Literature DB >> 23485645

Diabetic nephropathy: traditional to proteomic markers.

Rafael N Moresco1, Manuela B Sangoi, José A M De Carvalho, Etiane Tatsch, Guilherme V Bochi.   

Abstract

Diabetic nephropathy (DN) is one of the major microvascular complications of diabetes and it is defined as a rise in the urinary albumin excretion (UAE) rate and abnormal renal function. Currently, changes in albuminuria are considered a hallmark of onset or progression of DN. However, some patients with diabetes have advanced renal pathological changes and progressive kidney function decline even if urinary albumin levels are in the normal range, indicating that albuminuria is not the perfect marker for the early detection of DN. The present article provides an overview of the literature reporting some relevant biomarkers that have been found to be associated with DN and that potentially may be used to predict the onset and/or monitor the progression of nephropathy. In particular, biomarkers of renal damage, inflammation, and oxidative stress may be useful tools for detection at an early stage or prediction of DN. Proteomic-based biomarker discovery represents a novel strategy to improve diagnosis, prognosis and treatment of DN; however, proteomics-based approaches are not yet available in most of the clinical chemistry laboratories. The use of a panel with a combination of biomarkers instead of urinary albumin alone seems to be an interesting approach for early detection of DN, including markers of glomerular damage (e.g., albumin), tubular damage (e.g., NAG and KIM-1), inflammation (e.g., TNF-α) and oxidative stress (e.g., 8-OHdG) because these mechanisms contribute to the development and outcomes of this disease.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23485645     DOI: 10.1016/j.cca.2013.02.019

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  30 in total

1.  Effect of strawberry (Fragaria × ananassa) leaf extract on diabetic nephropathy in rats.

Authors:  Doaa S Ibrahim; Marwa A E Abd El-Maksoud
Journal:  Int J Exp Pathol       Date:  2015-02-03       Impact factor: 1.925

2.  A study on the biological reference interval of urinary alpha 1-microglobulin in a group of Chinese people.

Authors:  Qian Zhang; Xu Jiang; Xiao-Fan Cui; Rui Liu
Journal:  J Clin Lab Anal       Date:  2017-08-03       Impact factor: 2.352

Review 3.  Novel urinary biomarkers in early diabetic kidney disease.

Authors:  Atsuko Kamijo-Ikemori; Takeshi Sugaya; Kenjiro Kimura
Journal:  Curr Diab Rep       Date:  2014-08       Impact factor: 4.810

4.  Upregulation of podocyte-secreted angiopoietin-like-4 in diabetic nephropathy.

Authors:  Jing Ma; Xiao Chen; Jian-Si Li; Lei Peng; Shi-Yao Wei; Shi-Lei Zhao; Tong Li; Dan Zhu; Yi-Xin He; Qiu-Ju Wei; Bing Li
Journal:  Endocrine       Date:  2014-11-26       Impact factor: 3.633

Review 5.  Biomarkers in diabetic nephropathy: Present and future.

Authors:  Gemma Currie; Gerard McKay; Christian Delles
Journal:  World J Diabetes       Date:  2014-12-15

6.  Prognostic Value of Tubulointerstitial Lesions, Urinary N-Acetyl-β-d-Glucosaminidase, and Urinary β2-Microglobulin in Patients with Type 2 Diabetes and Biopsy-Proven Diabetic Nephropathy.

Authors:  Koki Mise; Junichi Hoshino; Toshiharu Ueno; Ryo Hazue; Jumpei Hasegawa; Akinari Sekine; Keiichi Sumida; Rikako Hiramatsu; Eiko Hasegawa; Masayuki Yamanouchi; Noriko Hayami; Tatsuya Suwabe; Naoki Sawa; Takeshi Fujii; Shigeko Hara; Kenichi Ohashi; Kenmei Takaichi; Yoshifumi Ubara
Journal:  Clin J Am Soc Nephrol       Date:  2016-01-22       Impact factor: 8.237

7.  Exploring the mechanisms underlying the therapeutic effect of Salvia miltiorrhiza in diabetic nephropathy using network pharmacology and molecular docking.

Authors:  Lili Zhang; Lin Han; Xinmiao Wang; Yu Wei; Jinghui Zheng; Linhua Zhao; Xiaolin Tong
Journal:  Biosci Rep       Date:  2021-06-25       Impact factor: 3.840

8.  Urinary TNF-α and NGAL are correlated with the progression of nephropathy in patients with type 2 diabetes.

Authors:  Jian Wu; Yaqing Ding; Chunling Zhu; Xiaohong Shao; Xin Xie; Kan Lu; Rui Wang
Journal:  Exp Ther Med       Date:  2013-09-26       Impact factor: 2.447

9.  Urinary monocyte chemotactic protein-1 (MCP-1) in leprosy patients: increased risk for kidney damage.

Authors:  Gdayllon Cavalcante Meneses; Alexandre Braga Libório; Elizabeth Francesco de Daher; Geraldo Bezerra da Silva; Marcus Felipe Bezerra da Costa; Maria Araci Andrade Pontes; Alice Maria Costa Martins
Journal:  BMC Infect Dis       Date:  2014-08-20       Impact factor: 3.090

10.  Predictive usefulness of urinary biomarkers for the identification of cyclosporine A-induced nephrotoxicity in a rat model.

Authors:  Carla Patrícia Carlos; Nathália Martins Sonehara; Sonia Maria Oliani; Emmanuel A Burdmann
Journal:  PLoS One       Date:  2014-07-29       Impact factor: 3.240

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