The Degradation and Aging of Biological Systems as a Process of Information Loss and Entropy Increase

Author:

Aristov Vladimir V.1,Karnaukhov Alexey V.2,Buchelnikov Anatoly S.34ORCID,Levchenko Vladimir F.5,Nechipurenko Yury D.4ORCID

Affiliation:

1. Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Vavilova Str. 40, 119333 Moscow, Russia

2. Institute of Cell Biophysics of the Russian Academy of Sciences, Moskovskaya obl., Institutskaya Str. 3, 142290 Pushchino, Russia

3. Laboratory of Molecular and Cellular Biophysics, Sevastopol State University, Universitetskaya Str. 33, 299053 Sevastopol, Russia

4. Laboratory of DNA–Protein Interactions, Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Vavilova Str. 32, 119991 Moscow, Russia

5. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, Russian Federation, Thorez 44, 194223 St. Petersburg, Russia

Abstract

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.

Funder

Program of Fundamental Research in the Russian Federation

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference44 articles.

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5. Aristov, V.V., Buchelnikov, A.S., and Nechipurenko, Y.D. (2022). The Use of the Statistical Entropy in Some New Approaches for the Description of Biosystems. Entropy, 24.

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