2022
DOI: 10.48550/arxiv.2205.04715
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A lipid-structured mathematical model of atherosclerosis with macrophage proliferation

Abstract: We extend the lipid-structured model for atherosclerotic plaque development of Ford et al (2019) to account for macrophage proliferation. Proliferation is modelled as a non-local decrease in the lipid structural variable that is similar to the treatment of cell division in size-structured models (e.g. Efendiev et al ( 2018)). Steady state analysis indicates that proliferation assists in reducing eventual necrotic core size and acts to spread the lipid load of the macrophage population amongst the cells. The re… Show more

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Cited by 3 publications
(5 citation statements)
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“…However, experiments show that, although proliferation is more significant in the later stages of plaque development, it is still detectable in early plaques (Robbins et al [34]). The effect of proliferation on lipid accumulation in atherosclerosis is the focus of the model by Chambers et al [18]. Based upon their results, we anticipate that incorporating proliferation into our model will decrease the average lipid burden of the macrophages, opposing the effects of lipid-dependent cell death and emigration.…”
Section: Discussionmentioning
confidence: 81%
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“…However, experiments show that, although proliferation is more significant in the later stages of plaque development, it is still detectable in early plaques (Robbins et al [34]). The effect of proliferation on lipid accumulation in atherosclerosis is the focus of the model by Chambers et al [18]. Based upon their results, we anticipate that incorporating proliferation into our model will decrease the average lipid burden of the macrophages, opposing the effects of lipid-dependent cell death and emigration.…”
Section: Discussionmentioning
confidence: 81%
“…It is not straightforward to analyse the lipid distribution π‘š 𝑗 (𝑑), 𝑗 = 0, 1, … , 𝐽 by directly considering Eqs. ( 16)- (18). In Appendix B we show that closed-form solutions for the steady state values, π‘š ⋆ 𝑗 , 𝑗 = 0, 1, … 𝐽 , can be obtained via the method of generating functions.…”
Section: Macrophage Lipid Distributionmentioning
confidence: 99%
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“…Over the last few decades, many researchers have developed a number of mathematical models of atherosclerosis that can be used to characterize the various stages of atherosclerosis (see [2,6,9,13,20,22,21,26,27,28,31,33] and the references therein), such as inflammation, plaque growth, fibrous cap formation, and interactions between plaque and blood. Almost all of these models recognize the "bad" cholesterol: LDL, which promotes plaque formation, whereas "good" cholesterol: HDL, which inhibits plaque formation during the RCT process.…”
mentioning
confidence: 99%