Marinković Tijana, Orešič Matej
Steno Diabetes Center A/S, DK-2820 Gentofte, Denmark.
Steno Diabetes Center A/S, DK-2820 Gentofte, Denmark; Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.
Arch Biochem Biophys. 2016 Jan 1;589:131-7. doi: 10.1016/j.abb.2015.08.011. Epub 2015 Aug 24.
Seroconversion to islet autoimmunity is preceded by metabolic disturbances in children who later progress to overt type 1 diabetes (T1D). The underlying metabolic pathways and the interaction of metabolic and immune system factors involved in progression to the disease are however poorly understood. There is a clear need for mathematical models which capture the temporal and spatial complexity of early pathogenesis of T1D. Here we review the early attempts to model the development of islet autoimmunity and T1D, including the models which emphasize the potential beneficial role of autoimmune response in specific circumstances, such as to 'correct' for the early metabolic disturbances. We also highlight the genome-scale metabolic modeling as a promising new avenue to study metabolism and its interactions with the immune system in T1D.
在后来发展为显性1型糖尿病(T1D)的儿童中,胰岛自身免疫血清学转换之前存在代谢紊乱。然而,对于疾病进展过程中涉及的潜在代谢途径以及代谢和免疫系统因素之间的相互作用,我们了解甚少。显然需要数学模型来捕捉T1D早期发病机制的时间和空间复杂性。在这里,我们回顾了早期对胰岛自身免疫和T1D发展进行建模的尝试,包括那些强调自身免疫反应在特定情况下可能具有有益作用的模型,比如“纠正”早期代谢紊乱。我们还强调了基因组规模代谢建模是研究T1D中代谢及其与免疫系统相互作用的一个有前景的新途径。