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Cited by 267

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Mechanical stress is communicated between different cell types to elicit matrix remodeling

Open access
Swartz, M. A., Tschumperlin, D. J., Kamm, R. D., Drazen, J. M.·2001·Proceedings of the National Academy of Sciences

Abstract

Tissue remodeling often reflects alterations in local mechanical conditions and manifests as an integrated response among the different cell types that share, and thus cooperatively manage, an extracellular matrix. Here we examine how two different cell types, one that undergoes the stress and the other that primarily remodels the matrix, might communicate a mechanical stress by using airway cells as a representative in vitro system. Normal stress is imposed on bronchial epithelial cells in the presence of unstimulated lung fibroblasts. We show that ( i ) mechanical stress can be communicated from stressed to unstressed cells to elicit a remodeling response, and ( ii ) the integrated response of two cell types to mechanical stress mimics key features of airway remodeling seen in asthma: namely, an increase in production of fibronectin, collagen types III and V, and matrix metalloproteinase type 9 (MMP-9) (relative to tissue inhibitor of metalloproteinase-1, TIMP-1). These observations provide a paradigm to use in understanding the management of mechanical forces on the tissue level.

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Metadata

Authors
Swartz, M. A., Tschumperlin, D. J., Kamm, R. D., & Drazen, J. M.
Venue
Proceedings of the National Academy of Sciences
Published
2001-05-15
Volume
98
Issue
11
Pages
6180-6185
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1990681110
Cited by
267
References
0
FWCI
3.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanical stress is communicated between different cell types to elicit matrix remodeling. https://app.cochat.ai/papers/10.1073/pnas.111133298
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Swartz, M. A., Tschumperlin, D. J., Kamm, R. D., & Drazen, J. M. (2001). Mechanical stress is communicated between different cell types to elicit matrix remodeling. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.111133298

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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.