Literature DB >> 27658932

Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.

G Currie1, C Delles2.   

Abstract

The last decade has seen a surge in publications describing novel biomarkers for early detection of diabetic nephropathy (DN), but as yet none have outperformed albuminuria in well-designed prospective studies. This is partially attributable to our incomplete understanding of the many complex interrelated mechanisms underlying DN development, a heterogeneous process unlikely to be captured by a single biomarker. Proteomics offers the advantage of simultaneously analysing the entire protein content of a biological sample, and the technique has gained attention as a potential tool for a more accurate diagnosis of disease at an earlier stage as well as a means by which to unravel the pathogenesis of complex diseases such as DN using an untargeted approach. This review will discuss the potential of proteomics as both a clinical and research tool, evaluating exploratory work in animal models as well as diagnostic potential in human subjects.

Entities:  

Keywords:  Biomarkers; Diabetes; Nephropathy; Proteomics; Translational

Mesh:

Substances:

Year:  2016        PMID: 27658932     DOI: 10.1007/s11892-016-0798-3

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  89 in total

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4.  From proteins to proteomes: large scale protein identification by two-dimensional electrophoresis and amino acid analysis.

Authors:  M R Wilkins; C Pasquali; R D Appel; K Ou; O Golaz; J C Sanchez; J X Yan; A A Gooley; G Hughes; I Humphery-Smith; K L Williams; D F Hochstrasser
Journal:  Biotechnology (N Y)       Date:  1996-01

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Journal:  J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 10.121

6.  Analysis of urinary proteomic patterns for type 2 diabetic nephropathy by ProteinChip.

Authors:  Jing Wu; Yi-Ding Chen; Jie-Kai Yu; Xiao-Li Shi; Wei Gu
Journal:  Diabetes Res Clin Pract       Date:  2011-01-14       Impact factor: 5.602

7.  Urinary proteomics based on capillary electrophoresis coupled to mass spectrometry in kidney disease.

Authors:  Amaya Albalat; Julia Franke; Julien Gonzalez; Harald Mischak; Petra Zürbig
Journal:  Methods Mol Biol       Date:  2013

8.  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

9.  Low molecular weight proteins in urines from healthy subjects as well as diabetic, nephropathic and diabetic-nephropathic patients: a MALDI study.

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Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

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  7 in total

1.  Diabetic Nephropathy Assessment: Microtubule-Associated Protein 1 Light-Chain 3B a New Promising Biomarker.

Authors:  Magdy M Mohamed; Sanaa Eissa; Mona Mostafa; Marwa G A Hegazy
Journal:  Indian J Clin Biochem       Date:  2018-06-22

2.  Urinary Excretion of Kidney Aquaporins as Possible Diagnostic Biomarker of Diabetic Nephropathy.

Authors:  Luigi Rossi; Maria Celeste Nicoletti; Monica Carmosino; Lisa Mastrofrancesco; Antonella Di Franco; Francesca Indrio; Rossella Lella; Luigi Laviola; Francesco Giorgino; Maria Svelto; Loreto Gesualdo; Giuseppe Procino
Journal:  J Diabetes Res       Date:  2017-01-26       Impact factor: 4.011

3.  Addition of nonalbumin proteinuria to albuminuria improves prediction of type 2 diabetic nephropathy progression.

Authors:  Jong Ho Kim; Seo Young Oh; Eun Heui Kim; Min Jin Lee; Yun Kyung Jeon; Bo Hyun Kim; Jin Mi Kim; Yong Ki Kim; Sang Soo Kim; In Joo Kim
Journal:  Diabetol Metab Syndr       Date:  2017-09-06       Impact factor: 3.320

4.  Tangshen formula attenuates diabetic renal injuries by upregulating autophagy via inhibition of PLZF expression.

Authors:  Hailing Zhao; Xin Li; Tingting Zhao; Haojun Zhang; Meihua Yan; Xi Dong; Pengmin Chen; Liang Ma; Ping Li
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

5.  Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy.

Authors:  Hanyu Zhu; Moyan Liu; Hanjie Yu; Xiawei Liu; Yaogang Zhong; Jian Shu; Xinle Fu; Guangyan Cai; Xiangmei Chen; Wenjia Geng; Xiaoli Yang; Minghui Wu; Zheng Li; Dong Zhang
Journal:  J Diabetes Res       Date:  2017-03-19       Impact factor: 4.011

6.  Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction.

Authors:  Hee-Sung Ahn; Jong Ho Kim; Hwangkyo Jeong; Jiyoung Yu; Jeonghun Yeom; Sang Heon Song; Sang Soo Kim; In Joo Kim; Kyunggon Kim
Journal:  Int J Mol Sci       Date:  2020-06-14       Impact factor: 5.923

7.  Urinary complement proteins and risk of end-stage renal disease: quantitative urinary proteomics in patients with type 2 diabetes and biopsy-proven diabetic nephropathy.

Authors:  Y Zhang; H Yang; L Zhao; F Liu; Y Zhong; Y Wang; S Li; Q Su; L Tang; L Bai; H Ren; Y Zou; S Wang; S Zheng; H Xu; L Li; J Zhang; Z Chai; M E Cooper; N Tong
Journal:  J Endocrinol Invest       Date:  2021-05-27       Impact factor: 4.256

  7 in total

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