Changes in diffusion through the brain extracellular space

• Published in: Biotechnology and applied biochemistry 2004-04, Vol.39 (2), p.223-232
• Main Authors: Mota, Manuel, Teixeira, José A., Keating, José B., Yelshin, Alexander
• Format: Article
• Language: English
• Subjects: Animals; Biological and medical sciences; Biological Transport; Biopolymers - chemistry; Biotechnology; Brain Chemistry; Brain Diseases - metabolism; brain pathology; Computer Simulation; Diffusion; extracellular space; Extracellular Space - chemistry; Fundamental and applied biological sciences. Psychology; hindered macromolecule diffusion; Humans; Models, Chemical; Models, Neurological; Molecular Weight; Porosity; tortuosity
• ISSN: 0885-4513; 1470-8744
• DOI: 10.1042/BA20030140

ECS (extracellular space) works as the microenvironment of brain cells. Diffusion through ECS may be described through an effective diffusion coefficient, De, which in turn depends on ECS porosity, ɛ, and tortuosity, T. In the present research, diffusion data together with ɛ and T were collected from the specialized literature and analysed to seek a correlation of T versus ɛ. On the basis of De data, upper and lower T boundaries were defined and related to topologically ‘dense’ and ‘loose’ cell arrangement. A possible range for T variation was obtained for ECS, with ɛ ranging from 0.05 to 0.6. A tortuosity index (n) in the form of T and ɛ logarithmic ratio was introduced. This index may be adopted for recalculation of T or ɛ if only one of these parameters is known. As a result of data analysis and modelling, it was concluded that, upon different external conditions, for instance oxygen depletion, the ECS porosity decreases and cells (presumably through membrane rearrangements) adjust the void space to keep the diffusion within a defined range, which gives the living tissue the ability to maintain the diffusion level up to two or more times higher than in conventional granular bed packing. Thus, even with a dramatic ECS decrease, the cellular system is still able to support a given diffusion by decreasing the value of T. The obtained results clearly show the existence of three data clusters: a region of normal brain functioning, both for young and adult brains, for values of ɛ comprised between 0.15 and 0.30, and two regions of abnormal brain behaviour to the left and to the right of the normal region, corresponding to different states (aging, tumours, anoxia, brain death, etc.). The present approach allows defining the optimal range of ɛ and T to assure the best ECS diffusion efficiency for a specified macromolecule. This might be important in brain clinical treatment.