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A step toward precision gerontology: Lifespan effects of calorie and protein restriction are consistent with predicted impacts on entropy generation.
Semerciöz-Oduncuoglu, Ayse Selcen; Mitchell, Sharon E; Özilgen, Mustafa; Yilmaz, Bayram; Speakman, John R.
Afiliación
  • Semerciöz-Oduncuoglu AS; Department of Food Engineering, Faculty of Engineering, Yeditepe University, Istanbul 34755, Turkey.
  • Mitchell SE; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 2TZ, Scotland, UK.
  • Özilgen M; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 2TZ, Scotland, UK.
  • Yilmaz B; Department of Food Engineering, Faculty of Engineering, Yeditepe University, Istanbul 34755, Turkey.
  • Speakman JR; Department of Physiology, Faculty of Medicine, Yeditepe University, Istanbul 34755, Turkey.
Proc Natl Acad Sci U S A ; 120(37): e2300624120, 2023 09 12.
Article en En | MEDLINE | ID: mdl-37669389
ABSTRACT
Understanding aging is a key biological goal. Precision gerontology aims to predict how long individuals will live under different treatment scenarios. Calorie and protein restriction (CR and PR) extend lifespan in many species. Using data from C57BL/6 male mice under graded CR or PR, we introduce a computational thermodynamic model for entropy generation, which predicted the impact of the manipulations on lifespan. Daily entropy generation decreased significantly with increasing CR level, but not PR. Our predictions indicated the lifespan of CR mice should increase by 13 to 56% with 10 to 40% CR, relative to ad libitum-fed animals. This prediction was broadly consistent with the empirical observation of the lifespan impacts of CR in rodents. Modeling entropy fluxes may be a future strategy to identify antiaging interventions.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Geriatría / Longevidad Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Turquía

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Geriatría / Longevidad Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Turquía