Abstraction and Idealization in Biomedicine: The Nonautonomous Theory of Acute Cell Injury.
Abstraction and Idealization in Biomedicine: The Nonautonomous Theory of Acute Cell Injury.
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DOI：
10.3390/brainsci8030039
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发表时间：
2018-02-27
期刊：
影响因子：
3.3
通讯作者：
Huang ZF
中科院分区：
文献类型：
--
作者：
DeGracia DJ;Taha D;Tri Anggraini F;Sutariya S;Rababeh G;Huang ZF
神经保护试图阻止脑缺血后的细胞死亡，并已在实验室研究中证明是可能的。然而，神经保护尚未成功地转化为临床实践，尽管大量的研究和对照临床试验。我们认为，这些失败可能是由于，至少部分是由于缺乏细胞损伤的一般理论来指导对特定损伤的研究。急性细胞损伤的非线性动力学理论的引入改善了这一状况。在这里，我们提出了一个修订的非自治的非线性理论的急性细胞损伤，并显示如何解释其解决方案的急性生物医学损伤。理论解决方案证明了理想化急性损伤后可能结果的复杂性，并表明“一刀切”的治疗不太可能成功。这一结论被以下事实所抵消：该理论可以（1）确定细胞在特定的急性损伤下是否有存活的可能性，以及（2）计算导致存活所需的治疗程度。为了理解这些结论，有必要将复杂的物理系统理想化和抽象化，以确定控制损伤动力学的基本机制。生物医学研究中的抽象和理想化路径为可能达到工程精度水平的医学治疗开辟了可能性。
Neuroprotection seeks to halt cell death after brain ischemia and has been shown to be possible in laboratory studies. However, neuroprotection has not been successfully translated into clinical practice, despite voluminous research and controlled clinical trials. We suggested these failures may be due, at least in part, to the lack of a general theory of cell injury to guide research into specific injuries. The nonlinear dynamical theory of acute cell injury was introduced to ameliorate this situation. Here we present a revised nonautonomous nonlinear theory of acute cell injury and show how to interpret its solutions in terms of acute biomedical injuries. The theory solutions demonstrate the complexity of possible outcomes following an idealized acute injury and indicate that a “one size fits all” therapy is unlikely to be successful. This conclusion is offset by the fact that the theory can (1) determine if a cell has the possibility to survive given a specific acute injury, and (2) calculate the degree of therapy needed to cause survival. To appreciate these conclusions, it is necessary to idealize and abstract complex physical systems to identify the fundamental mechanism governing the injury dynamics. The path of abstraction and idealization in biomedical research opens the possibility for medical treatments that may achieve engineering levels of precision.
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