L Tabb; Daniel C Liebler; Bing Zhang
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

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