Hrabetová Sabina, Nicholson Charles
Department of Physiology and Neuroscience, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA.
Neurochem Int. 2004 Sep;45(4):467-77. doi: 10.1016/j.neuint.2003.11.011.
The extracellular space (ECS) of the brain is a major channel for intercellular communication, nutrient and metabolite trafficking, and drug delivery. The dominant transport mechanism is diffusion, which is governed by two structural parameters, tortuosity and volume fraction. Tortuosity (lambda) represents the hindrance imposed on the diffusing molecules by the tissue in comparison with an obstacle-free medium, while volume fraction (alpha) is the proportion of tissue volume occupied by the ECS. Diffusion of small ECS markers can be exploited to measure lambda and alpha. In healthy brain tissue, lambda is about 1.6 but increases to 1.9-2.0 in pathologies that involve cellular swelling. Previously it was thought that lambda could be explained by the circumnavigation of diffusing molecules around cells. Numerical models of assemblies of convex cells, however, give an upper limit of about 1.23 for lambda. Therefore, additional factors must be responsible for lambda in brain. In principle, two mechanisms could account for the measured value: a more complex ECS geometry or an extracellular macromolecular matrix. Here we review recent work in ischemic tissue suggesting concave geometrical formations, dead-space microdomains, as a major determinant of extracellular tortuosity. A theoretical model of lambda based on diffusion dwell times supports this hypothesis and predicts that, in ischemia, dead spaces occupy approximately 60% of ECS volume fraction leaving only approximately 40% for well-connected channels. It is further proposed that dead spaces are present in healthy brain tissue where they constitute about 40% of alpha. The presence of dead-space microdomains in the ECS implies microscopic heterogeneity of extracellular channels with fundamental implications for molecular transport in brain.
大脑的细胞外间隙(ECS)是细胞间通讯、营养物质和代谢产物运输以及药物递送的主要通道。主要的运输机制是扩散,它受曲折度和体积分数这两个结构参数的控制。曲折度(λ)表示与无阻碍介质相比,组织对扩散分子施加的阻碍,而体积分数(α)是ECS占据的组织体积比例。可以利用小ECS标记物的扩散来测量λ和α。在健康脑组织中,λ约为1.6,但在涉及细胞肿胀的病理状态下会增加到1.9 - 2.0。以前认为λ可以通过扩散分子在细胞周围的迂回运动来解释。然而,凸细胞集合的数值模型给出的λ上限约为1.23。因此,大脑中λ必定还有其他因素起作用。原则上,有两种机制可以解释测量值:更复杂的ECS几何形状或细胞外大分子基质。在这里,我们回顾了近期在缺血组织中的研究工作,这些研究表明凹形几何结构即死腔微区是细胞外曲折度的主要决定因素。基于扩散停留时间的λ理论模型支持这一假设,并预测在缺血状态下,死腔占据ECS体积分数的约60%,只剩下约40%用于连接良好的通道。进一步提出,死腔存在于健康脑组织中,在那里它们占α的约40%。ECS中死腔微区的存在意味着细胞外通道的微观异质性,这对大脑中的分子运输具有重要意义。