Arterial mechanics considering the structural and mechanical contributions of ECM constituents

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• 作者：Yunjie Wang^a ; Shahrokh Zeinali-Davarani^a ; Yanhang Zhang^a ; ^b ; ^{yanhang@bu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Extracellular matrix ; Elastin ; Collagen ; Multi-photon imaging ; Biaxial tensile testing ; Constitutive model ; Fiber distribution function ; Fiber engagement ; Recruitment function
• 刊名：Journal of Biomechanics
• 出版年：2016
• 出版时间：16 August 2016
• 年：2016
• 卷：49
• 期：12
• 页码：2358-2365
• 全文大小：1194 K

文摘

Considering the organization and engagement behavior of different extracellular matrix (ECM) constituents in the medial and adventitial layer of the arterial wall, in this study, we proposed a new constitutive model of ECM mechanics that considers the distinct structural and mechanical contributions of medial elastin, medial collagen, and adventitial collagen, to incorporate the constituent-specific fiber orientation and the sequential fiber engagement in arterial mechanics. Planar biaxial tensile testing method was used to characterize the orthotropic and hyperelastic behavior of porcine thoracic aorta. Fiber distribution functions of medial elastin, medial collagen, and adventitial collagen were incorporated into the constitutive model. Considering the sequential engagement of ECM constituents in arterial mechanics, a recruitment density function was incorporated into the model to capture the delayed engagement of adventitial collagen. A freely jointed chain model was used to capture the mechanical behavior of elastin and collagen at the fiber level. The tissue-level ECM mechanics was obtained by incorporating fiber distribution, engagement, and elastin and collagen content. The multi-scale constitutive model considering the structural and mechanical contributions of the three major ECM constituents allows us to directly incorporate information obtained from quantitative multi-photon imaging and analysis, and biochemical assay for the prediction of tissue-level mechanical response. Moreover, the model shows promises in fitting and predicting with a small set of material parameters, which has physical meanings and can be related to the structure of the ECM.