Ben Guebila Marouen, Thiele Ines
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
School of Medicine, National University of Ireland, Galway, Ireland.
Nat Comput Sci. 2021 May;1(5):348-361. doi: 10.1038/s43588-021-00074-3. Epub 2021 May 24.
Type 1 diabetes (T1D) mellitus is a systemic disease triggered by a local autoimmune inflammatory reaction in insulin-producing cells that induce organ-wide, long-term metabolic effects. Mathematical modeling of the whole-body regulatory bihormonal system has helped to identify therapeutic interventions but is limited to a coarse-grained representation of metabolism. To extend the depiction of T1D, we developed a whole-body model of organ-specific regulation and metabolism that highlighted chronic inflammation as a hallmark of the disease, identified processes related to neurodegenerative disorders and suggested calcium channel blockers as adjuvants for diabetes control. In addition, whole-body modeling of a patient population allowed for the assessment of between-individual variability to insulin and suggested that peripheral glucose levels are degenerate biomarkers of the internal metabolic state. Taken together, the organ-resolved, dynamic modeling approach enables modeling and simulation of metabolic disease at greater levels of coverage and precision and the generation of hypothesis from a molecular level up to the population level.
1型糖尿病(T1D)是一种由胰岛素生成细胞中的局部自身免疫性炎症反应引发的全身性疾病,该反应会导致全身长期的代谢效应。全身调节双激素系统的数学建模有助于确定治疗干预措施,但仅限于对代谢的粗粒度表示。为了扩展对T1D的描述,我们开发了一个全身器官特异性调节和代谢模型,该模型突出了慢性炎症作为该疾病的标志,确定了与神经退行性疾病相关的过程,并建议将钙通道阻滞剂作为糖尿病控制的佐剂。此外,对患者群体的全身建模允许评估个体对胰岛素的变异性,并表明外周血糖水平是内部代谢状态的退化生物标志物。综上所述,这种器官解析的动态建模方法能够在更高的覆盖范围和精度水平上对代谢疾病进行建模和模拟,并从分子水平到群体水平生成假设。