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Diabetic nephropathy and inflammation

Open access
Duran-Salgado, Montserrat B·2014·World Journal of Diabetes

Abstract

Diabetic nephropathy (DN) is the leading cause of end-stage renal failure worldwide. Besides, diabetic nephropathy is associated with cardiovascular disease, and increases mortality of diabetic patients. Several factors are involved in the pathophysiology of DN, including metabolic and hemodynamic alterations, oxidative stress, and activation of the renin-angiotensin system. In recent years, new pathways involved in the development and progression of diabetic kidney disease have been elucidated; accumulated data have emphasized the critical role of inflammation in the pathogenesis of diabetic nephropathy. Expression of cell adhesion molecules, growth factors, chemokines and pro-inflammatory cytokines are increased in the renal tissues of diabetic patients, and serum and urinary levels of cytokines and cell adhesion molecules, correlated with albuminuria. In this paper we review the role of inflammation in the development of diabetic nephropathy, discussing some of the major inflammatory cytokines involved in the pathogenesis of diabetic nephropathy, including the role of adipokines, and take part in other mediators of inflammation, as adhesion molecules.

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Metadata

Authors
Duran-Salgado, M. B.
Venue
World Journal of Diabetes
Published
2014
Volume
5
Issue
3
Pages
393
ISSN
1948-9358 (ISSN-L)
OpenAlex
W2061172276
Cited by
382
References
0
FWCI
18.75
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Diabetic nephropathy and inflammation. https://app.cochat.ai/papers/10.4239/wjd.v5.i3.393
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Duran-Salgado, M. B. (2014). Diabetic nephropathy and inflammation. World Journal of Diabetes. https://doi.org/10.4239/wjd.v5.i3.393

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.