Literature DB >> 21538916

Proteomics in chronic kidney disease: The issues clinical nephrologists need an answer for.

Goce Spasovski1, Alberto Ortiz, Raymond Vanholder, Meguid El Nahas.   

Abstract

A growing number of patients are recognised to have chronic kidney disease (CKD). However, only a minority will progress to end-stage renal disease requiring dialysis or transplantation. Currently available diagnostic and staging tools frequently fail to identify those at higher risk of progression or death. Furthermore within specific disease entities there are shortcomings in the prediction of the need for therapeutic interventions or the response to different forms of therapy. Kidney and urine proteomic biomarkers are considered as promising diagnostic tools to predict CKD progression early in diabetic nephropathy, facilitating timely and selective intervention that may reduce the related health-care expenditures. However, independent groups have not validated these findings and the technique is not currently available for routine clinical care. Furthermore, there are gaps in our understanding of predictors of progression or need for therapy in non-diabetic CKD. Presumably, a combination of tissue and urine biomarkers will be more informative than individual markers. This review identifies clinical questions in need of an answer, summarises current information on proteomic biomarkers and CKD, and describes the European Kidney and Urine Proteomics initiative that has been launched to carry out a clinical study aimed at identifying urinary proteomic biomarkers distinguishing between fast and slow progressors among patients with biopsy-proven primary glomerulopathies.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21538916     DOI: 10.1002/prca.201000150

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  6 in total

1.  Integrative biology identifies shared transcriptional networks in CKD.

Authors:  Sebastian Martini; Viji Nair; Benjamin J Keller; Felix Eichinger; Jennifer J Hawkins; Ann Randolph; Carsten A Böger; Crystal A Gadegbeku; Caroline S Fox; Clemens D Cohen; Matthias Kretzler
Journal:  J Am Soc Nephrol       Date:  2014-06-12       Impact factor: 10.121

2.  Urine Proteomics Reveals Sex-Specific Response to Total Pancreatectomy With Islet Autotransplantation.

Authors:  Tue Bjerg Bennike; Kate Templeton; Kimino Fujimura; Melena D Bellin; Saima Ahmed; Christoph N Schlaffner; Rohit Arora; Zobeida Cruz-Monserrate; Ramy Arnaout; Gregory J Beilman; Amit S Grover; Darwin L Conwell; Hanno Steen
Journal:  Pancreas       Date:  2022-07-27       Impact factor: 3.243

Review 3.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

4.  Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides.

Authors:  Joost P Schanstra; Petra Zürbig; Alaa Alkhalaf; Angel Argiles; Stephan J L Bakker; Joachim Beige; Henk J G Bilo; Christos Chatzikyrkou; Mohammed Dakna; Jesse Dawson; Christian Delles; Hermann Haller; Marion Haubitz; Holger Husi; Joachim Jankowski; George Jerums; Nanne Kleefstra; Tatiana Kuznetsova; David M Maahs; Jan Menne; William Mullen; Alberto Ortiz; Frederik Persson; Peter Rossing; Piero Ruggenenti; Ivan Rychlik; Andreas L Serra; Justyna Siwy; Janet Snell-Bergeon; Goce Spasovski; Jan A Staessen; Antonia Vlahou; Harald Mischak; Raymond Vanholder
Journal:  J Am Soc Nephrol       Date:  2015-01-14       Impact factor: 10.121

5.  Implementation of proteomic biomarkers: making it work.

Authors:  Harald Mischak; John P A Ioannidis; Angel Argiles; Teresa K Attwood; Erik Bongcam-Rudloff; Mark Broenstrup; Aristidis Charonis; George P Chrousos; Christian Delles; Anna Dominiczak; Tomasz Dylag; Jochen Ehrich; Jesus Egido; Peter Findeisen; Joachim Jankowski; Robert W Johnson; Bruce A Julien; Tim Lankisch; Hing Y Leung; David Maahs; Fulvio Magni; Michael P Manns; Efthymios Manolis; Gert Mayer; Gerjan Navis; Jan Novak; Alberto Ortiz; Frederik Persson; Karlheinz Peter; Hans H Riese; Peter Rossing; Naveed Sattar; Goce Spasovski; Visith Thongboonkerd; Raymond Vanholder; Joost P Schanstra; Antonia Vlahou
Journal:  Eur J Clin Invest       Date:  2012-04-21       Impact factor: 4.686

6.  A systematic review and participant-level meta-analysis found little association of retinal microvascular caliber with reduced kidney function.

Authors:  Weng Kit Lye; Euan Paterson; Christopher C Patterson; Alexander P Maxwell; Riswana Banu Binte Mohammed Abdul; E Shyong Tai; Ching Yu Cheng; Takamasa Kayama; Hidetoshi Yamashita; Mark Sarnak; Michael Shlipak; Kunihiro Matsushita; Unal Mutlu; Mohammad A Ikram; Caroline Klaver; Annette Kifley; Paul Mitchell; Chelsea Myers; Barbara E Klein; Ronald Klein; Tien Y Wong; Charumathi Sabanayagam; Gareth J McKay
Journal:  Kidney Int       Date:  2020-08-15       Impact factor: 10.612

  6 in total

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