School of Mathematics and Statistics, University of New South Wales, Kensington, NSW, 2052, Australia.
Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, Oxfordshire, OX2 6GG, UK.
Bull Math Biol. 2023 Aug 15;85(9):85. doi: 10.1007/s11538-023-01193-w.
Atherosclerotic plaques are fatty growths in artery walls that cause heart attacks and strokes. Plaque formation is driven by macrophages that are recruited to the artery wall. These cells consume and remove blood-derived lipids, such as modified low-density lipoprotein. Ineffective lipid removal, due to macrophage death and other factors, leads to the accumulation of lipid-loaded macrophages and formation of a necrotic lipid core. Experimental observations suggest that macrophage functionality varies with the extent of lipid loading. However, little is known about the influence of macrophage lipid loads on plaque fate. Extending work by Ford et al. (J Theor Biol 479:48-63, 2019) and Chambers et al. (A lipid-structured model of atherosclerosis with macrophage proliferation, 2022), we develop a plaque model where macrophages are structured by their ingested lipid load and behave in a lipid-dependent manner. The model considers several macrophage behaviours, including recruitment to and emigration from the artery wall; proliferation and apotosis; ingestion of plaque lipids; and secondary necrosis of apoptotic cells. We consider apoptosis, emigration and proliferation to be lipid-dependent and we model these effects using experimentally informed functions of the internalised lipid load. Our results demonstrate that lipid-dependent macrophage behaviour can substantially alter plaque fate by changing both the total quantity of lipid in the plaque and the distribution of lipid between the live cells, dead cells and necrotic core. The consequences of macrophage lipid-dependence are often unpredictable because lipid-dependent effects introduce subtle, nonlinear interactions between the modelled cell behaviours. These observations highlight the importance of mathematical modelling in unravelling the complexities of macrophage lipid accumulation during atherosclerotic plaque formation.
动脉粥样硬化斑块是动脉壁中脂肪生长物,可导致心脏病发作和中风。斑块的形成是由被招募到动脉壁的巨噬细胞驱动的。这些细胞消耗并清除血液衍生的脂质,如修饰的低密度脂蛋白。由于巨噬细胞死亡和其他因素,脂质清除无效,导致负载脂质的巨噬细胞积累并形成坏死的脂质核心。实验观察表明,巨噬细胞的功能随脂质负荷的程度而变化。然而,对于巨噬细胞脂质负荷对斑块命运的影响知之甚少。在 Ford 等人的工作(J Theor Biol 479:48-63, 2019)和 Chambers 等人的工作(Atherosclerosis with macrophage proliferation 的脂质结构模型,2022)的基础上,我们开发了一种斑块模型,其中巨噬细胞根据其摄入的脂质负荷进行结构组织,并以脂质依赖性方式表现。该模型考虑了几种巨噬细胞行为,包括招募到动脉壁和从动脉壁迁出;增殖和细胞凋亡;摄取斑块脂质;以及凋亡细胞的继发性坏死。我们认为细胞凋亡、迁出和增殖依赖于脂质,并且我们使用内化脂质负荷的实验信息函数来模拟这些效应。我们的结果表明,脂质依赖性巨噬细胞行为可以通过改变斑块中的总脂质量以及活细胞、死细胞和坏死核心之间的脂质分布来显著改变斑块命运。巨噬细胞脂质依赖性的后果通常是不可预测的,因为脂质依赖性效应在建模的细胞行为之间引入了微妙的非线性相互作用。这些观察结果强调了数学建模在揭示动脉粥样硬化斑块形成过程中巨噬细胞脂质积累的复杂性方面的重要性。