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Dynamic biaxial loading of vascular smooth muscle cell seeded tissue equivalents
Citation Link: https://doi.org/10.15480/882.13146
Publikationstyp
Journal Article
Publikationsdatum
2024-09-01
Sprache
English
Volume
157
Article Number
106639
Citation
Journal of the Mechanical Behavior of Biomedical Materials 157: 106639 (2024)
Publisher DOI
Scopus ID
Publisher
Elsevier
An intricate reciprocal relationship exists between adherent synthetic cells and their extracellular matrix (ECM). These cells deposit, organize, and degrade the ECM, which in turn influences cell phenotype via responses that include sensitivity to changes in the mechanical state that arises from changes in external loading. Collagen-based tissue equivalents are commonly used as simple but revealing model systems to study cell–matrix interactions. Nevertheless, few quantitative studies report changes in the forces that the cells establish and maintain in such gels under dynamic loading. Moreover, most prior studies have been limited to uniaxial experiments despite many soft tissues, including arteries, experiencing multiaxial loading in vivo. To begin to close this gap, we use a custom biaxial bioreactor to subject collagen gels seeded with primary aortic smooth muscle cells to different biaxial loading conditions. These conditions include cyclic loading with different amplitudes as well as different mechanical constraints at the boundaries of a cruciform sample. Irrespective of loading amplitude and boundary condition, similar mean steady-state biaxial forces emerged across all tests. Additionally, stiffness-force relationships assessed via intermittent equibiaxial force–extension tests showed remarkable similarity for ranges of forces to which the cells adapted during periods of cyclic loading. Taken together, these findings are consistent with a load-mediated homeostatic response by vascular smooth muscle cells.
Schlagworte
Biaxial testing
Cell–matrix interaction
Cell-seeded collagen gels
Mechanobiology
Tensional homeostasis
Tissue engineering
DDC Class
620: Engineering
570: Life Sciences, Biology
Publication version
publishedVersion
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1-s2.0-S1751616124002716-main.pdf
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main article
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2.19 MB
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