Literature DB >> 24633400

Proteomic urinary biomarker approach in renal disease: from discovery to implementation.

Joost P Schanstra1, Harald Mischak.   

Abstract

Biomarkers hold the promise of significantly improving health care by enabling prognosis and diagnosis with improved accuracy, and at earlier points in time. Previous results have indicated that single biomarkers are not suitable to describe complex diseases such as kidney disease. Here we provide an update on the progress of urinary proteomics-based studies and strategies to develop biomarker-based classifiers that tolerate instability and inconsistency of individual biomarkers. The examples focus on two major fields in nephrology: chronic kidney disease in the adult population and obstructive nephropathies in the pediatric population. When employed adequately, urinary proteomics demonstrates a clear value in kidney disease, indicating that the current status quo ruling for decades now could be changed by applying modern "omics" approaches. However, while research is able to deliver these useful tools for patient management, the issues associated with implementation are not yet solved. Active engagement of the relevant clinical professional societies, as well as patient's organizations, might help to implement these omics approaches that have shown a clear benefit for the patient.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24633400     DOI: 10.1007/s00467-014-2790-y

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  76 in total

Review 1.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 2.  Determinants of renal disease variability in ADPKD.

Authors:  Peter C Harris; Sandro Rossetti
Journal:  Adv Chronic Kidney Dis       Date:  2010-03       Impact factor: 3.620

3.  Urinary proteomic biomarkers in coronary artery disease.

Authors:  Lukas U Zimmerli; Eric Schiffer; Petra Zürbig; David M Good; Markus Kellmann; Laetitia Mouls; Andrew R Pitt; Joshua J Coon; Roland E Schmieder; Karlheinz H Peter; Harald Mischak; Walter Kolch; Christian Delles; Anna F Dominiczak
Journal:  Mol Cell Proteomics       Date:  2007-10-19       Impact factor: 5.911

4.  Calcineurin is required in urinary tract mesenchyme for the development of the pyeloureteral peristaltic machinery.

Authors:  Ching-Pin Chang; Bradley W McDill; Joel R Neilson; Heidi E Joist; Jonathan A Epstein; Gerald R Crabtree; Feng Chen
Journal:  J Clin Invest       Date:  2004-04       Impact factor: 14.808

5.  In patients with type 1 diabetes and new-onset microalbuminuria the development of advanced chronic kidney disease may not require progression to proteinuria.

Authors:  Bruce A Perkins; Linda H Ficociello; Bijan Roshan; James H Warram; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2010-01       Impact factor: 10.612

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

Authors:  Stephane Decramer; Stefan Wittke; Harald Mischak; Petra Zürbig; Michael Walden; François Bouissou; Jean-Loup Bascands; Joost P Schanstra
Journal:  Nat Med       Date:  2006-03-19       Impact factor: 53.440

7.  Fetal urinary peptides to predict postnatal outcome of renal disease in fetuses with posterior urethral valves (PUV).

Authors:  Julie Klein; Chrystelle Lacroix; Cécile Caubet; Justyna Siwy; Petra Zürbig; Mohammed Dakna; Françoise Muller; Benjamin Breuil; Angelique Stalmach; William Mullen; Harald Mischak; Flavio Bandin; Bernard Monsarrat; Jean-Loup Bascands; Stéphane Decramer; Joost P Schanstra
Journal:  Sci Transl Med       Date:  2013-08-14       Impact factor: 17.956

8.  A comparison between MALDI-MS and CE-MS data for biomarker assessment in chronic kidney diseases.

Authors:  L Molin; R Seraglia; A Lapolla; E Ragazzi; J Gonzalez; A Vlahou; J P Schanstra; A Albalat; M Dakna; J Siwy; J Jankowski; V Bitsika; H Mischak; P Zürbig; P Traldi
Journal:  J Proteomics       Date:  2012-07-26       Impact factor: 4.044

