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Cited by 655

The DOI matches its Crossref record; 222 of the 222 references it cites were found in a registry or an index.

Extracellular Matrix Metabolism in Diabetic Nephropathy

Mason, Roger M., Wahab, Nadia Abdel·2003·Journal of the American Society of Nephrology

Abstract

Diabetic nephropathy is characterized by excessive deposition of extracellular matrix proteins in the mesangium and basement membrane of the glomerulus and in the renal tubulointerstitium. This review summarizes the main changes in protein composition of the glomerular mesangium and basement membrane and the evidence that, in the mesangium, these are initiated by changes in glucose metabolism and the formation of advanced glycation end products. Both processes generate reactive oxygen species (ROS). The review includes discussion of how ROS may activate intracellular signaling pathways leading to the activation of redox-sensitive transcription factors. This in turn leads to change in the expression of genes encoding extracellular matrix proteins and the protease systems responsible for their turnover.

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Crossref · 10.1097/01.asn.0000065640.77499.d7

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Metadata

Authors
Mason, R. M., & Wahab, N. A.
Venue
Journal of the American Society of Nephrology
Published
2003-05
Volume
14
Issue
5
Pages
1358-1373
ISSN
1046-6673 (ISSN-L)
OpenAlex
W2122981222
Cited by
655
References
222
FWCI
12.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extracellular Matrix Metabolism in Diabetic Nephropathy. https://app.cochat.ai/papers/10.1097/01.asn.0000065640.77499.d7
The paper
Mason, R. M., & Wahab, N. A. (2003). Extracellular Matrix Metabolism in Diabetic Nephropathy. Journal of the American Society of Nephrology. https://doi.org/10.1097/01.asn.0000065640.77499.d7

Data sources

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.