Key result
A mathematical simulation of inflammation dynamics in the core of myocardial infarction demonstrated qualitative and quantitative agreement with laboratory data from a mouse model.
A mathematical model of inflammation dynamics in myocardial infarction was developed and validated against a mouse model, providing a computational tool for studying post-infarction inflammation.
May facilitate in silico modeling of post-MI inflammation; leaves open human translation.
Mathematical simulation is carried out of the dynamics of an acute inflammatory process in the central zone of necrotic myocardial damage. Some mathematical model of the dynamics of the monocyte-macrophages and cytokines is presented and the numerical algorithm is developed for solving an inverse coefficient problem for a stiff nonlinear system of ordinary differential equations (ODEs). The methodological studies showed that the solution obtained by the genetic BGA algorithm agrees well with the solutions obtained by the gradient and ravine methods. Adequacy of the simulation results is confirmed by their qualitative and quantitative agreement with the laboratory data on the dynamics of inflammatory process in the case of infarction in the left ventricle of the heart of a mouse.
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Воропаева et al. (2019) studied Myocardial infarction. Mathematical simulation of inflammation dynamics was evaluated on Agreement of simulation results with laboratory data. A mathematical simulation of inflammation dynamics in the core of myocardial infarction demonstrated qualitative and quantitative agreement with laboratory data from a mouse model.
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