Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Group of Bioengineering in Regeneration and Cancer, Biogipuzkoa Health Research Institute, San Sebastian, Spain.
PLoS One. 2024 Jun 11;19(6):e0304694. doi: 10.1371/journal.pone.0304694. eCollection 2024.
We propose a 3D stochastic cellular automaton model, governed by evolutionary game theory, to simulate bone remodeling dynamics. The model includes four voxel states: Formation, Quiescence, Resorption, and Environment. We simulate the Resorption and Formation processes on separate time scales to explore the parameter space and derive a phase diagram that illustrates the sensitivity of these processes to parameter changes. Combining these results, we simulate a full bone remodeling cycle. Furthermore, we show the importance of modeling small neighborhoods for studying local bone microenvironment controls. This model can guide experimental design and, in combination with other models, it could assist to further explore external impacts on bone remodeling. Consequently, this model contributes to an improved understanding of complex dynamics in bone remodeling dynamics and exploring alterations due to disease or drug treatment.
我们提出了一个基于进化博弈论的三维随机细胞自动机模型来模拟骨重建动力学。该模型包括四个体素状态:形成、静止、吸收和环境。我们在不同的时间尺度上模拟吸收和形成过程,以探索参数空间,并得出一个相图,说明这些过程对参数变化的敏感性。结合这些结果,我们模拟了一个完整的骨重建周期。此外,我们还展示了对小邻域进行建模以研究局部骨微环境控制的重要性。该模型可以指导实验设计,并且与其他模型结合使用,可以帮助进一步探索对骨重建的外部影响。因此,该模型有助于更好地理解骨重建动力学中的复杂动力学,并探索疾病或药物治疗引起的变化。