Spill F, Guerrero P, Alarcon T, Maini P K, Byrne H M
OCCAM, Mathematical Institute, University of Oxford, Oxford, OX2 6GG, UK,
J Math Biol. 2015 Feb;70(3):485-532. doi: 10.1007/s00285-014-0771-1. Epub 2014 Mar 11.
Angiogenesis is the formation of new blood vessels from pre-existing ones in response to chemical signals secreted by, for example, a wound or a tumour. In this paper, we propose a mesoscopic lattice-based model of angiogenesis, in which processes that include proliferation and cell movement are considered as stochastic events. By studying the dependence of the model on the lattice spacing and the number of cells involved, we are able to derive the deterministic continuum limit of our equations and compare it to similar existing models of angiogenesis. We further identify conditions under which the use of continuum models is justified, and others for which stochastic or discrete effects dominate. We also compare different stochastic models for the movement of endothelial tip cells which have the same macroscopic, deterministic behaviour, but lead to markedly different behaviour in terms of production of new vessel cells.
血管生成是指在诸如伤口或肿瘤等分泌的化学信号作用下,从已有的血管形成新的血管。在本文中,我们提出了一种基于介观晶格的血管生成模型,其中包括增殖和细胞运动等过程被视为随机事件。通过研究该模型对晶格间距和所涉及细胞数量的依赖性,我们能够推导出方程的确定性连续极限,并将其与现有的类似血管生成模型进行比较。我们进一步确定了使用连续模型合理的条件,以及随机或离散效应占主导的其他条件。我们还比较了具有相同宏观确定性行为,但在新血管细胞产生方面导致明显不同行为的内皮尖端细胞运动的不同随机模型。