Multi-scale modelling of blood flow in sickle cell disease

镰状细胞病血流的多尺度建模

• 批准号: 2576528
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2576528
• 关键词: Multi; scale; modelling; blood; flow

In sickle cell disease (SCD), red blood cells (RBCs) stiffen in deoxygenated conditions, increasing effective blood viscosity and eventually causing complete occlusion of blood vessels, if left untreated. To guide the development of genetic and pharmacological treatment strategies, we need to understand the biophysical processes that lead to vessel occlusion, and how blood properties after treatment affect occlusive risk. To this end, in this project we will quantitatively characterise the factors that contribute to the clogging dynamics of suspensions of deformable and rigid particles in microchannels. Using a fluid-structure interaction code framework called BioFM, we will connect distributions of RBC stiffnesses to effective blood material properties and clogging dynamics. The results will provide new mathematical insight into the connection between heterogeneous particulate properties and emergent non-Newtonian continuum dynamics in non-Brownian suspensions, with applications throughout soft and biological matter. The project will include collaboration with Profs. David Wood (University of Minnesota) and John Higgins (Harvard Medical School), allowing the student to access newly emerging experimental data. Furthermore, the student will learn highly transferable coding, simulation and analytical skills. The project fits into the lead applicant's wider research programme on multi-scale modelling of complex biological systems.Research Areas1. Mathematical Biology 2. Fluid dynamics and aerodynamics 3. Continuum mechanics

在镰状细胞病（SCD）中，红细胞（RBC）在缺氧条件下生长，增加有效血液粘度，如果不治疗，最终导致血管完全闭塞。为了指导遗传和药物治疗策略的发展，我们需要了解导致血管闭塞的生物物理过程，以及治疗后血液特性如何影响闭塞风险。为此，在这个项目中，我们将定量分析的因素，有助于堵塞动力学的悬浮液中的可变形和刚性颗粒的微通道。使用称为BioFM的流体-结构相互作用代码框架，我们将RBC刚度的分布与有效的血液材料特性和堵塞动力学联系起来。这些结果将为非布朗悬浮液中的非均匀颗粒特性和新兴非牛顿连续动力学之间的联系提供新的数学见解，并应用于整个软物质和生物物质。该项目将包括与教授的合作。大卫伍德（明尼苏达大学）和约翰希金斯（哈佛医学院），让学生访问新出现的实验数据。此外，学生将学习高度可转移的编码，模拟和分析技能。该项目配合主要申请人就复杂生物系统的多尺度建模进行的更广泛研究计划。数学生物学2流体动力学和空气动力学3。连续介质力学