Department of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University Jena, Ernst-Abbe-Pl. 2, 07743 Jena, Germany.
Department of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University Jena, Ernst-Abbe-Pl. 2, 07743 Jena, Germany.
Curr Opin Biotechnol. 2021 Apr;68:282-291. doi: 10.1016/j.copbio.2021.03.003. Epub 2021 Mar 23.
In this review, we summarize and briefly discuss various approaches to modeling the metabolism in human immune cells, with a focus on energy metabolism. These approaches include metabolic reconstruction, elementary modes, and flux balance analysis, which are often subsumed under constraint-based modeling. Further approaches are evolutionary game theory and kinetic modeling. Many immune cells such as macrophages show the Warburg effect, meaning that glycolysis is upregulated upon activation. We outline a minimal model for explaining that effect using optimization. The effect of a confrontation with pathogen cells on immunometabolism is highlighted. Models describing the differences between M1 and M2 macrophages, ROS production in neutrophils, and tryptophan metabolism are discussed. Obstacles and future prospects are outlined.
在这篇综述中，我们总结并简要讨论了各种建模人类免疫细胞代谢的方法，重点关注能量代谢。这些方法包括代谢重建、基本模式和通量平衡分析，它们通常被归入基于约束的建模。进一步的方法是进化博弈论和动力学建模。许多免疫细胞，如巨噬细胞，表现出瓦博格效应，即糖酵解在激活时上调。我们使用优化方法概述了一个解释该效应的最小模型。强调了与病原体细胞对抗时对免疫代谢的影响。讨论了描述 M1 和 M2 巨噬细胞之间差异、中性粒细胞中 ROS 产生和色氨酸代谢的模型。概述了障碍和未来展望。
