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Population dynamics model for aging.
Demongeot, Jacques; Magal, Pierre.
Afiliación
  • Demongeot J; Université Grenoble Alpes, AGEIS EA7407, F-38700 La Tronche, France.
  • Magal P; University of Bordeaux, IMB, UMR 5251, F-33400 Talence, France. CNRS, IMB, UMR 5251, F-33400 Talence, France.
Math Biosci Eng ; 20(11): 19636-19660, 2023 Oct 26.
Article en En | MEDLINE | ID: mdl-38052618
ABSTRACT
The chronological age used in demography describes the linear evolution of the life of a living being. The chronological age cannot give precise information about the exact developmental stage or aging processes an organism has reached. On the contrary, the biological age (or epigenetic age) represents the true evolution of the tissues and organs of the living being. Biological age is not always linear and sometimes proceeds by discontinuous jumps. These jumps can be negative (we then speak of rejuvenation) or positive (in the event of premature aging), and they can be dependent on endogenous events such as pregnancy (negative jump) or stroke (positive jump) or exogenous ones such as surgical treatment (negative jump) or infectious disease (positive jump). The article proposes a mathematical model of the biological age by defining a valid model for the two types of jumps (positive and negative). The existence and uniqueness of the solution are solved, and its temporal dynamic is analyzed using a moments equation. We also provide some individual-based stochastic simulations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Biológicos Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Biológicos Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: Francia