9.  NGAL (Lcn2) monomer is associated with tubulointerstitial damage in chronic kidney disease.

Authors:  Thomas L Nickolas; Catherine S Forster; Meghan E Sise; Nicholas Barasch; David Solá-Del Valle; Melanie Viltard; Charles Buchen; Shlomo Kupferman; Maria Luisa Carnevali; Michael Bennett; Silvia Mattei; Achiropita Bovino; Lucia Argentiero; Andrea Magnano; Prasad Devarajan; Kiyoshi Mori; Hediye Erdjument-Bromage; Paul Tempst; Landino Allegri; Jonathan Barasch
Journal:  Kidney Int       Date:  2012-06-13       Impact factor: 10.612

10.  CKD273, a new proteomics classifier assessing CKD and its prognosis.

Authors:  Ángel Argilés; Justyna Siwy; Flore Duranton; Nathalie Gayrard; Mohammed Dakna; Ulrika Lundin; Lourdes Osaba; Christian Delles; Georges Mourad; Klaus M Weinberger; Harald Mischak
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

View more
  16 in total

1.  Urinary Urea, Uric Acid and Hippuric Acid as Potential Biomarkers in Multiple Sclerosis Patients.

Authors:  Hanaa B Atya; Sahar A Ali; Mohamed I Hegazy; Fathia Z El Sharkawi
Journal:  Indian J Clin Biochem       Date:  2017-05-22

Review 2.  Urinary biomarkers for renal tract malformations.

Authors:  Pedro Magalhães; Joost P Schanstra; Emma Carrick; Harald Mischak; Petra Zürbig
Journal:  Expert Rev Proteomics       Date:  2016-11-15       Impact factor: 3.940

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

Authors:  Bénédicte Buffin-Meyer; Marcin Tkaczyk; Małgorzata Stańczyk; Benjamin Breuil; Justyna Siwy; Krzysztof Szaflik; Tomasz Talar; Justyna Wojtera; Waldemar Krzeszowski; Stéphane Decramer; Julie Klein; Joost P Schanstra
Journal:  Pediatr Nephrol       Date:  2019-11-07       Impact factor: 3.714

Review 4.  The nephrologist of tomorrow: towards a kidney-omic future.

Authors:  Mina H Hanna; Alessandra Dalla Gassa; Gert Mayer; Gianluigi Zaza; Patrick D Brophy; Loreto Gesualdo; Francesco Pesce
Journal:  Pediatr Nephrol       Date:  2016-03-09       Impact factor: 3.714

5.  Causal Genetic Inference Using Haplotypes as Instrumental Variables.

Authors:  Fan Wang; Nuala J Meyer; Keith R Walley; James A Russell; Rui Feng
Journal:  Genet Epidemiol       Date:  2015-12-01       Impact factor: 2.135

Review 6.  Techniques and Approaches to Genetic Analyses in Nephrological Disorders.

Authors:  Laurel K Willig
Journal:  J Pediatr Genet       Date:  2015-08-13

Review 7.  Urinary Biomarkers of Brain Diseases.

Authors:  Manxia An; Youhe Gao
Journal:  Genomics Proteomics Bioinformatics       Date:  2016-01-02       Impact factor: 7.691

8.  Does urinary peptide content differ between COPD patients with and without inherited alpha-1 antitrypsin deficiency?

Authors:  Alfonso Carleo; Joanna Chorostowska-Wynimko; Thomas Koeck; Harald Mischak; Małgorzata Czajkowska-Malinowska; Adriana Rozy; Tobias Welte; Sabina Janciauskiene
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-03-08

9.  Identification of Symptomatic Fetuses Infected with Cytomegalovirus Using Amniotic Fluid Peptide Biomarkers.

Authors:  Cyrille Desveaux; Julie Klein; Marianne Leruez-Ville; Adela Ramirez-Torres; Chrystelle Lacroix; Benjamin Breuil; Carine Froment; Jean-Loup Bascands; Joost P Schanstra; Yves Ville
Journal:  PLoS Pathog       Date:  2016-01-25       Impact factor: 6.823

10.  Effects of arginine vasopressin on the urine proteome in rats.

Authors:  Manxia An; Yanying Ni; Xundou Li; Youhe Gao
Journal:  PeerJ       Date:  2017-05-23       Impact factor: 2.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.