The effect of stiffened diabetic red blood cells on wall shear stress in a reconstructed 3D microaneurysm.


Journal

Computer methods in biomechanics and biomedical engineering
ISSN: 1476-8259
Titre abrégé: Comput Methods Biomech Biomed Engin
Pays: England
ID NLM: 9802899

Informations de publication

Date de publication:
Nov 2022
Historique:
pubmed: 25 2 2022
medline: 1 11 2022
entrez: 24 2 2022
Statut: ppublish

Résumé

Blood flow within the vasculature of the retina has been found to influence the progression of diabetic retinopathy. In this research cell resolved blood flow simulations are used to study the pulsatile flow of whole blood through a segmented retinal microaneurysm. Images were collected using adaptive optics optical coherence tomography of the retina of a patient with diabetic retinopathy, and a sidewall (sacciform) microaneurysm was segmented from the volumetric data. The original microaneurysm neck width was varied to produce two additional aneurysm geometries in order to probe the influence of neck width on the transport of red blood cells and platelets into the aneurysm. Red blood cell membrane stiffness was also increased to resolve the impact of rigid red blood cells, as a result of diabetes, in blood flow. Wall shear stress and wall shear stress gradients were calculated throughout the aneurysm domains, and the quantification of the influence of the red blood cells is presented. Average wall shear stress and wall shear stress gradients increased due to the increase of red blood cell membrane stiffness. Stiffened red blood cells were also found to induce higher local wall shear stress and wall shear stress gradients as they passed through the leading and draining parental vessels. Stiffened red blood cells were found to penetrate the aneurysm sac more than healthy red blood cells, as well as decreasing the margination of platelets to the vessel walls of the parental vessel, which caused a decrease in platelet penetration into the aneurysm sac.

Identifiants

pubmed: 35199620
doi: 10.1080/10255842.2022.2034794
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1691-1709

Auteurs

Benjamin Czaja (B)

Computational Science Lab, Faculty of Science, Institute for Informatics, University of Amsterdam, Amsterdam, Netherlands.

Jonathan de Bouter (J)

Computational Science Lab, Faculty of Science, Institute for Informatics, University of Amsterdam, Amsterdam, Netherlands.

Morgan Heisler (M)

School of Engineering Science, Faculty of Applied Sciences, Simon Fraser University, Burnaby, BC, Canada.

Gábor Závodszky (G)

Computational Science Lab, Faculty of Science, Institute for Informatics, University of Amsterdam, Amsterdam, Netherlands.
Department of Hydrodynamic Systems, Budapest University of Technology and Economics, Budapest, Hungary.

Sonja Karst (S)

Department of Ophthalmology and Optometry, Medical University Vienna, Vienna, Austria.

Marinko Sarunic (M)

School of Engineering Science, Faculty of Applied Sciences, Simon Fraser University, Burnaby, BC, Canada.

David Maberley (D)

Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada.

Alfons Hoekstra (A)

Computational Science Lab, Faculty of Science, Institute for Informatics, University of Amsterdam, Amsterdam, Netherlands.

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Classifications MeSH