Aristov Vladimir V, Karnaukhov Alexey V, Buchelnikov Anatoly S, Levchenko Vladimir F, Nechipurenko Yury D
Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Vavilova Str. 40, 119333 Moscow, Russia.
Institute of Cell Biophysics of the Russian Academy of Sciences, Moskovskaya obl., Institutskaya Str. 3, 142290 Pushchino, Russia.
Entropy (Basel). 2023 Jul 15;25(7):1067. doi: 10.3390/e25071067.
The problem of the degradation and aging of bioorganisms is herein considered from the viewpoint of statistical physics. Two typical timescales in biological systems-the time of metabolic processes and the time of the life cycle-are used. A kinetic equation describing the small timescales of the systems' characteristic processes in is proposed. Maintaining a biosystem in a time-stable state requires a constant inflow of negative entropy (negentropy). Ratios are proposed to evaluate the aging and degradation of systems in terms of entropy. As an example, the aging of the epithelium is studied. The connection of our approach to the information theory of aging is discussed, as well as theoretical constructions related to the concept of cooperon and its changing with time.
本文从统计物理学的角度探讨生物有机体的退化和衰老问题。使用了生物系统中的两个典型时间尺度——代谢过程的时间和生命周期的时间。提出了一个描述系统特征过程小时间尺度的动力学方程。要使生物系统保持在时间稳定状态，需要持续输入负熵。提出了用熵来评估系统衰老和退化的比率。作为一个例子，研究了上皮细胞的衰老。讨论了我们的方法与衰老信息理论的联系，以及与协同子概念及其随时间变化相关的理论构建。
