Affiliation:
1. Department of Mathematics North Carolina State University Raleigh North Carolina USA
2. Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center & Department of Biomedical Engineering University of California, Irvine (UCI) Irvine California USA
3. School of Mathematics and Statistics University of Glasgow Glasgow UK
Abstract
AbstractPulmonary hypertension is a cardiovascular disorder manifested by elevated mean arterial blood pressure (>20 mmHg) together with vessel wall stiffening and thickening due to alterations in collagen, elastin, and smooth muscle cells. Hypoxia‐induced (type 3) pulmonary hypertension can be studied in animals exposed to a low oxygen environment for prolonged time periods leading to biomechanical alterations in vessel wall structure. This study introduces a novel approach to formulating a reduced order nonlinear elastic structural wall model for a large pulmonary artery. The model relating blood pressure and area is calibrated using ex vivo measurements of vessel diameter and wall thickness changes, under controlled pressure conditions, in left pulmonary arteries isolated from control and hypertensive mice. A two‐layer, hyperelastic, and anisotropic model incorporating residual stresses is formulated using the Holzapfel–Gasser–Ogden model. Complex relations predicting vessel area and wall thickness with increasing blood pressure are derived and calibrated using the data. Sensitivity analysis, parameter estimation, subset selection, and physical plausibility arguments are used to systematically reduce the 16‐parameter model to one in which a much smaller subset of identifiable parameters is estimated via solution of an inverse problem. Our final reduced one layer model includes a single set of three elastic moduli. Estimated ranges of these parameters demonstrate that nonlinear stiffening is dominated by elastin in the control animals and by collagen in the hypertensive animals. The pressure–area relation developed in this novel manner has potential impact on one‐dimensional fluids network models of vessel wall remodeling in the presence of cardiovascular disease.
Funder
Engineering and Physical Sciences Research Council
Leverhulme Trust
National Science Foundation of Sri Lanka
Cited by
1 articles.
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