STABLE STATES OF BIOLOGICAL ORGANISMS

V. Yukalov, D. Sornette, E. P. Yukalova, J. Henry, J. Cobb
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引用次数: 3

Abstract

A novel model of biological organisms is advanced, treating an organism as a self-consistent system subject to a pathogen flux. The principal novelty of the model is that it describes not some parts, but a biological organism as a whole. The organism is modeled by a five-dimensional dynamical system. The organism homeostasis is described by the evolution equations for five interacting components: healthy cells, ill cells, innate immune cells, specific immune cells, and pathogens. The stability analysis demonstrates that, in a wide domain of the parameter space, the system exhibits robust structural stability. There always exist four stable stationary solutions characterizing four qualitatively differing states of the organism: alive state, boundary state, critical state, and dead state.
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生物有机体的稳定状态
提出了一种新的生物有机体模型,将生物体视为受病原体通量影响的自洽系统。该模型的主要新颖之处在于它描述的不是某些部分,而是整个生物有机体。这个有机体是用一个五维动力系统来模拟的。机体内稳态由健康细胞、病态细胞、先天免疫细胞、特异性免疫细胞和病原体这五个相互作用的组成部分的进化方程来描述。稳定性分析表明,在较宽的参数空间范围内,系统具有鲁棒的结构稳定性。生物体的四种不同的状态,即活态、边界态、临界态和死态,始终存在四个稳定的稳态解。
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