A Lipid-Structured Model of Atherosclerosis with Macrophage Proliferation.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Keith L Chambers, Michael G Watson, Mary R Myerscough
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Abstract

Atherosclerotic plaques are fatty deposits that form in the walls of major arteries and are one of the major causes of heart attacks and strokes. Macrophages are the main immune cells in plaques and macrophage dynamics influence whether plaques grow or regress. Macrophage proliferation is a key process in atherosclerosis, particularly in the development of mid-stage plaques, but very few mathematical models include proliferation. In this paper we reframe the lipid-structured model of Ford et al. (J Theor Biol 479:48-63, 2019. https://doi.org/10.1016/j.jtbi.2019.07.003 ) to account for macrophage proliferation. Proliferation is modelled as a non-local decrease in the lipid structural variable. Steady state analysis indicates that proliferation assists in reducing eventual necrotic core lipid content and spreads the lipid load of the macrophage population amongst the cells. The contribution of plaque macrophages from proliferation relative to recruitment from the bloodstream is also examined. The model suggests that a more proliferative plaque differs from an equivalent (defined as having the same lipid content and cell numbers) recruitment-dominant plaque in the way lipid is distributed amongst the macrophages. The macrophage lipid distribution of an equivalent proliferation-dominant plaque is less skewed and exhibits a local maximum near the endogenous lipid content.

Abstract Image

具有巨噬细胞增殖的动脉粥样硬化脂质结构模型
动脉粥样硬化斑块是在大动脉壁上形成的脂肪沉积,是心脏病发作和中风的主要原因之一。巨噬细胞是斑块中的主要免疫细胞,巨噬细胞的动态变化影响着斑块的生长或消退。巨噬细胞增殖是动脉粥样硬化的一个关键过程,尤其是在中期斑块的发展过程中,但很少有数学模型包括巨噬细胞增殖。在本文中,我们重新构建了福特等人的脂质结构模型(J Theor Biol 479:48-63, 2019. https://doi.org/10.1016/j.jtbi.2019.07.003 ),以考虑巨噬细胞的增殖。增殖被模拟为脂质结构变量的非局部减少。稳态分析表明,增殖有助于减少最终坏死核心的脂质含量,并将巨噬细胞群的脂质负荷分散到各个细胞中。此外,还研究了斑块巨噬细胞增殖相对于从血液中招募的贡献。该模型表明,增殖性较强的斑块与等同(定义为具有相同的脂质含量和细胞数量)的招募为主的斑块在巨噬细胞之间的脂质分布方式上有所不同。等效增殖主导斑块的巨噬细胞脂质分布倾斜度较小,并在内源性脂质含量附近表现出局部最大值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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