Literature DB >> 21058025

Role of elastin anisotropy in structural strain energy functions of arterial tissue.

R Rezakhaniha1, E Fonck, C Genoud, N Stergiopulos.   

Abstract

The vascular wall exhibits nonlinear anisotropic mechanical properties. The identification of a strain energy function (SEF) is the preferred method to describe its complex nonlinear elastic properties. Earlier constituent-based SEF models, where elastin is modeled as an isotropic material, failed in describing accurately the tissue response to inflation-extension loading. We hypothesized that these shortcomings are partly due to unaccounted anisotropic properties of elastin. We performed inflation-extension tests on common carotid of rabbits before and after enzymatic degradation of elastin and applied constituent-based SEFs, with both an isotropic and an anisotropic elastin part, on the experimental data. We used transmission electron microscopy (TEM) and serial block-face scanning electron microscopy (SBFSEM) to provide direct structural evidence of the assumed anisotropy. In intact arteries, the SEF including anisotropic elastin with one family of fibers in the circumferential direction fitted better the inflation-extension data than the isotropic SEF. This was supported by TEM and SBFSEM imaging, which showed interlamellar elastin fibers in the circumferential direction. In elastin-degraded arteries, both SEFs succeeded equally well in predicting anisotropic wall behavior. In elastase-treated arteries fitted with the anisotropic SEF for elastin, collagen engaged later than in intact arteries. We conclude that constituent-based models with an anisotropic elastin part characterize more accurately the mechanical properties of the arterial wall when compared to models with simply an isotropic elastin. Microstructural imaging based on electron microscopy techniques provided evidence for elastin anisotropy. Finally, the model suggests a later and less abrupt collagen engagement after elastase treatment.

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Year:  2010        PMID: 21058025     DOI: 10.1007/s10237-010-0259-x

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  18 in total

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2.  Modeling mechano-driven and immuno-mediated aortic maladaptation in hypertension.

Authors:  Marcos Latorre; Jay D Humphrey
Journal:  Biomech Model Mechanobiol       Date:  2018-06-07

3.  Differential histomechanical response of carotid artery in relation to species and region: mathematical description accounting for elastin and collagen anisotropy.

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4.  Contribution of collagen fiber undulation to regional biomechanical properties along porcine thoracic aorta.

Authors:  Shahrokh Zeinali-Davarani; Yunjie Wang; Ming-Jay Chow; Raphaël Turcotte; Yanhang Zhang
Journal:  J Biomech Eng       Date:  2015-02-20       Impact factor: 2.097

5.  Anisotropic residual stresses in arteries.

Authors:  Taisiya Sigaeva; Gerhard Sommer; Gerhard A Holzapfel; Elena S Di Martino
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

6.  Energy harvesting through arterial wall deformation: design considerations for a magneto-hydrodynamic generator.

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Journal:  Med Biol Eng Comput       Date:  2013-02-22       Impact factor: 2.602

7.  Mechanical testing of mouse carotid arteries: from newborn to adult.

Authors:  Mazyar Amin; Victoria P Le; Jessica E Wagenseil
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8.  Transmural variation in elastin fiber orientation distribution in the arterial wall.

Authors:  Xunjie Yu; Yunjie Wang; Yanhang Zhang
Journal:  J Mech Behav Biomed Mater       Date:  2017-08-05

9.  Structural modeling reveals microstructure-strength relationship for human ascending thoracic aorta.

Authors:  James R Thunes; Julie A Phillippi; Thomas G Gleason; David A Vorp; Spandan Maiti
Journal:  J Biomech       Date:  2018-02-08       Impact factor: 2.712

10.  Targeted Gold Nanoparticles as an Indicator of Mechanical Damage in an Elastase Model of Aortic Aneurysm.

Authors:  Brooks A Lane; Xiaoying Wang; Susan M Lessner; Naren R Vyavahare; John F Eberth
Journal:  Ann Biomed Eng       Date:  2020-04-02       Impact factor: 3.934

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