McDougall S R, Anderson A R A, Chaplain M A J, Sherratt J A
Department of Petroleum Engineering, Heriot-Watt University, Edinburgh EH14 4AS, U.K.
Bull Math Biol. 2002 Jul;64(4):673-702. doi: 10.1006/bulm.2002.0293.
Angiogenesis, the formation of blood vessels from a pre-existing vasculature, is a process whereby capillary sprouts are formed in response to externally supplied chemical stimuli. The sprouts then grow and develop, driven initially by endothelial cell migration, and organize themselves into a branched, connected network structure. Subsequent cell proliferation near the sprout-tip permits further extension of the capillary and ultimately completes the process. Angiogenesis occurs during embryogenesis, wound healing, arthritis and during the growth of solid tumours. In this paper we initially generate theoretical capillary networks (which are morphologically similar to those networks observed in vivo) using the discrete mathematical model of Anderson and Chaplain. This discrete model describes the formation of a capillary sprout network via endothelial cell migratory and proliferative responses to external chemical stimuli (tumour angiogenic factors, TAF) supplied by a nearby solid tumour, and also the endothelial cell interactions with the extracellular matrix. The main aim of this paper is to extend this work to examine fluid flow through these theoretical network structures. In order to achieve this we make use of flow modelling tools and techniques (specifically, flow through interconnected networks) from the field of petroleum engineering. Having modelled the flow of a basic fluid through our network, we then examine the effects of fluid viscosity, blood vessel size (i.e., diameter of the capillaries), and network structure/geometry, upon: (i) the rate of flow through the network; (ii) the amount of fluid present in the complete network at any one time; and (iii) the amount of fluid reaching the tumour. The incorporation of fluid flow through the generated vascular networks has highlighted issues that may have major implications for the study of nutrient supply to the tumour (blood/oxygen supply) and, more importantly, for the delivery of chemotherapeutic drugs to the tumour. Indeed, there are also implications for the delivery of anti-angiogenesis drugs to the network itself. Results clearly highlight the important roles played by the structure and morphology of the network, which is, in turn, linked to the size and geometry of the nearby tumour. The connectedness of the network, as measured by the number of loops formed in the network (the anastomosis density), is also found to be of primary significance. Moreover, under certain conditions, the results of our flow simulations show that an injected chemotherapy drug may bypass the tumour altogether.
血管生成是指从预先存在的脉管系统形成血管的过程,在此过程中,毛细血管芽会响应外部提供的化学刺激而形成。这些芽随后生长发育,最初由内皮细胞迁移驱动,并自行组织成一个分支相连的网络结构。随后,芽尖附近的细胞增殖使毛细血管进一步延伸,最终完成这一过程。血管生成发生在胚胎发育、伤口愈合、关节炎以及实体肿瘤生长过程中。在本文中,我们首先使用安德森和查普林的离散数学模型生成理论毛细血管网络(其形态与体内观察到的网络相似)。这个离散模型描述了通过内皮细胞对附近实体肿瘤提供的外部化学刺激(肿瘤血管生成因子,TAF)的迁移和增殖反应形成毛细血管芽网络的过程,以及内皮细胞与细胞外基质的相互作用。本文的主要目的是扩展这项工作,以研究流体在这些理论网络结构中的流动。为了实现这一点,我们利用了石油工程领域的流动建模工具和技术(具体来说,是通过相互连接的网络的流动)。在对一种基本流体在我们的网络中的流动进行建模之后,我们接着研究流体粘度、血管大小(即毛细血管的直径)以及网络结构/几何形状对以下方面的影响:(i)通过网络的流速;(ii)在任何时刻整个网络中存在的流体量;(iii)到达肿瘤的流体量。将流体流动纳入所生成的血管网络突出了一些问题,这些问题可能对肿瘤营养供应(血液/氧气供应)的研究,更重要的是对化疗药物向肿瘤的递送具有重大影响。实际上,这对于向网络本身递送抗血管生成药物也有影响。结果清楚地突出了网络结构和形态所起的重要作用,而这又与附近肿瘤的大小和几何形状相关。通过网络中形成的环的数量(吻合密度)来衡量的网络连通性也被发现具有首要意义。此外,在某些条件下,我们的流动模拟结果表明,注入的化疗药物可能会完全绕过肿瘤。