Tao A, Tao L, Nicholson C
Department of Physiology and Neuroscience, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA.
J Theor Biol. 2005 Jun 21;234(4):525-36. doi: 10.1016/j.jtbi.2004.12.009.
Brain extracellular space (ECS) forms hindered pathways for molecular diffusion in chemical signaling and drug delivery. Hindrance is quantified by the tortuosity lambda; the tortuosity obtained from simulations using uniformly spaced convex cells is significantly lower than that measured experimentally. To attempt to account for the difference in results, this study employed a variety of ECS models based on an array of cubic cells containing open rectangular cavities that provided the ECS with dead-space microdomains. Monte Carlo simulations demonstrated that, in such ECS models, lambda can equal or exceed the typical experimental value of about 1.6. The simulations further revealed that lambda is relatively independent of cavity shape and the number of cavities per cell. It mainly depends on the total ECS volume fraction alpha, the cavity volume fraction alpha(c), and whether the cavity is located at the center of a cell face or formed at the junction of multiple cells. To describe the results from the different ECS models, an expression was obtained that related lambda to alpha, alpha(c), and an empirical exit factor beta that correlated with the ease with which a molecule could leave a cavity and its vicinity.
脑细胞外间隙(ECS)在化学信号传导和药物递送中形成了阻碍分子扩散的路径。阻碍程度通过迂曲度λ来量化;使用均匀间隔的凸形细胞进行模拟得到的迂曲度显著低于实验测量值。为了试图解释结果差异,本研究采用了多种基于包含开放矩形腔的立方体细胞阵列的ECS模型,这些开放矩形腔为ECS提供了死腔微区。蒙特卡罗模拟表明,在这种ECS模型中,λ可以等于或超过约1.6的典型实验值。模拟进一步揭示,λ相对独立于腔的形状和每个细胞的腔数量。它主要取决于ECS总体积分数α、腔体积分数α(c),以及腔是位于细胞面的中心还是在多个细胞的交界处形成。为了描述不同ECS模型的结果,得到了一个将λ与α、α(c)以及与分子离开腔及其附近区域的难易程度相关的经验出口因子β相关联的表达式。