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Cited by 265

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Matrix metalloproteinases in kidney homeostasis and diseases

Open access
Tan, Roderick J., Liu, Youhua·2012·American Journal of Physiology-Renal Physiology

Abstract

Matrix metalloproteinases (MMPs) are a family of zinc-dependent endopeptidases that have been increasingly linked to both normal physiology and abnormal pathology in the kidney. Collectively able to degrade all components of the extracellular matrix, MMPs were originally thought to antagonize the development of fibrotic diseases solely through digestion of excessive matrix. However, increasing evidence has shown that MMPs play a wide variety of roles in regulating inflammation, epithelial-mesenchymal transition, cell proliferation, angiogenesis, and apoptosis. We now have robust evidence for MMP dysregulation in a multitude of renal diseases including acute kidney injury, diabetic nephropathy, glomerulonephritis, inherited kidney disease, and chronic allograft nephropathy. The goal of this review is to summarize current findings regarding the role of MMPs in kidney diseases as well as the mechanisms of action of this family of proteases.

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Crossref · 10.1152/ajprenal.00037.2012

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Metadata

Authors
Tan, R. J., & Liu, Y.
Venue
American Journal of Physiology-Renal Physiology
Published
2012-06-01
Volume
302
Issue
11
Pages
F1351-F1361
ISSN
  • 1522-1466 (ISSN-L)
  • 1931-857X
OpenAlex
W2160664288
Cited by
265
References
133
FWCI
4.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Matrix metalloproteinases in kidney homeostasis and diseases. https://app.cochat.ai/papers/10.1152/ajprenal.00037.2012
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Tan, R. J., & Liu, Y. (2012). Matrix metalloproteinases in kidney homeostasis and diseases. American Journal of Physiology-Renal Physiology. https://doi.org/10.1152/ajprenal.00037.2012

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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.