Literature DB >> 19340089

Identification of a unique urinary biomarker profile in patients with autosomal dominant polycystic kidney disease.

Andreas D Kistler1, Harald Mischak, Diane Poster, Mohammed Dakna, Rudolf P Wüthrich, Andreas L Serra.   

Abstract

To gain some insight into early disease progression in human autosomal dominant polycystic kidney disease (ADPKD), we analyzed the urine proteome of 41 young patients with ADPKD whose renal function was relatively preserved. Using capillary electrophoresis and mass spectrometry, we compared these results to those from age-matched healthy controls and patients with other renal diseases. There were 197 proteins with significantly altered urinary excretion; and 38 of them could be sequenced, most of which were collagen fragments. This suggests that there is high turnover of extracellular matrix proteins. Uromodulin peptides, previously implicated in tubular injury, were also found in the urine specimens. These marker proteins were found to distinguish patients from controls with a high degree of accuracy. The sensitivity and specificity of this marker set remained high in an independent validation cohort of 24 patients with ADPKD and 35 healthy controls, and even in comparisons of patients with a variety of other renal diseases or patients with kidney or bladder cancer. These findings present a potential hypothesis for the mechanisms of disease progression in ADPKD which will need to be confirmed by further studies.

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Year:  2009        PMID: 19340089     DOI: 10.1038/ki.2009.93

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  22 in total

Review 1.  Systems biology of polycystic kidney disease: a critical review.

Authors:  Luis Fernando Menezes; Gregory G Germino
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-02-02

Review 2.  Proteomic biomarkers in kidney disease: issues in development and implementation.

Authors:  Harald Mischak; Christian Delles; Antonia Vlahou; Raymond Vanholder
Journal:  Nat Rev Nephrol       Date:  2015-02-03       Impact factor: 28.314

Review 3.  Application of proteomic analysis to the study of renal diseases.

Authors:  Matthew P Welberry Smith; Rosamonde E Banks; Steven L Wood; Andrew J P Lewington; Peter J Selby
Journal:  Nat Rev Nephrol       Date:  2009-10-27       Impact factor: 28.314

4.  An empirical assessment of validation practices for molecular classifiers.

Authors:  Peter J Castaldi; Issa J Dahabreh; John P A Ioannidis
Journal:  Brief Bioinform       Date:  2011-02-07       Impact factor: 11.622

Review 5.  Fibrosis and progression of autosomal dominant polycystic kidney disease (ADPKD).

Authors:  Jill Norman
Journal:  Biochim Biophys Acta       Date:  2011-07-01

6.  Comprehensive human urine standards for comparability and standardization in clinical proteome analysis.

Authors:  Harald Mischak; Walter Kolch; Michalis Aivaliotis; David Bouyssié; Magali Court; Hassan Dihazi; Gry H Dihazi; Julia Franke; Jérôme Garin; Anne Gonzalez de Peredo; Alexander Iphöfer; Lothar Jänsch; Chrystelle Lacroix; Manousos Makridakis; Christophe Masselon; Jochen Metzger; Bernard Monsarrat; Michal Mrug; Martin Norling; Jan Novak; Andreas Pich; Andrew Pitt; Erik Bongcam-Rudloff; Justyna Siwy; Hitoshi Suzuki; Visith Thongboonkerd; Li-Shun Wang; Jérôme Zoidakis; Petra Zürbig; Joost P Schanstra; Antonia Vlahou
Journal:  Proteomics Clin Appl       Date:  2010-02-03       Impact factor: 3.494

Review 7.  Uromodulin: from physiology to rare and complex kidney disorders.

Authors:  Olivier Devuyst; Eric Olinger; Luca Rampoldi
Journal:  Nat Rev Nephrol       Date:  2017-08-07       Impact factor: 28.314

8.  Renal CD14 expression correlates with the progression of cystic kidney disease.

Authors:  Juling Zhou; Xiaosen Ouyang; Xiangqin Cui; Trenton R Schoeb; Lesley E Smythies; Martin R Johnson; Lisa M Guay-Woodford; Arlene B Chapman; Michal Mrug
Journal:  Kidney Int       Date:  2010-06-16       Impact factor: 10.612

Review 9.  Dangers within: DAMP responses to damage and cell death in kidney disease.

Authors:  Diane L Rosin; Mark D Okusa
Journal:  J Am Soc Nephrol       Date:  2011-02-18       Impact factor: 10.121

10.  Urinary proteome analysis enables assessment of renoprotective treatment in type 2 diabetic patients with microalbuminuria.

Authors:  Sten Andersen; Harald Mischak; Petra Zürbig; Hans-Henrik Parving; Peter Rossing
Journal:  BMC Nephrol       Date:  2010-11-01       Impact factor: 2.388

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