Liu Yuting, Zhou Zhen, Wu Songlin, Ni Gavin, Zhang Alex, Tsimring Lev S, Hasty Jeff, Hao Nan
Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Synthetic Biology Institute, University of California San Diego, La Jolla, CA 92093, USA.
bioRxiv. 2023 Jul 7:2023.07.05.547867. doi: 10.1101/2023.07.05.547867.
Cellular longevity is regulated by both genetic and environmental factors. However, the interactions of these factors in the context of aging remain largely unclear. Here, we formulate a mathematical model for dynamic glucose modulation of a core gene circuit in yeast aging, which not only guided the design of pro-longevity interventions, but also revealed the theoretical principles underlying these interventions. We introduce the dynamical systems theory to capture two general means for promoting longevity - the creation of a stable fixed point in the "healthy" state of the cell and the dynamic stabilization of the system around this healthy state through environmental oscillations. Guided by the model, we investigate how both of these can be experimentally realized by dynamically modulating environmental glucose levels. The results establish a paradigm for theoretically analyzing the trajectories and perturbations of aging that can be generalized to aging processes in diverse cell types and organisms.
细胞寿命受遗传和环境因素的共同调节。然而,这些因素在衰老过程中的相互作用仍 largely 不清楚。在这里,我们构建了一个用于酵母衰老核心基因回路动态葡萄糖调节的数学模型,该模型不仅指导了延长寿命干预措施的设计,还揭示了这些干预措施背后的理论原理。我们引入动力系统理论来捕捉两种促进长寿的一般方法——在细胞的“健康”状态下创建一个稳定的固定点,以及通过环境振荡使系统围绕这个健康状态动态稳定。在该模型的指导下,我们研究了如何通过动态调节环境葡萄糖水平在实验中实现这两种方法。这些结果建立了一个理论分析衰老轨迹和扰动的范式,该范式可推广到不同细胞类型和生物体的衰老过程。