Dynamics between key neuroinflammatory components, detrimental M1 and beneficial M2 microglial cells, are not fully understood post-ischemic stroke. To discover, model, and predict these dynamics, we use a method based on sparse identification of nonlinear dynamics (SINDy). The resulting data-driven dynamical system involves constant and linear terms but does not include nonlinear interactions between cells. Results show M2 microglial cell dominance of four days. Forward predictions capture potential long-term dynamics of microglial cells and suggest a persistent inflammatory response.

翻译：在缺血性卒中后，关键神经炎症组分——有害的M1型小胶质细胞与有益的M2型小胶质细胞之间的动态机制尚未完全阐明。为发现、建模并预测这些动态过程，我们采用基于非线性动力学稀疏识别（SINDy）的方法。所构建的数据驱动动力学系统包含常数项和线性项，但未涉及细胞间的非线性相互作用。结果表明M2型小胶质细胞在四天时间内占据主导地位。前向预测捕捉了小胶质细胞潜在的长期动力学特征，提示存在持续性炎症反应。