UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Computational Modelling of Blood Flow in Sickle Cell Disease

Wierzchleyski, Leszek Kazimierz; (2024) Computational Modelling of Blood Flow in Sickle Cell Disease. Masters thesis (M.Phil), UCL (University College London). Green open access

[thumbnail of Wierzchleyski_Thesis.pdf]
Preview
Text
Wierzchleyski_Thesis.pdf - Other

Download (5MB) | Preview

Abstract

Sickle Cell Disease is a genetic condition in which red blood cells become stiff and misshapen. This in turn causes blockages in blood vessels which leads to oxygen deprivation to different organs, with potentially lethal consequences. Recent experimental observations have shown significant heterogeneity in the properties of red blood cells within blood samples from patients with Sickle Cell Disease. Here, we investigate how such cell property distributions lead to different blood flow rheologies. We show that in mixtures of stiffened and healthy cells, stiffer cells tend to migrate towards vessel walls, in agreement with previous findings. Furthermore, we investigate the role of cell shape in homogeneous mixtures of cells. We find that stiffened cells which retain a biconcave disc shape lead to a higher effective blood flow viscosity than those which deform into a spherical shape; this contrasts with deformable cells, which show the opposite behaviour. We suggest that this is because when stiffened, biconcave cells tend to lie closer to the vessel wall than spherical cells, and thus increase effective friction. These results inform our understanding of how cell stiffness and shape affect blood rheology in Sickle Cell Disease.

Type: Thesis (Masters)
Qualification: M.Phil
Title: Computational Modelling of Blood Flow in Sickle Cell Disease
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2022. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10186796
Downloads since deposit
3,384Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item