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contributor authorBellini, C.
contributor authorCaulk, A. W.
contributor authorLi, G.
contributor authorTellides, G.
contributor authorHumphrey, J. D.
date accessioned2017-11-25T07:19:04Z
date available2017-11-25T07:19:04Z
date copyright2017/31/1
date issued2017
identifier issn0148-0731
identifier otherbio_139_04_044501.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4235563
description abstractThe availability of diverse mouse models is revealing increasingly greater information on arterial mechanics, including homeostatic adaptations and pathologic maladaptations to genetic, pharmacological, and surgical manipulations. Fundamental to understanding such biomechanical changes, however, is reliable information on appropriate control vessels. In this paper, we contrast 15 different geometrical and mechanical metrics of biaxial wall mechanics for the ascending aorta across seven different types of possible control mice. We show that there is a comforting similarity across these multiple controls for most, though not all, metrics. In particular, three potential controls, namely, noninduced conditional mice, exhibit higher values of distensibility, an important clinical metric of structural stiffness, and two of these potential controls also have higher values of intrinsic circumferential material stiffness. There is motivation, therefore, to understand better the biomechanical changes that can arise with noninduced Cre-lox or similar approaches for generating mutations conditionally. In cases of germline mutations generated by breeding heterozygous +/− mice, however, the resulting homozygous +/+ mice tend to exhibit properties similar to traditional (C57BL/6) controls.
publisherThe American Society of Mechanical Engineers (ASME)
titleBiomechanical Phenotyping of the Murine Aorta: What Is the Best Control?
typeJournal Paper
journal volume139
journal issue4
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4035551
journal fristpage44501
journal lastpage044501-6
treeJournal of Biomechanical Engineering:;2017:;volume( 139 ):;issue: 004
contenttypeFulltext


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