Nonautonomous Dynamics of Acute Cell Injury
Donald J. DeGracia, Doaa Taha, Fika Tri Anggraini, Zhi-Feng Huang

TL;DR
This paper develops a nonautonomous nonlinear dynamic model of acute cell injury, revealing transient states and a latent stress response capacity that can inform therapeutic strategies for conditions like stroke and heart attack.
Contribution
It extends an existing autonomous model to a nonautonomous framework, highlighting transient dynamics and introducing the concept of latent stress response capacity in injured cells.
Findings
Identification of four qualitative dynamical patterns post-injury
Prediction of latent stress response capacity (LSRC) in injured cells
Theoretical explanation for how therapies like hypothermia prevent cell death
Abstract
Medical conditions due to acute cell injury, such as stroke and heart attack, are of tremendous impact and have attracted huge amounts of research effort. The biomedical research that seeks cures for these conditions has been dominated by a qualitative, inductive mindset. Although the inductive approach has not been effective in developing medical treatments, it has amassed enough information to allow construction of quantitative, deductive models of acute cell injury. In this work we develop a modeling approach by extending an autonomous nonlinear dynamic theory of acute cell injury that offered new ways to conceptualize cell injury but possessed limitations that decrease its effectiveness. Here we study the global dynamics of the cell injury theory using a nonautonomous formulation. Different from the standard scenario in nonlinear dynamics that is determined by the steady state and…
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