Department of Applied Mathematics and Computational Sciences, The Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania.
Mathematics and Statistics Department, Machakos University, P.O. Box 136-90100, Machakos, Kenya.
Comput Math Methods Med. 2021 Jul 5;2021:5533886. doi: 10.1155/2021/5533886. eCollection 2021.
A 3-dimensional mathematical model is developed to determine the effect of drug binding kinetics on the spatial distribution of a drug within the brain. The key components, namely, transport across the blood-brain barrier (BBB), drug distribution in the brain extracellular fluid (ECF), and drug binding kinetics are coupled with the bidirectional bulk flow of the brain ECF to enhance the visualization of drug concentration in the brain. The model is developed based on the cubical volume of a brain unit, which is a union of three subdomains: the brain ECF, the BBB, and the blood plasma. The model is a set of partial differential equations and the associated initial and boundary conditions through which the drug distribution process in the mentioned subdomains is described. Effects of drug binding kinetics are investigated by varying the binding parameter values for both nonspecific and specific binding sites. All variations of binding parameter values are discussed, and the results show the improved visualization of the effect of binding kinetics in the drug distribution within the brain. For more realistic visualization, we suggest incorporating more brain components that make up the large volume of the brain tissue.
建立了一个三维数学模型,以确定药物结合动力学对脑内药物空间分布的影响。关键组件,即血脑屏障 (BBB) 的跨膜转运、脑细胞外液 (ECF) 中的药物分布和药物结合动力学与脑 ECF 的双向体循环相结合,以增强脑内药物浓度的可视化。该模型基于脑单位的立方体积开发,该体积是三个子域的并集:脑 ECF、BBB 和血浆。该模型是一组偏微分方程及其相关的初始和边界条件,通过这些条件描述了所述子域中药物分布过程。通过改变非特异性和特异性结合位点的结合参数值来研究药物结合动力学的影响。讨论了所有结合参数值的变化,结果表明,结合动力学对脑内药物分布的影响得到了更好的可视化。为了更逼真的可视化效果,我们建议纳入更多构成脑组织大体积的脑成分。