Boissier Noemie, Drasdo Dirk, Vignon-Clementel Irene E
Inria, Paris, France.
Laboratoire Jacques-Louis Lions, Sorbonne Université, CNRS, Université de Paris, Paris, France.
Int J Numer Method Biomed Eng. 2021 Feb;37(2):e3422. doi: 10.1002/cnm.3422. Epub 2020 Dec 27.
When modeling a detoxifying organ function, an important component is the impact of flow on the metabolism of a compound of interest carried by the blood. We here study the effects of red blood cells (such as the Fahraeus-Lindqvist effect and plasma skimming) on blood flow in typical microcirculatory components such as tubes, bifurcations and entire networks, with particular emphasis on the liver as important representative of detoxifying organs. In one of the plasma skimming models, under certain conditions, oscillations between states are found and analyzed in a methodical study to identify their causes and influencing parameters. The flow solution obtained is then used to define the velocity at which a compound would be transported. A convection-reaction equation is studied to simulate the transport of a compound in blood and its uptake by the surrounding cells. Different types of signal sharpness have to be handled depending on the application to address different temporal compound concentration profiles. To permit executing the studied models numerically stable and accurate, we here extend existing transport schemes to handle converging bifurcations, and more generally multi-furcations. We study the accuracy of different numerical schemes as well as the effect of reactions and of the network itself on the bolus shape. Even though this study is guided by applications in liver micro-architecture, the proposed methodology is general and can readily be applied to other capillary network geometries, hence to other organs or to bioengineered network designs.
在对解毒器官功能进行建模时,一个重要的组成部分是血流对血液中携带的目标化合物代谢的影响。我们在此研究红细胞(如法赫瑞 - 林德奎斯特效应和血浆撇取)对典型微循环组件(如血管、分支和整个网络)中血流的影响,特别强调肝脏作为解毒器官的重要代表。在其中一个血浆撇取模型中,在特定条件下,通过系统研究发现并分析了状态之间的振荡,以确定其原因和影响参数。然后,将获得的流动解用于定义化合物的传输速度。研究了一个对流 - 反应方程,以模拟化合物在血液中的传输及其被周围细胞的摄取。根据应用的不同,需要处理不同类型的信号锐度,以应对不同的时间化合物浓度分布。为了使所研究的模型在数值上稳定且准确地执行,我们在此扩展现有的传输方案以处理汇聚分支,更一般地处理多分支。我们研究了不同数值方案的准确性以及反应和网络本身对团注形状的影响。尽管本研究以肝脏微结构中的应用为导向,但所提出的方法具有通用性,可轻松应用于其他毛细血管网络几何结构,从而应用于其他器官或生物工程网络设计。