4.4 Article

A viscoelastic model of blood capillary extension and regression: derivation, analysis, and simulation

期刊

JOURNAL OF MATHEMATICAL BIOLOGY
卷 68, 期 1-2, 页码 57-80

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00285-012-0624-8

关键词

Angiogenesis; Viscoelastic; Growth pressure; Extension; Regression

资金

  1. University of Michigan
  2. NSFC [11241001]
  3. Shanghai Jiao Tong University
  4. Central Michigan University ORSP Early Career Investigator Grant [C61373]

向作者/读者索取更多资源

This work studies a fundamental problem in blood capillary growth: how the cell proliferation or death induces the stress response and the capillary extension or regression. We develop a one-dimensional viscoelastic model of blood capillary extension/regression under nonlinear friction with surroundings, analyze its solution properties, and simulate various growth patterns in angiogenesis. The mathematical model treats the cell density as the growth pressure eliciting a viscoelastic response from the cells, which again induces extension or regression of the capillary. Nonlinear analysis captures two cases when the biologically meaningful solution exists: (1) the cell density decreases from root to tip, which may occur in vessel regression; (2) the cell density is time-independent and is of small variation along the capillary, which may occur in capillary extension without proliferation. The linear analysis with perturbation in cell density due to proliferation or death predicts the global biological solution exists provided the change in cell density is sufficiently slow in time. Examples with blow-ups are captured by numerical approximations and the global solutions are recovered by slow growth processes, which validate the linear analysis theory. Numerical simulations demonstrate this model can reproduce angiogenesis experiments under several biological conditions including blood vessel extension without proliferation and blood vessel regression.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据