论文标题
一个全身多尺度数学模型,用于对人的代谢动态模拟
A whole-body multi-scale mathematical model for dynamic simulation of the metabolism in man
论文作者
论文摘要
我们提出了人类代谢的全身模型以及建模代谢网络的通用方法。使用这种方法,我们能够以系统和紧凑的方式编写大型代谢网络。我们使用三种大量营养素,碳水化合物,蛋白质和脂质的代谢的全身模型演示了这种方法。该模型包含7个器官,16个代谢产物和31个酶促反应。 Michaelis-Menten动力学描述了所有反应速率,并基于两种激素胰岛素和胰高血糖素的荷尔蒙调节剂。我们结合食物,以模拟饲料快速周期中的代谢产物浓度。由于包括储存形式(糖原,肌肉蛋白和脂质液滴),该模型可以模拟几天,如果未定期摄入食物,则可能会耗尽。结合复杂细胞代谢和全身质量动力学的生理模型可用于虚拟临床试验。这些试验可用于改善医学的发展,治疗策略,例如对照算法,并增加成功临床试验的可能性。
We propose a whole-body model of the metabolism in man as well as a generalized approach for modeling metabolic networks. Using this approach, we are able to write a large metabolic network in a systematic and compact way. We demonstrate the approach using a whole-body model of the metabolism of the three macronutrients, carbohydrates, proteins and lipids. The model contains 7 organs, 16 metabolites and 31 enzymatic reactions. All reaction rates are described by Michaelis-Menten kinetics with an addition of a hormonal regulator based on the two hormones insulin and glucagon. We incorporate ingestion of food in order to simulate metabolite concentrations during the feed-fast cycle. The model can simulate several days due to the inclusion of storage forms (glycogen, muscle protein and lipid droplets), that can be depleted if food is not ingested regularly. A physiological model incorporating complex cellular metabolism and whole-body mass dynamics can be used in virtual clinical trials. Such trials can be used to improve the development of medicine, treatment strategies such as control algorithms, and increase the likelihood of a successful clinical trial.