Literature DB >> 25643662

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

Harald Mischak1, Christian Delles1, Antonia Vlahou2, Raymond Vanholder3.   

Abstract

Proteomic biomarkers offer the hope of improving the management of patients with kidney diseases by enabling more accurate and earlier detection of renal pathology than is possible with currently available biomarkers, serum creatinine and urinary albumin. In addition, proteomic biomarkers could also be useful to define the most suitable therapeutic targets in a given patient or disease setting. This Review describes the current status of proteomic and protein biomarkers in the context of kidney diseases. The valuable lessons learned from early clinical studies of potential proteomic biomarkers in kidney disease are presented to give context to the newly identified biomarkers, which have potential for actual clinical implementation. This article also includes an overview of protein-based biomarker candidates that are undergoing development for use in nephrology, focusing on those with the greatest potential for clinical implementation. Relevant issues and problems associated with the discovery, validation and clinical application of proteomic biomarkers are discussed, along with suggestions for solutions that might help to guide the design of future proteomic studies. These improvements might remove some of the current obstacles to the utilization of proteomic biomarkers, with potentially beneficial results.

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Year:  2015        PMID: 25643662     DOI: 10.1038/nrneph.2014.247

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  132 in total

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3.  Circulating α-klotho levels in CKD and relationship to progression.

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Journal:  Am J Kidney Dis       Date:  2013-03-27       Impact factor: 8.860

4.  Day-to-day variability in spot urine albumin-creatinine ratio.

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Journal:  Am J Kidney Dis       Date:  2013-08-16       Impact factor: 8.860

5.  Regression of microalbuminuria in type 1 diabetes is associated with lower levels of urinary tubular injury biomarkers, kidney injury molecule-1, and N-acetyl-β-D-glucosaminidase.

Authors:  Vishal S Vaidya; Monika A Niewczas; Linda H Ficociello; Amanda C Johnson; Fitz B Collings; James H Warram; Andrzej S Krolewski; Joseph V Bonventre
Journal:  Kidney Int       Date:  2010-10-27       Impact factor: 10.612

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Journal:  Mass Spectrom Rev       Date:  2005 Nov-Dec       Impact factor: 10.946

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9.  Association of serum concentration of TNFR1 with all-cause mortality in patients with type 2 diabetes and chronic kidney disease: follow-up of the SURDIAGENE Cohort.

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Journal:  Diabetes Care       Date:  2014-03-12       Impact factor: 19.112

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Journal:  J Proteomics       Date:  2012-07-26       Impact factor: 4.044

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  36 in total

Review 1.  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

Review 2.  Developing proteomic biomarkers for bladder cancer: towards clinical application.

Authors:  Maria Frantzi; Agnieszka Latosinska; Leif Flühe; Marie C Hupe; Elena Critselis; Mario W Kramer; Axel S Merseburger; Harald Mischak; Antonia Vlahou
Journal:  Nat Rev Urol       Date:  2015-05-26       Impact factor: 14.432

3.  Quantification of Inflammasome Adaptor Protein ASC in Biological Samples by Multiple-Reaction Monitoring Mass Spectrometry.

Authors:  Annegret Ulke-Lemée; Arthur Lau; Michelle C Nelson; Matthew T James; Daniel A Muruve; Justin A MacDonald
Journal:  Inflammation       Date:  2018-08       Impact factor: 4.092

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

Review 5.  Current state of the art for enhancing urine biomarker discovery.

Authors:  Michael Harpole; Justin Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

Review 6.  Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases.

Authors:  Pedro Magalhães; Harald Mischak; Petra Zürbig
Journal:  Curr Opin Nephrol Hypertens       Date:  2016-11       Impact factor: 2.894

7.  Inflammatory proteins in diabetic kidney disease-potential as biomarkers and therapeutic targets.

Authors:  Angie S Xiang; Elif I Ekinci; Richard J MacIsaac
Journal:  Ann Transl Med       Date:  2019-09

8.  Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer.

Authors:  Jan Muntel; Yue Xuan; Sebastian T Berger; Lukas Reiter; Richard Bachur; Alex Kentsis; Hanno Steen
Journal:  J Proteome Res       Date:  2015-10-22       Impact factor: 4.466

9.  Serum levels of WNT1-inducible signaling pathway protein-1 (WISP-1): a noninvasive biomarker of renal fibrosis in subjects with chronic kidney disease.

Authors:  Xiang Zhong; Yue Ju Tu; Yi Li; Ping Zhang; Wei Wang; Sha Sha Chen; Li Li; Arthur Ck Chung; Hui Yao Lan; Hai Yong Chen; Gui Sen Li; Li Wang
Journal:  Am J Transl Res       Date:  2017-06-15       Impact factor: 4.060

Review 10.  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

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