Literature DB >> 26880450

The role of urinary peptidomics in kidney disease research.

Julie Klein1, Jean-Loup Bascands1, Harald Mischak2, Joost P Schanstra3.   

Abstract

Urinary peptidomics focuses on endogenous urinary peptide content. Many studies now show the usefulness of this approach for the discovery and validation of biomarkers in kidney diseases that are as varied as chronic kidney disease, acute kidney injury, congenital anomalies of the kidney and the urinary tract, and polycystic kidney disease. Most studies focus on chronic kidney disease and demonstrate that urinary peptidome analysis can substantially contribute to early detection and stratification of patients with chronic kidney disease. A number of multicenter studies are ongoing that aim further validation in a clinical setting and broaden the applicability of urinary peptides. The association of urinary peptides with kidney disease also starts to deliver information on the pathophysiology of kidney disease with emphasis on extracellular matrix remodeling. Bioinformatic peptide centric tools have been developed that allow to model the changes in protease activity involved in kidney disease, based on the urinary peptidome content. A novel application of urinary peptidome analysis is the back-translation of results obtained in humans to animals for animal model validation and improvement of readout in these preclinical models. In conclusion, urinary peptidomics not only contribute to detection and stratification of kidney disease in the clinic, but might also create a new impulse in drug discovery through better insight in the pathophysiology of disease and optimized translatability of animal models.
Copyright © 2016 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biomarkers; chronic kidney disease; pathophysiology; patient stratification; proteins and peptides; urine

Mesh:

Substances:

Year:  2016        PMID: 26880450     DOI: 10.1016/j.kint.2015.10.010

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


  21 in total

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2.  A single-center study to evaluate the efficacy of a fetal urine peptide signature predicting postnatal renal outcome in fetuses with posterior urethral valves.

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Journal:  Pediatr Nephrol       Date:  2019-11-07       Impact factor: 3.714

Review 3.  Emerging strategies to disrupt the central TGF-β axis in kidney fibrosis.

Authors:  Michael Rauchman; David Griggs
Journal:  Transl Res       Date:  2019-04-24       Impact factor: 7.012

4.  Association between syndecan-1 and renal function in adolescents with excess weight: evidence of subclinical kidney disease and endothelial dysfunction.

Authors:  Z M R M Saboia; G C Meneses; A M C Martins; E F Daher; G B Silva Junior
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Review 5.  How Omics Data Can Be Used in Nephrology.

Authors:  Eugene P Rhee
Journal:  Am J Kidney Dis       Date:  2018-02-23       Impact factor: 8.860

6.  Association of kidney fibrosis with urinary peptides: a path towards non-invasive liquid biopsies?

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Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

7.  A Urinary Fragment of Mucin-1 Subunit α Is a Novel Biomarker Associated With Renal Dysfunction in the General Population.

Authors:  Zhen-Yu Zhang; Susana Ravassa; Martin Pejchinovski; Wen-Yi Yang; Petra Zürbig; Begoña López; Fang-Fei Wei; Lutgarde Thijs; Lotte Jacobs; Arantxa González; Jens-Uwe Voigt; Peter Verhamme; Tatiana Kuznetsova; Javier Díez; Harald Mischak; Jan A Staessen
Journal:  Kidney Int Rep       Date:  2017-09

8.  Analysis of Urine Composition in Type II Diabetic Mice after Intervention Therapy Using Holothurian Polypeptides.

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Journal:  Front Chem       Date:  2017-07-26       Impact factor: 5.221

Review 9.  Mining the Biomarker Potential of the Urine Peptidome: From Amino Acids Properties to Proteases.

Authors:  Fábio Trindade; António S Barros; Jéssica Silva; Antonia Vlahou; Inês Falcão-Pires; Sofia Guedes; Carla Vitorino; Rita Ferreira; Adelino Leite-Moreira; Francisco Amado; Rui Vitorino
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

Review 10.  CE-MS for metabolomics: Developments and applications in the period 2014-2016.

Authors:  Rawi Ramautar; Govert W Somsen; Gerhardus J de Jong
Journal:  Electrophoresis       Date:  2016-10-31       Impact factor: 3.535

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