Pearson Taliesin, Wattis Jonathan A D, King John R, MacDonald Ian A, Mazzatti Dawn J
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
Queen's Medical Centre, University of Nottingham Medical School, Nottingham, NG7 2UH, UK.
Bull Math Biol. 2016 Jun;78(6):1189-217. doi: 10.1007/s11538-016-0181-1. Epub 2016 Jun 15.
Whilst the human body expends energy constantly, the human diet consists of a mix of carbohydrates and fats delivered in a discontinuous manner. To deal with this sporadic supply of energy, there are transport, storage and utilisation mechanisms, for both carbohydrates and fats, around all tissues of the body. Insulin-resistant states such as type 2 diabetes and obesity are characterised by reduced efficiency of these mechanisms. Exactly how these insulin-resistant states develop, for example whether there is an order in which tissues become insulin resistant, is an active area of research with the hope of gaining a better overall understanding of insulin resistance. In this paper, we use a previously derived system of 12 first-order coupled differential equations that describe the transport between, and storage in, different tissues of the human body. We briefly revisit the derivation of the model before parametrising the model to account for insulin resistance. We then solve the model numerically, separately simulating each individual tissue as insulin resistant, and discuss and compare these results, drawing three main conclusions. The implications of these results are in accordance with biological intuition. First, insulin resistance in a tissue creates a knock-on effect on the other tissues in the body, whereby they attempt to compensate for the reduced efficiency of the insulin-resistant tissue. Second, insulin resistance causes a fatty liver, and the insulin resistance of tissues other than the liver can cause fat to accumulate in the liver. Finally, although insulin resistance in individual tissues can cause slightly reduced skeletal muscle metabolic flexibility, it is when the whole body is insulin resistant that the biggest effect on skeletal muscle flexibility is seen.
人体持续消耗能量,而人类饮食由以不连续方式提供的碳水化合物和脂肪混合组成。为了应对这种能量的间歇性供应,人体所有组织周围都存在针对碳水化合物和脂肪的运输、储存和利用机制。胰岛素抵抗状态,如2型糖尿病和肥胖症,其特征是这些机制的效率降低。这些胰岛素抵抗状态究竟是如何发展的,例如组织出现胰岛素抵抗是否存在先后顺序,是一个活跃的研究领域,有望对胰岛素抵抗有更全面的了解。在本文中,我们使用了一个先前推导的由12个一阶耦合微分方程组成的系统,该系统描述了人体不同组织之间的运输以及在这些组织中的储存情况。在对模型进行参数化以考虑胰岛素抵抗之前,我们简要回顾了模型的推导过程。然后我们对模型进行数值求解,分别模拟每个组织出现胰岛素抵抗的情况,并讨论和比较这些结果,得出三个主要结论。这些结果的含义与生物学直觉相符。首先,一个组织中的胰岛素抵抗会对身体其他组织产生连锁反应,其他组织会试图补偿胰岛素抵抗组织效率的降低。其次,胰岛素抵抗会导致脂肪肝,肝脏以外组织的胰岛素抵抗会导致脂肪在肝脏中积累。最后,虽然单个组织中的胰岛素抵抗会导致骨骼肌代谢灵活性略有降低,但只有当全身都出现胰岛素抵抗时,才会对骨骼肌灵活性产生最大影响。