Danciu Diana-Patricia, Klawe Filip Z, Kazarnikov Alexey, Femmer Laura, Kostina Ekaterina, Martin-Villalba Ana, Marciniak-Czochra Anna
Institute for Mathematics, Heidelberg University, Heidelberg, Germany.
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg, Germany.
NPJ Syst Biol Appl. 2025 Jul 26;11(1):82. doi: 10.1038/s41540-025-00563-5.
Adult neurogenesis is defined as the process by which new neurons are produced from neural stem cells in the adult brain. A comprehensive understanding of the mechanisms that regulate this process is essential for the development of effective interventions aimed at decelerating the decline of adult neurogenesis associated with ageing. Mathematical models provide a valuable tool for studying the dynamics of neural stem cells and their lineage, and have revealed alterations in these processes during the ageing process. The present study draws upon experimental data to explore how these processes are modulated by investigating regulatory feedback mechanisms among neural populations through the lens of nonlinear differential equations models. Our observations indicate that the time evolution of the neural lineage is predominantly regulated by neural stem cells, with more differentiated neural populations exerting a comparatively weaker influence. Furthermore, we shed light on the manner in which different subpopulations govern these regulations and gain insights into the impact of specific perturbations on the system.
成体神经发生被定义为成体大脑中神经干细胞产生新神经元的过程。全面了解调节这一过程的机制对于开发旨在减缓与衰老相关的成体神经发生衰退的有效干预措施至关重要。数学模型为研究神经干细胞及其谱系的动态提供了有价值的工具，并揭示了衰老过程中这些过程的变化。本研究利用实验数据，通过非线性微分方程模型来探究神经群体之间的调节反馈机制，从而探索这些过程是如何被调节的。我们的观察结果表明，神经谱系的时间演变主要由神经干细胞调节，而分化程度较高的神经群体施加的影响相对较弱。此外，我们阐明了不同亚群控制这些调节的方式，并深入了解了特定扰动对系统的影响。
