A 2-D model of flow-induced alterations in the geometry, structure, and properties of carotid arteries

• Published in: Journal of biomechanical engineering Vol. 126; no. 3; p. 371
• Main Authors: Gleason, R L, Taber, L A, Humphrey, J D
• Format: Journal Article
• Language: English
• Published: United States 01-06-2004
• Subjects: Animals; Blood Flow Velocity - physiology; Blood Pressure; Carotid Arteries - anatomy & histology; Carotid Arteries - physiology; Collagen - physiology; Computer Simulation; Elasticity; Elastin - physiology; Hemostasis - physiology; Humans; Mechanotransduction, Cellular - physiology; Models, Cardiovascular; Muscle, Smooth, Vascular - physiology; Pulsatile Flow; Stress, Mechanical; Viscosity
• ISSN: 0148-0731
• DOI: 10.1115/1.1762899

Evidence from diverse investigations suggests that arterial growth and remodeling correlates well with changes in mechanical stresses from their homeostatic values. Ultimately, therefore, there is a need for a comprehensive theory that accounts for changes in the 3-D distribution of stress within the arterial wall, including residual stress, and its relation to the mechanisms of mechanotransduction. Here, however, we consider a simpler theory that allows competing hypotheses to be tested easily, that can provide guidance in the development of a 3-D theory, and that may be useful in modeling solid-fluid interactions and interpreting clinical data. Specifically, we present a 2-D constrained mixture model for the adaptation of a cylindrical artery in response to a sustained alteration in flow. Using a rule-of-mixtures model for the stress response and first order kinetics for the production and removal of the three primary load-bearing constituents within the wall, we illustrate capabilities of the model by comparing responses given complete versus negligible turnover of elastin. Findings suggest that biological constraints may result in suboptimal adaptations, consistent with reported observations. To build upon this finding, however, there is a need for significantly more data to guide the hypothesis testing as well as the formulation of specific constitutive relations within the model.