Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling

Restoration of an adequate cerebral blood supply after an ischemic attack is a primary clinical goal. However, the blood–brain barrier may break down after a prolonged ischemia causing the fluid in the blood plasma to filtrate and accumulate into the cerebral tissue interstitial space. Accumulation...

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Main Authors: Mohd Jamil Mohamed, Mokhtarudin, Payne, S. J.
Format: Article
Language:English
Published: Elsevier Ltd 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8804/
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spelling ump-88042018-08-29T03:17:02Z http://umpir.ump.edu.my/id/eprint/8804/ Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling Mohd Jamil Mohamed, Mokhtarudin Payne, S. J. TJ Mechanical engineering and machinery Restoration of an adequate cerebral blood supply after an ischemic attack is a primary clinical goal. However, the blood–brain barrier may break down after a prolonged ischemia causing the fluid in the blood plasma to filtrate and accumulate into the cerebral tissue interstitial space. Accumulation of this filtration fluid causes the cerebral tissue to swell, a condition known as vasogenic oedema. Tissue swelling causes the cerebral microvessels to be compressed, which may further obstruct the blood flow into the tissue, thus leading to the no-reflow phenomenon or a secondary ischemic stroke. The actual mechanism of this however is still not fully understood. A new model is developed here to study the effect of reperfusion on the formation of vasogenic oedema and cerebral microvessel collapse. The formation of vasogenic oedema is modelled using the capillary filtration equation while vessel collapse is modelled using the tube law of microvessel. Tissue swelling is quantified in terms of displacement, which is modelled using poroelastic theory. The results show that there is an increase in tissue displacement and interstitial pressure after reperfusion. In addition, the results also show that vessel collapse can occur at high value of reperfusion pressure, low blood osmotic pressure, high cerebral capillary permeability and low cerebral capillary stiffness. This model provides insight on the formation of ischemia–reperfusion injury by tissue swelling and vessel collapse. Elsevier Ltd 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8804/1/fkm-2015-Mokhtarudin-Mathematical%20Model-abs.pdf Mohd Jamil Mohamed, Mokhtarudin and Payne, S. J. (2015) Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling. Mathematical Biosciences, 263. pp. 111-120. ISSN 0025-5564 http://dx.doi.org/10.1016/j.mbs.2015.02.011 DOI: 10.1016/j.mbs.2015.02.011
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd Jamil Mohamed, Mokhtarudin
Payne, S. J.
Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
description Restoration of an adequate cerebral blood supply after an ischemic attack is a primary clinical goal. However, the blood–brain barrier may break down after a prolonged ischemia causing the fluid in the blood plasma to filtrate and accumulate into the cerebral tissue interstitial space. Accumulation of this filtration fluid causes the cerebral tissue to swell, a condition known as vasogenic oedema. Tissue swelling causes the cerebral microvessels to be compressed, which may further obstruct the blood flow into the tissue, thus leading to the no-reflow phenomenon or a secondary ischemic stroke. The actual mechanism of this however is still not fully understood. A new model is developed here to study the effect of reperfusion on the formation of vasogenic oedema and cerebral microvessel collapse. The formation of vasogenic oedema is modelled using the capillary filtration equation while vessel collapse is modelled using the tube law of microvessel. Tissue swelling is quantified in terms of displacement, which is modelled using poroelastic theory. The results show that there is an increase in tissue displacement and interstitial pressure after reperfusion. In addition, the results also show that vessel collapse can occur at high value of reperfusion pressure, low blood osmotic pressure, high cerebral capillary permeability and low cerebral capillary stiffness. This model provides insight on the formation of ischemia–reperfusion injury by tissue swelling and vessel collapse.
format Article
author Mohd Jamil Mohamed, Mokhtarudin
Payne, S. J.
author_facet Mohd Jamil Mohamed, Mokhtarudin
Payne, S. J.
author_sort Mohd Jamil Mohamed, Mokhtarudin
title Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
title_short Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
title_full Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
title_fullStr Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
title_full_unstemmed Mathematical Model of the Effect of Ischemia–reperfusion on Brain Capillary Collapse and Tissue Swelling
title_sort mathematical model of the effect of ischemia–reperfusion on brain capillary collapse and tissue swelling
publisher Elsevier Ltd
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/8804/
http://umpir.ump.edu.my/id/eprint/8804/
http://umpir.ump.edu.my/id/eprint/8804/
http://umpir.ump.edu.my/id/eprint/8804/1/fkm-2015-Mokhtarudin-Mathematical%20Model-abs.pdf
first_indexed 2023-09-18T22:06:46Z
last_indexed 2023-09-18T22:06:46Z
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