基于元胞自动机的肾元网络模型的压力流动动力学

Siva Manohar Reddy Kesu, Hariharan Ramasangu
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引用次数: 0

摘要

建立全肾模型对肾脏疾病的有效诊断和治疗具有重要意义。多肾元网络的建模有助于整个肾脏模型的建立。任何肾元模型的关键是理解压力动态。肾脏压力动力学的控制方程取决于肾单位的数量及其相互作用。有数学模型来分析单个和耦合肾元的局部和全局行为。对于整个肾脏模型,很难建立控制方程。这就需要开发仿真模型。即使是模拟模型也只开发了72个肾元。这种复杂性涉及到肾元的局部和全局行为。本文提出了一个元胞自动机(CA)框架来研究肾元的整体行为。所提出的CA框架的优点是其可扩展性和无需制定相应的控制方程即可捕获全局动态的能力。CA框架的局限性在于它无法比较点对点的本地行为。但临床研究结果表明,整体行为提供了有关肾脏的重要信息。我们已经开发了考虑刚性和顺应性小管的8肾元、16肾元、72肾元和100肾元网络模型的CA规则。不同初始化方案下的CA规则产生了不同的演化模式,这与实验和数值结果得出的肾元的紧急动力学行为相似。CA框架的进化模式与正常血压和高血压动态有关。在CA演化模式中也观察到相内同步和相外同步。心血管系统的不规则节律可能在肾脏压力动力学中引起冲击波。在提议的CA框架中也观察到了这种行为。
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Pressure flow dynamics in cellular automata based nephron network model
Developing a whole kidney model is important for effective diagnostic procedures and treating kidney diseases. The modeling of a multi-nephron network aids in developing the whole kidney model. The key aspect of any nephron model is understanding the pressure dynamics. The governing equations for pressure dynamics in the kidney depend on the number of nephrons and their interactions. There are mathematical models to analyze the local and global behaviors of single and coupled nephrons. It is difficult to formulate governing equations for a whole kidney model. This necessitates the development of simulation models. Even the simulation models have only been developed for 72 nephrons. The complexity is involved in incorporating both local and global behaviors of nephrons. In this paper, a cellular automata (CA) framework has been proposed to study the global behavior of nephrons. The advantage of the proposed CA framework is its scalability and its ability to capture global dynamics without formulating the corresponding governing equations. The limitation of the CA framework is its inability to compare point-to-point local behavior. But the clinical findings suggest that global behavior gives significant information about the kidney. We have developed CA rules for 8-nephron, 16-nephron, 72-nephron and 100-nephron network models considering both rigid and compliance tubules. The CA rules with various initialization schemes produce different evolutionary patterns similar to the emergent dynamical behavior of nephrons obtained from experimental and numerical findings. Evolutionary patterns of the CA framework are related to normotensive and hypertensive pressure dynamics. The in-phase and out-of-phase synchronizations have also been observed in the CA evolutionary patterns. The irregular rhythm of the cardiovascular system may give rise to shock waves in the pressure dynamics of the kidney. This behavior has also been observed in the proposed CA framework.
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来源期刊
International Journal of Applied Science and Engineering
International Journal of Applied Science and Engineering Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
2.90
自引率
0.00%
发文量
22
期刊介绍: IJASE is a journal which publishes original articles on research and development in the fields of applied science and engineering. Topics of interest include, but are not limited to: - Applied mathematics - Biochemical engineering - Chemical engineering - Civil engineering - Computer engineering and software - Electrical/electronic engineering - Environmental engineering - Industrial engineering and ergonomics - Mechanical engineering.
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