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Matrix metalloproteinases in immunity

Goetzl, E J, Banda, M J, Leppert, D·1996·The Journal of Immunology

Abstract

Matrix metalloproteinases (MMPs) are a family of zinc-containing endo-proteinases that share structural domains but differ in substrate specificity, cellular sources, and inducibility. Macrophage production and secretion of large quantities of many MMPs, after contact with matrix proteins, is enhanced by surface determinants on activated T cells and suppressed by cytokines from Th1 and Th2 cells. T cells secrete predominantly the gelatinases MMP-2 and -9, after β 1, integrin- or vascular cell adhesion molecule (VCAM)-1-dependent stimulation by cytokines and inflammatory mediators. MMPs of both T cells and macrophages facilitate secretion of TNF-α, by cleavage of the membrane-bound form. T cell MMPs prepare connective tissue matrices for T cell chemotaxis across basement membranes and through tissues. The greater amounts of diverse MMPs from macrophages are capable of degrading connective tissues, which may release stored growth factors. In limited studies of animal models of autoimmunity, specific MMP inhibitors have significantly decreased edema and inflammatory tissue damage, suggesting possible therapeutic benefits.

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Metadata

Authors
Goetzl, E. J., Banda, M. J., & Leppert, D.
Venue
The Journal of Immunology
Published
1996-01-01
Volume
156
Issue
1
Pages
1-4
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W1481220364
Cited by
544
References
0
FWCI
13.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Matrix metalloproteinases in immunity. https://app.cochat.ai/papers/10.4049/jimmunol.156.1.1
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Goetzl, E. J., Banda, M. J., & Leppert, D. (1996). Matrix metalloproteinases in immunity. The Journal of Immunology. https://doi.org/10.4049/jimmunol.156.1.1

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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.