Cargando…

Modelling of pH dynamics in brain cells after stroke

The identification of salvageable brain tissue is a major challenge at stroke presentation. Standard techniques used in this context, such as the perfusion–diffusion mismatch, remain controversial. There is thus a need for new methods to help guide treatment. The potential role of pH imaging in this...

Descripción completa

Detalles Bibliográficos
Autores principales: Orlowski, Piotr, Chappell, Michael, Park, Chang Sub, Grau, Vicente, Payne, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262437/
https://www.ncbi.nlm.nih.gov/pubmed/22419985
http://dx.doi.org/10.1098/rsfs.2010.0025
_version_ 1782221724304015360
author Orlowski, Piotr
Chappell, Michael
Park, Chang Sub
Grau, Vicente
Payne, Stephen
author_facet Orlowski, Piotr
Chappell, Michael
Park, Chang Sub
Grau, Vicente
Payne, Stephen
author_sort Orlowski, Piotr
collection PubMed
description The identification of salvageable brain tissue is a major challenge at stroke presentation. Standard techniques used in this context, such as the perfusion–diffusion mismatch, remain controversial. There is thus a need for new methods to help guide treatment. The potential role of pH imaging in this context is currently being investigated. Intracellular pH varies as a function of local perfusion, intracellular energy stores and time. Low pH triggers the production of free radicals and affects the calcium balance of the cells, which may lead to apoptosis and cell death. Thus, the characterization of pH dynamics may have predictive value for cell death after stroke, particularly when combined with novel imaging techniques. Therefore, we have extended an existing model of brain cellular metabolism to simulate the pH response of cells to ischaemia. Simulation results for conditions of reduced cerebral blood flow show good agreement for the evolution of intracellular pH with previously reported measurements and encourage the development of quantitative pH imaging to validate the predictive value of pH.
format Online
Article
Text
id pubmed-3262437
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-32624372012-01-31 Modelling of pH dynamics in brain cells after stroke Orlowski, Piotr Chappell, Michael Park, Chang Sub Grau, Vicente Payne, Stephen Interface Focus Articles The identification of salvageable brain tissue is a major challenge at stroke presentation. Standard techniques used in this context, such as the perfusion–diffusion mismatch, remain controversial. There is thus a need for new methods to help guide treatment. The potential role of pH imaging in this context is currently being investigated. Intracellular pH varies as a function of local perfusion, intracellular energy stores and time. Low pH triggers the production of free radicals and affects the calcium balance of the cells, which may lead to apoptosis and cell death. Thus, the characterization of pH dynamics may have predictive value for cell death after stroke, particularly when combined with novel imaging techniques. Therefore, we have extended an existing model of brain cellular metabolism to simulate the pH response of cells to ischaemia. Simulation results for conditions of reduced cerebral blood flow show good agreement for the evolution of intracellular pH with previously reported measurements and encourage the development of quantitative pH imaging to validate the predictive value of pH. The Royal Society 2011-06-06 2011-03-23 /pmc/articles/PMC3262437/ /pubmed/22419985 http://dx.doi.org/10.1098/rsfs.2010.0025 Text en This Journal is © 2011 The Royal Society http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Orlowski, Piotr
Chappell, Michael
Park, Chang Sub
Grau, Vicente
Payne, Stephen
Modelling of pH dynamics in brain cells after stroke
title Modelling of pH dynamics in brain cells after stroke
title_full Modelling of pH dynamics in brain cells after stroke
title_fullStr Modelling of pH dynamics in brain cells after stroke
title_full_unstemmed Modelling of pH dynamics in brain cells after stroke
title_short Modelling of pH dynamics in brain cells after stroke
title_sort modelling of ph dynamics in brain cells after stroke
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262437/
https://www.ncbi.nlm.nih.gov/pubmed/22419985
http://dx.doi.org/10.1098/rsfs.2010.0025
work_keys_str_mv AT orlowskipiotr modellingofphdynamicsinbraincellsafterstroke
AT chappellmichael modellingofphdynamicsinbraincellsafterstroke
AT parkchangsub modellingofphdynamicsinbraincellsafterstroke
AT grauvicente modellingofphdynamicsinbraincellsafterstroke
AT paynestephen modellingofphdynamicsinbraincellsafterstroke