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血管生成:适应性动态生物模式问题。

Angiogenesis: an adaptive dynamic biological patterning problem.

机构信息

Department of Physiology and Arizona Research Laboratories, University of Arizona, Tucson, Arizona, United States of America.

出版信息

PLoS Comput Biol. 2013;9(3):e1002983. doi: 10.1371/journal.pcbi.1002983. Epub 2013 Mar 21.

Abstract

Formation of functionally adequate vascular networks by angiogenesis presents a problem in biological patterning. Generated without predetermined spatial patterns, networks must develop hierarchical tree-like structures for efficient convective transport over large distances, combined with dense space-filling meshes for short diffusion distances to every point in the tissue. Moreover, networks must be capable of restructuring in response to changing functional demands without interruption of blood flow. Here, theoretical simulations based on experimental data are used to demonstrate that this patterning problem can be solved through over-abundant stochastic generation of vessels in response to a growth factor generated in hypoxic tissue regions, in parallel with refinement by structural adaptation and pruning. Essential biological mechanisms for generation of adequate and efficient vascular patterns are identified and impairments in vascular properties resulting from defects in these mechanisms are predicted. The results provide a framework for understanding vascular network formation in normal or pathological conditions and for predicting effects of therapies targeting angiogenesis.

摘要

血管生成形成功能健全的血管网络是生物学模式形成的一个问题。由于没有预先确定的空间模式,网络必须发展出分层的树状结构,以便在长距离上进行有效的对流输送,同时结合密集的空间填充网格,以实现短距离扩散到组织中的每个点。此外,网络必须能够在不中断血流的情况下响应功能需求的变化进行重构。在这里,基于实验数据的理论模拟表明,通过在缺氧组织区域生成的生长因子的刺激下过度产生血管,可以解决这种模式形成问题,同时通过结构适应和修剪进行细化。确定了产生充足和有效的血管模式的基本生物学机制,并预测了这些机制缺陷导致的血管特性损伤。研究结果为理解正常或病理条件下的血管网络形成以及预测针对血管生成的治疗效果提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/3605064/c8d4c261dd76/pcbi.1002983.g001.jpg

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