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Cited by 372

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Role of matrix metalloproteinases in renal pathophysiologies

Catania, J. M., Chen, G., Parrish, A. R.·2007·American Journal of Physiology-Renal Physiology

Abstract

Matrix metalloproteinases (MMPs) are a large family of proteinases that remodel extracellular matrix (ECM) components and cleave a number of cell surface proteins. MMP activity is regulated via a number of mechanisms, including inhibition by tissue inhibitors of metalloproteinases (TIMPs). Originally thought to cleave only ECM proteins, MMP substrates are now known to include signaling molecules (growth factor receptors) and cell adhesion molecules. Recent data suggest a role for MMPs in a number of renal pathophysiologies, both acute and chronic. This review will focus on the expression and localization of MMPs and TIMPs in the kidney, as well as summarizing the current information linking these proteins to acute kidney injury, glomerulosclerosis/tubulointerstitial fibrosis, chronic allograft nephropathy, diabetic nephropathy, polycystic kidney disease, and renal cell carcinoma.

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Registry

Crossref · 10.1152/ajprenal.00421.2006

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Metadata

Authors
Catania, J. M., Chen, G., & Parrish, A. R.
Venue
American Journal of Physiology-Renal Physiology
Published
2007-03
Volume
292
Issue
3
Pages
F905-F911
ISSN
  • 1522-1466 (ISSN-L)
  • 1931-857X
OpenAlex
W2147104008
Cited by
372
References
1
FWCI
5.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Role of matrix metalloproteinases in renal pathophysiologies. https://app.cochat.ai/papers/10.1152/ajprenal.00421.2006
The paper
Catania, J. M., Chen, G., & Parrish, A. R. (2007). Role of matrix metalloproteinases in renal pathophysiologies. American Journal of Physiology-Renal Physiology. https://doi.org/10.1152/ajprenal.00421.2006

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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.