2008
DOI: 10.1098/rsif.2008.0254
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Complementary vasoactivity and matrix remodelling in arterial adaptations to altered flow and pressure

Abstract: Arteries exhibit a remarkable ability to adapt to sustained alterations in biomechanical loading, probably via mechanisms that are similarly involved in many arterial pathologies and responses to treatment. Of particular note, diverse data suggest that cell and matrix turnover within vasoaltered states enables arteries to adapt to sustained changes in blood flow and pressure. The goal herein is to show explicitly how altered smooth muscle contractility and matrix growth and remodelling work together to adapt t… Show more

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Cited by 150 publications
(241 citation statements)
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“…C(s) is the net ratio of constrictors to dilators and k mðactÞ h ðsÞ evolves via a first order equation [15,19]. Similar to the earlier work on arterial adaptations [15,19], C(s) ¼ C B À C s Ds w , where C B is the basal constrictor to dilator ratio and C s is a scaling factor for shear stress induced changes in constrictor concentration. The active behavior is taken with respect to individual unloaded configurations for smooth muscle, not the entire mixture.…”
Section: Computational Framework For Gandrmentioning
confidence: 75%
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“…C(s) is the net ratio of constrictors to dilators and k mðactÞ h ðsÞ evolves via a first order equation [15,19]. Similar to the earlier work on arterial adaptations [15,19], C(s) ¼ C B À C s Ds w , where C B is the basal constrictor to dilator ratio and C s is a scaling factor for shear stress induced changes in constrictor concentration. The active behavior is taken with respect to individual unloaded configurations for smooth muscle, not the entire mixture.…”
Section: Computational Framework For Gandrmentioning
confidence: 75%
“…A point-to-point comparison [22] between 2D and 3D models showed that the 2D models accurately predict adaptive changes in geometry and stiffness and thereby capture salient aspects of G&R sufficient for clinical and fluid-structure interaction studies [19,23]. Hence, here, we briefly describe pertinent aspects for a thin-walled cylindrical tube.…”
Section: Computational Framework For Gandrmentioning
confidence: 99%
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