The continuing lack of longitudinal histopathological and biomechanical data for human arteries in health and disease highlights the importance of studying the many genetic, pharmacological, and surgical models that are available in mice. As a result, there has been a significant increase in the number of reports on the biomechanics of murine arteries over the past decade, particularly for the common carotid artery. Whereas most of these studies have focused on wild-type controls or comparing controls vs. a single model of altered hemodynamics or vascular disease, there is a pressing need to compare results across many different models to understand more broadly the effects of genetic mutations, pharmacological treatments, or surgical alterations on the evolving hemodynamics and the microstructure and biomechanical properties of these vessels. This paper represents a first step toward this goal, that is, a biomechanical phenotyping of common carotid arteries from control mice and seven different mouse models that represent alterations in elastic fiber integrity, collagen remodeling, and smooth muscle cell functionality.
Consistent Biomechanical Phenotyping of Common Carotid Arteries from Seven Genetic, Pharmacological, and Surgical Mouse Models
Creators
M. R. Bersi - Yale University
J. Ferruzzi - Yale University
J. F. Eberth - University of South Carolina
R. L. Gleason - Georgia Institute of Technology
J. D. Humphrey - Yale University
Publication Details
Annals of biomedical engineering, v 42(6), pp 1207-1223
Publisher
Springer Nature
Number of pages
17
Grant note
R01 HL105297; R21 HL107768 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R01HL105297 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
National Marfan Foundation
Resource Type
Journal article
Language
English
Academic Unit
School of Biomedical Engineering, Science, and Health Systems
Web of Science ID
WOS:000335653000008
Scopus ID
2-s2.0-84900000951
Other Identifier
991021902500504721
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