Murfee Walter L, Sweat Richard S, Tsubota Ken-Ichi, Mac Gabhann Feilim, Khismatullin Damir, Peirce Shayn M
Department of Biomedical Engineering , Tulane University , 500 Lindy Boggs Energy Center, New Orleans, LA 70118 , USA.
Department of Mechanical Engineering , Chiba University , 1-33 Yayoi, Inage, Chiba 263-8522 , Japan.
Interface Focus. 2015 Apr 6;5(2):20140077. doi: 10.1098/rsfs.2014.0077.
Microvascular network remodelling is a common denominator for multiple pathologies and involves both angiogenesis, defined as the sprouting of new capillaries, and network patterning associated with the organization and connectivity of existing vessels. Much of what we know about microvascular remodelling at the network, cellular and molecular scales has been derived from reductionist biological experiments, yet what happens when the experiments provide incomplete (or only qualitative) information? This review will emphasize the value of applying computational approaches to advance our understanding of the underlying mechanisms and effects of microvascular remodelling. Examples of individual computational models applied to each of the scales will highlight the potential of answering specific questions that cannot be answered using typical biological experimentation alone. Looking into the future, we will also identify the needs and challenges associated with integrating computational models across scales.
微血管网络重塑是多种病理状态的一个共同特征，涉及血管生成（定义为新毛细血管的芽生）以及与现有血管的组织和连通性相关的网络模式形成。我们在网络、细胞和分子尺度上对微血管重塑的许多了解都来自简化论生物学实验，然而当实验提供的信息不完整（或只是定性的）时会发生什么呢？本综述将强调应用计算方法来增进我们对微血管重塑潜在机制和影响的理解的价值。应用于每个尺度的单个计算模型的例子将突出回答仅使用典型生物学实验无法回答的特定问题的潜力。展望未来，我们还将确定跨尺度整合计算模型相关的需求和挑战。
