A virtual metabolic human model is a valuable complement to experimental biology and clinical studies, because in vivo research involves serious ethical and technical problems. I have proposed a multi-organ and multi-scale kinetic model that formulates the reactions of enzymes and transporters with the regulation of hormonal actions at postprandial and postabsorptive states. The computational model consists of 202 ordinary differential equations for metabolites with 217 reaction rates and 1,140 kinetic parameter constants. It is the most comprehensive, largest, and highly predictive model of the whole-body metabolism. Use of the model revealed the mechanisms by which individual disorders, such as steatosis, β cell dysfunction, and insulin resistance, were combined to cause diabetes. The model predicted a glycerol kinase inhibitor to be an effective medicine for type 2 diabetes, which not only decreased hepatic triglyceride but also reduced plasma glucose. The model also enabled us to rationally design combination therapy.

虚拟代谢人类模型是实验生物学和临床研究的宝贵补充，因为在体内研究涉及严重的道德和技术问题。我提出了一种多器官，多尺度的动力学模型，该模型可以在餐后和吸收后状态下调节酶和转运蛋白的反应，调节激素的作用。该计算模型由202个代谢物的常微分方程组成，具有217个反应速率和1,140个动力学参数常数。它是全身代谢的最全面，最大和最具预测性的模型。该模型的使用揭示了将各种疾病（例如脂肪变性，β细胞功能障碍和胰岛素抵抗）组合在一起导致糖尿病的机制。该模型预测甘油激酶抑制剂将是治疗2型糖尿病的有效药物，该药物不仅可降低肝甘油三酸酯，还可以降低血浆葡萄糖。