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Biohybrid thin films for measuring contractility in engineered cardiovascular muscle

Open access
Alford, Patrick W., Feinberg, Adam W., Sheehy, Sean P., Parker, Kevin K.·2010·Biomaterials

Abstract

In vitro cardiovascular disease models need to recapitulate tissue-scale function in order to provide in vivo relevance. We have developed a new method for measuring the contractility of engineered cardiovascular smooth and striated muscle in vitro during electrical and pharmacological stimulation. We present a growth theory-based finite elasticity analysis for calculating the contractile stresses of a 2D anisotropic muscle tissue cultured on a flexible synthetic polymer thin film. Cardiac muscle engineered with neonatal rat ventricular myocytes and paced at 0.5 Hz generated stresses of 9.2 ± 3.5 kPa at peak systole, similar to measurements of the contractility of papillary muscle from adult rats. Vascular tissue engineered with human umbilical arterial smooth muscle cells maintained a basal contractile tone of 13.1 ± 2.1 kPa and generated another 5.1 ± 0.8 kPa when stimulated with endothelin-1. These data suggest that this method may be useful in assessing the efficacy and safety of pharmacological agents on cardiovascular tissue.

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Metadata

Authors
Alford, P. W., Feinberg, A. W., Sheehy, S. P., & Parker, K. K.
Venue
Biomaterials
Publisher
Elsevier BV
Published
2010-05
Volume
31
Issue
13
Pages
3613-3621
ISSN
0142-9612 (ISSN-L)
OpenAlex
W2147086117
Cited by
168
References
2
FWCI
10.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biohybrid thin films for measuring contractility in engineered cardiovascular muscle. https://app.cochat.ai/papers/10.1016/j.biomaterials.2010.01.079
The paper
Alford, P. W., Feinberg, A. W., Sheehy, S. P., & Parker, K. K. (2010). Biohybrid thin films for measuring contractility in engineered cardiovascular muscle. Biomaterials. https://doi.org/10.1016/j.biomaterials.2010.01.079

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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.