Nutritional strategies to optimise cognitive function in the aging brain

Devin Wahl, Victoria C. Cogger, Samantha M. Solon-Biet, Rosilene V R Waern, Rahul Gokarn, Tamara Pulpitel, Rafael de Cabo, Mark P. Mattson, David Raubenheimer, Stephen J. Simpson, David G. Le Couteur

Research output: Contribution to journalReview article

Abstract

Old age is the greatest risk factor for most neurodegenerative diseases. During recent decades there have been major advances in understanding the biology of aging, and the development of nutritional interventions that delay aging including calorie restriction (CR) and intermittent fasting (IF), and chemicals that influence pathways linking nutrition and aging processes. CR influences brain aging in many animal models and recent findings suggest that dietary interventions can influence brain health and dementia in older humans. The role of individual macronutrients in brain aging also has been studied, with conflicting results about the effects of dietary protein and carbohydrates. A new approach known as the Geometric Framework (GF) has been used to unravel the complex interactions between macronutrients (protein, fat, and carbohydrate) and total energy on outcomes such as aging. These studies have shown that low-protein, high-carbohydrate (LPHC) diets are optimal for lifespan in ad libitum fed animals, while total calories have minimal effect once macronutrients are taken into account. One of the primary purposes of this review is to explore the notion that macronutrients may have a more translational potential than CR and IF in humans, and therefore there is a pressing need to use GF to study the impact of diet on brain aging. Furthermore, given the growing recognition of the role of aging biology in dementia, such studies might provide a new approach for dietary interventions for optimizing brain health and preventing dementia in older people.

Original languageEnglish (US)
Pages (from-to)80-92
Number of pages13
JournalAgeing Research Reviews
Volume31
DOIs
StatePublished - Nov 1 2016
Externally publishedYes

Fingerprint

Cognition
Brain
Aging of materials
Dementia
Nutrition
Fasting
Nutritional Physiological Phenomena
Carbohydrates
Diet
Dietary Carbohydrates
Dietary Proteins
Health
Animals
Neurodegenerative Diseases
Neurodegenerative diseases
Proteins
Animal Models
Fats

Keywords

  • Aging
  • Cognition
  • Geometric framework
  • Intermittent fasting
  • Macronutrients

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Aging
  • Molecular Biology
  • Neurology

Cite this

Wahl, D., Cogger, V. C., Solon-Biet, S. M., Waern, R. V. R., Gokarn, R., Pulpitel, T., ... Le Couteur, D. G. (2016). Nutritional strategies to optimise cognitive function in the aging brain. Ageing Research Reviews, 31, 80-92. https://doi.org/10.1016/j.arr.2016.06.006

Nutritional strategies to optimise cognitive function in the aging brain. / Wahl, Devin; Cogger, Victoria C.; Solon-Biet, Samantha M.; Waern, Rosilene V R; Gokarn, Rahul; Pulpitel, Tamara; Cabo, Rafael de; Mattson, Mark P.; Raubenheimer, David; Simpson, Stephen J.; Le Couteur, David G.

In: Ageing Research Reviews, Vol. 31, 01.11.2016, p. 80-92.

Research output: Contribution to journalReview article

Wahl, D, Cogger, VC, Solon-Biet, SM, Waern, RVR, Gokarn, R, Pulpitel, T, Cabo, RD, Mattson, MP, Raubenheimer, D, Simpson, SJ & Le Couteur, DG 2016, 'Nutritional strategies to optimise cognitive function in the aging brain', Ageing Research Reviews, vol. 31, pp. 80-92. https://doi.org/10.1016/j.arr.2016.06.006
Wahl D, Cogger VC, Solon-Biet SM, Waern RVR, Gokarn R, Pulpitel T et al. Nutritional strategies to optimise cognitive function in the aging brain. Ageing Research Reviews. 2016 Nov 1;31:80-92. https://doi.org/10.1016/j.arr.2016.06.006
Wahl, Devin ; Cogger, Victoria C. ; Solon-Biet, Samantha M. ; Waern, Rosilene V R ; Gokarn, Rahul ; Pulpitel, Tamara ; Cabo, Rafael de ; Mattson, Mark P. ; Raubenheimer, David ; Simpson, Stephen J. ; Le Couteur, David G. / Nutritional strategies to optimise cognitive function in the aging brain. In: Ageing Research Reviews. 2016 ; Vol. 31. pp. 80-92.
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