Pratt Adrian C, Wattis Jonathan A D, Salter Andrew M
Division of Nutritional Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UK; Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Math Biosci. 2015 Apr;262:167-81. doi: 10.1016/j.mbs.2014.12.012. Epub 2015 Jan 30.
The aim of this paper is to develop a mathematical model capable of simulating the metabolic response to a variety of mixed meals in fed and fasted conditions with particular emphasis placed on the hepatic triglyceride element of the model. Model validation is carried out using experimental data for the ingestion of three mixed composition meals over a 24-h period. Comparison with experimental data suggests the model predicts key plasma lipids accurately given a prescribed insulin profile. One counter-intuitive observation to arise from simulations is that liver triglyceride initially decreases when a high fat meal is ingested, a phenomenon potentially explained by the carbohydrate portion of the meal raising plasma insulin.
本文的目的是建立一个数学模型，该模型能够模拟在进食和禁食条件下对各种混合餐的代谢反应，尤其着重于模型中的肝脏甘油三酯成分。使用在24小时内摄入三种混合成分餐的实验数据进行模型验证。与实验数据的比较表明，在给定规定的胰岛素曲线的情况下，该模型能够准确预测关键血浆脂质。模拟中出现的一个与直觉相反的观察结果是，摄入高脂肪餐时肝脏甘油三酯最初会下降，这一现象可能是由于餐中的碳水化合物部分提高了血浆胰岛素所致。
