Application and reduction of a nonlinear hyperelastic wall model capturing ex vivo relationships between fluid pressure, area, and wall thickness in normal and hypertensive murine left pulmonary arteries

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Mansoor A. Haider, Katherine J. Pearce, Naomi C. Chesler, Nicholas A. Hill, Mette S. Olufsen
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Abstract

Pulmonary 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.

Abstract Image

Abstract Image

非线性超弹性管壁模型的应用和还原,捕捉正常和高血压小鼠左肺动脉的体外流体压力、面积和管壁厚度之间的关系。
肺动脉高压是一种心血管疾病,表现为平均动脉血压升高(>20 毫米汞柱),同时由于胶原蛋白、弹性蛋白和平滑肌细胞的改变导致血管壁僵硬和增厚。缺氧诱发的(3 型)肺动脉高压可在长期暴露于低氧环境导致血管壁结构发生生物力学改变的动物中进行研究。本研究介绍了一种新方法,即为大型肺动脉建立减阶非线性弹性结构壁模型。在受控压力条件下,通过对分离自对照组和高血压组小鼠左肺动脉的血管直径和管壁厚度变化的活体测量,校准了与血压和面积相关的模型。利用 Holzapfel-Gasser-Ogden 模型建立了一个包含残余应力的双层、超弹性和各向异性模型。得出了预测血管面积和壁厚随血压增加而变化的复杂关系,并利用数据进行了校准。通过敏感性分析、参数估计、子集选择和物理合理性论证,系统地将 16 个参数的模型缩减为一个通过解决逆问题估算出更小的可识别参数子集的模型。我们最终缩减的单层模型包括三组弹性模量。这些参数的估计范围表明,非线性僵化在对照组动物中由弹性蛋白主导,而在高血压动物中则由胶原蛋白主导。用这种新方法建立的压力-面积关系对心血管疾病时血管壁重塑的一维流体网络模型具有潜在影响。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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