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Lipid Raft Size and Lipid Mobility in Non-raft Domains Increase during Aging and Are Exacerbated in APP/PS1 Mice Model of Alzheimer's Disease. Predictions from an Agent-Based Mathematical Model

机译:非筏域中的脂质筏大小和脂质流动性在衰老过程中增加,并且在阿尔茨海默氏病的APP / PS1小鼠模型中加剧。基于主体的数学模型的预测

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摘要

A connection between lipid rafts and Alzheimer's disease has been studied during the last decades. Mathematical modeling approaches have recently been used to correlate the effects of lipid composition changes in the physicochemical properties of raft-like membranes. Here we propose an agent based model to assess the effect of lipid changes in lipid rafts on the evolution and progression of Alzheimer's disease using lipid profile data obtained in an established model of familial Alzheimer's disease. We have observed that lipid raft size and lipid mobility in non-raft domains are two main factors that increase during age and are accelerated in the transgenic Alzheimer's disease mouse model. The consequences of these changes are discussed in the context of neurotoxic amyloid β production. Our agent based model predicts that increasing sterols (mainly cholesterol) and long-chain polyunsaturated fatty acids (LCPUFA) (mainly DHA, docosahexaenoic acid) proportions in the membrane composition might delay the onset and progression of the disease.
机译:在过去的几十年中,研究了脂筏与阿尔茨海默氏病之间的联系。最近已使用数学建模方法来关联脂质成分变化对筏状膜物理化学性质的影响。在这里,我们提出了一种基于代理的模型,使用在家族性阿尔茨海默氏病模型中获得的脂质谱数据,评估脂质筏中脂质变化对阿尔茨海默氏病进化和进展的影响。我们已经观察到脂质筏的大小和非筏域中的脂质流动性是两个主要因素,它们随着年龄的增长而增加,并在转基因阿尔茨海默氏病小鼠模型中加速。这些变化的后果在神经毒性淀粉样蛋白β产生的背景下进行了讨论。我们基于药剂的模型预测,膜成分中固醇(主要为胆固醇)和长链多不饱和脂肪酸(LCPUFA)(主要为DHA,二十二碳六烯酸)的比例增加可能会延迟疾病的发作和进展。

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