Literature DB >> 15669002

Renal and urinary proteomics: current applications and challenges.

Visith Thongboonkerd1, Prida Malasit.   

Abstract

During the past few years, proteomics has been extensively applied to various fields of medicine including nephrology. Current applications of renal and urinary proteomics are to better understand renal physiology, to explore the complexity of disease mechanisms, and to identify novel biomarkers and new therapeutic targets. This review provides some examples and perspectives of how proteomics can be applied to nephrology and how experimental data can be linked to physiology, functional significance and clinical applications. In some instances, proteomic analysis can be utilized to generate a new hypothesis from a set of candidates that are obtained from expression studies. The new hypothesis can then be addressed rapidly by conventional molecular biology methods, as demonstrated by identification of an altered renal elastin-elastase system in diabetic nephropathy and alterations in the renal kallikrein-kallistatin pathway in hypoxia-induced hypertension. The strengths and limitations of proteomics in renal research are summarized. Optimization of analytical protocols is required to overcome current limitations. Applications of proteomics to nephrology will then be more fruitful and successful.

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Year:  2005        PMID: 15669002     DOI: 10.1002/pmic.200401012

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  55 in total

Review 1.  The application of mass-spectrometry-based protein biomarker discovery to theragnostics.

Authors:  Jonathan M Street; James W Dear
Journal:  Br J Clin Pharmacol       Date:  2010-04       Impact factor: 4.335

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

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

Review 4.  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

5.  Identification of diagnostic urinary biomarkers for acute kidney injury.

Authors:  Sanju A Varghese; Thomas B Powell; Michael G Janech; Milos N Budisavljevic; Romesh C Stanislaus; Jonas S Almeida; John M Arthur
Journal:  J Investig Med       Date:  2010-04       Impact factor: 2.895

Review 6.  Proteomics and diabetic nephropathy: what have we learned from a decade of clinical proteomics studies?

Authors:  Massimo Papale; Salvatore Di Paolo; Grazia Vocino; Maria Teresa Rocchetti; Loreto Gesualdo
Journal:  J Nephrol       Date:  2014-02-25       Impact factor: 3.902

7.  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

8.  Purification of exosome-like vesicles from urine.

Authors:  Christopher Y Chen; Marie C Hogan; Christopher J Ward
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

Review 9.  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

10.  Microalbuminuria in type 1 diabetes is associated with enhanced excretion of the endocytic multiligand receptors megalin and cubilin.

Authors:  Kathryn M Thrailkill; Teresa Nimmo; R Clay Bunn; Gael E Cockrell; Cynthia S Moreau; Samuel Mackintosh; Ricky D Edmondson; John L Fowlkes
Journal:  Diabetes Care       Date:  2009-04-14       Impact factor: 17.152

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