Journal Article

Modelling carotid artery adaptations to dynamic alterations in pressure and flow over the cardiac cycle

L. Cardamone, A. Valentín, J. F. Eberth and J. D. Humphrey

in Mathematical Medicine and Biology: A Journal of the IMA

Published on behalf of Institute of Mathematics and its Applications

Volume 27, issue 4, pages 343-371
Published in print December 2010 | ISSN: 1477-8599
Published online May 2010 | e-ISSN: 1477-8602 | DOI: http://dx.doi.org/10.1093/imammb/dqq001
Modelling carotid artery adaptations to dynamic alterations in pressure and flow over the cardiac cycle

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Motivated by recent clinical and laboratory findings of important effects of pulsatile pressure and flow on arterial adaptations, we employ and extend an established constrained mixture framework of growth (change in mass) and remodelling (change in structure) to include such dynamical effects. New descriptors of cell and tissue behavior (constitutive relations) are postulated and refined based on new experimental data from a transverse aortic arch banding model in the mouse that increases pulsatile pressure and flow in one carotid artery. In particular, it is shown that there was a need to refine constitutive relations for the active stress generated by smooth muscle, to include both stress- and stress rate-mediated control of the turnover of cells and matrix and to account for a cyclic stress-mediated loss of elastic fibre integrity and decrease in collagen stiffness in order to capture the reported evolution, over 8 weeks, of luminal radius, wall thickness, axial force and in vivo axial stretch of the hypertensive mouse carotid artery. We submit, therefore, that complex aspects of adaptation by elastic arteries can be predicted by constrained mixture models wherein individual constituents are produced or removed at individual rates and to individual extents depending on changes in both stress and stress rate from normal values.

Keywords: growth; remodelling; stress; stress rate; mechanobiology; mechanics; aortic banding

Journal Article.  0 words. 

Subjects: Applied Mathematics ; Biomathematics and Statistics

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