脑血管壁应力与平滑肌细胞参数关系的最小模型

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
N. Kh. Shadrina
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引用次数: 0

摘要

摘要 根据已发表的大鼠脑血管实验结果,建立了小动脉血管壁的最小数学模型。假定主动应力只有周向分量,并取决于周向拉伸、细胞质中的钙浓度和平滑肌细胞的膜电位。小动脉模型定性地再现了正常生理条件下其他血管更复杂模型的结果。与只考虑单个细胞参数的类似模型不同,将膜电位作为主要参数之一,可以检测到周向应力对拉伸和径向坐标的依赖性随血管张力变化而发生的质变。在血管张力形成阶段,当膜电位和钙浓度值固定时,应力向血管外壁方向减小,并随着拉伸的增加而增大。一旦血管张力形成,周向应力的变化方向就会逆转。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Minimal Model of the Dependence of Stresses in a Cerebral Vessel Wall on Smooth Muscle Cell Parameters

Minimal Model of the Dependence of Stresses in a Cerebral Vessel Wall on Smooth Muscle Cell Parameters

Abstract

A minimal mathematical model of the wall of a small arterial vessel was created based on the published results of experiments with rat cerebral vessels. It was assumed that the active stress has only a circumferential component and depends on the circumferential stretch, the calcium concentration in the cytoplasm, and the membrane potential of smooth muscle cells. The model of a small artery qualitatively reproduces the results of more sophisticated models of other vessels under normal physiological conditions. Unlike in a similar model with a single cell parameter taken into account, the addition of the membrane potential as one of the main parameters made it possible to detect a qualitative change that occurs in the dependence of circumferential stress on the stretch and radial coordinate with a change in vascular tone. At fixed values of the membrane potential and calcium concentration in the phase of vascular tone development, the stress decreases towards the outer wall of the vessel and increases with the increasing stretch. Once the tone has formed, the direction of changes in circumferential stress reverses.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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