血管新生动力学:在结构适应性血管网络中的血管内流量的计算模型
Sahar Jafari Nivlouei1, Ana Guerra1, Jorge Belinha2
1INEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, 4200-465 Porto, Portugal.
Biomedicines
|January 8, 2025
概括
这项研究引入了一种新的血管生成计算模型,模拟血管生长和流动动力学. 该模型准确地预测了毛细血管的分支,并为改善伤口愈合策略提供了对血管发育的定量见解.
科学领域:
- * 计算生物学和数学建模.
- * 血管生物学和血管生成研究.
- * 生物医学工程和组织再生.
背景情况:
- *血管新生,新血管的生长,对于伤口愈合至关重要,但目前的模型缺乏关于血液流动和血管动态的定量数据.
- *了解血管发育是改善慢性伤口愈合和组织再生治疗策略的关键.
- *现有的胆膜 (CAM) 模型无法量化基本参数,如血流速,血管内压力或血管直径变化.
研究的目的:
- * 开发一种新的二维数学模型来模拟血管生成.
- * 整合离散和连续建模方法,进行详细的毛细血管网络分析.
- * 提供对血管发育和血液流动动态的定量见解.
主要方法:
- * 开发了一种基于混合无网格的数学模型来模拟生长血管生成.
- * 集成的离散和连续建模以捕捉细胞相互作用和毛细血管网络结构.
- * 采用了体内胆质膜 (CAM) 系统进行模拟.
主要成果:
- * 该模型准确预测了毛细血管分支,毛细血管体积分数偏差<15%.
- *模拟血流,计算血管内压力和血管壁剪切应力分布.
- * 一个适应性网络证明了毛细血管对刺激的反应,显示出显著的直径变化 (p < 0.05) 和代谢刺激 (p < 0.01).
结论:
- *新型模型为模拟血管内流和血管生成提供了强大的预测能力.
- * 提供血管网络发展的定量和定性评估.
- *通过创建一个生物相关的网络来解决组织的功能需求,从而提高对血管生成的理解.
相关概念视频
Typical Model Studies
340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340
Autoregulation of Blood Flow
2.2K
Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
2.2K
Navier–Stokes Equations
422
For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
422
Rapidly Varying Flow
49
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
49
Overview of the Vascular System
2.7K
The vascular system comprises an extensive network of arteries, capillaries, and veins. The vascular system can be broadly divided into the blood and lymphatic systems. Typically, blood vessels can be categorized into three histological regions: tunica intima, tunica media, and tunica adventitia. The tunica intima consists of a single layer of endothelial cells attached to the basal lamina. Underlying the basal lamina is a connective tissue layer and an elastic lamina that gives stability and...
2.7K
Design Example: Creating a Hydraulic Model of a Dam Spillway
122
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
122


