Changes in diffusion through the brain extracellular space

Detalhes bibliográficos
Autor(a) principal: Mota, M.
Data de Publicação: 2004
Outros Autores: Teixeira, J. A., Keating, José, Yelshin, Alexander
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/1199
Resumo: 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, ε, and tortuosity, T. In the present research, diffusion data together with ε and T were collected from the specialized literature and analysed to seek a correlation of T versus ε. 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 ε ranging from 0.05 to 0.6. A tortuosity index (n) in the form of T and ε logarithmic ratio was introduced. This indexmay be adopted for recalculation of T or ε 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 ε 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 ε and T to assure the best ECS diffusion efficiency for a specified macromolecule. This might be important in brain clinical treatment.
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spelling Changes in diffusion through the brain extracellular spaceBrain pathologyExtracellular spaceHindered macromolecule diffusionPorosityTortuositybrain pathology extracellular spaceporosity tortuosityScience & TechnologyECS (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, ε, and tortuosity, T. In the present research, diffusion data together with ε and T were collected from the specialized literature and analysed to seek a correlation of T versus ε. 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 ε ranging from 0.05 to 0.6. A tortuosity index (n) in the form of T and ε logarithmic ratio was introduced. This indexmay be adopted for recalculation of T or ε 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 ε 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 ε and T to assure the best ECS diffusion efficiency for a specified macromolecule. This might be important in brain clinical treatment.Fundação para a Ciência e Tecnologia (FCT); Fonds Européen de Développement Régional (FEDER); Gulbenkian Foundation.Portland PressUniversidade do MinhoMota, M.Teixeira, J. A.Keating, JoséYelshin, Alexander20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/1199eng“Biotechnology and Applied Biochemistry”. 39:2 (2004) 223-232.0885-451310.1042/BA2003014015032743info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:19:22Zoai:repositorium.sdum.uminho.pt:1822/1199Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:12:17.580593Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Changes in diffusion through the brain extracellular space
title Changes in diffusion through the brain extracellular space
spellingShingle Changes in diffusion through the brain extracellular space
Mota, M.
Brain pathology
Extracellular space
Hindered macromolecule diffusion
Porosity
Tortuosity
brain pathology extracellular space
porosity tortuosity
Science & Technology
title_short Changes in diffusion through the brain extracellular space
title_full Changes in diffusion through the brain extracellular space
title_fullStr Changes in diffusion through the brain extracellular space
title_full_unstemmed Changes in diffusion through the brain extracellular space
title_sort Changes in diffusion through the brain extracellular space
author Mota, M.
author_facet Mota, M.
Teixeira, J. A.
Keating, José
Yelshin, Alexander
author_role author
author2 Teixeira, J. A.
Keating, José
Yelshin, Alexander
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Mota, M.
Teixeira, J. A.
Keating, José
Yelshin, Alexander
dc.subject.por.fl_str_mv Brain pathology
Extracellular space
Hindered macromolecule diffusion
Porosity
Tortuosity
brain pathology extracellular space
porosity tortuosity
Science & Technology
topic Brain pathology
Extracellular space
Hindered macromolecule diffusion
Porosity
Tortuosity
brain pathology extracellular space
porosity tortuosity
Science & Technology
description 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, ε, and tortuosity, T. In the present research, diffusion data together with ε and T were collected from the specialized literature and analysed to seek a correlation of T versus ε. 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 ε ranging from 0.05 to 0.6. A tortuosity index (n) in the form of T and ε logarithmic ratio was introduced. This indexmay be adopted for recalculation of T or ε 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 ε 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 ε and T to assure the best ECS diffusion efficiency for a specified macromolecule. This might be important in brain clinical treatment.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/1199
url http://hdl.handle.net/1822/1199
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “Biotechnology and Applied Biochemistry”. 39:2 (2004) 223-232.
0885-4513
10.1042/BA20030140
15032743
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Portland Press
publisher.none.fl_str_mv Portland Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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