4.7 Review

The road ahead of dietary restriction on anti-aging: focusing on personalized nutrition

Journal

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/10408398.2022.2110034

Keywords

Dietary restriction; aging; machine learning; gut microbiota; personalized nutrition

Funding

  1. Modern Agriculture in Jiangsu Province, China [BE2019309, BK20220155]
  2. National Natural Science Foundation of China [31871840, 32001665, 32001736]
  3. Bingtuan science and technology project, China [2019AB027]

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Dietary restriction can delay aging by regulating nutrient-sensing pathways and gut microbiota. However, the effects of DR regimens on longevity remain controversial, with some studies suggesting that intermittent fasting influences longevity, while others suggest that restricted-carbohydrate or -protein diets determine health and longevity. Individual differences and DR-related factors play a significant role in explaining the controversial effects.
Dietary restriction (DR), including caloric restriction (CR), intermittent fasting (IF), and restriction of specific food compositions, can delay aging, and the main mechanisms include regulation of nutrient-sensing pathways and gut microbiota. However, the effects of DR regimens on longevity remain controversial, as some studies have demonstrated that IF, rather than CR or diet composition, influences longevity, while other studies have shown that the restricted-carbohydrate or -protein diets, rather than CR, determine health and longevity. Many factors, including DR-related factors (carbohydrate or protein composition, degree and duration of DR), and individual differences (health status, sex, genotype, and age of starting DR), would be used to explain the controversial anti-aging effects of DR, thus highlighting the necessity of precise DR intervention for anti-aging. Personalized DR intervention in humans is challenging because of the lack of accurate aging molecular biomarkers and vast individual variability. Using machine learning to build a predictive model based on the data set of clinical features, gut microbiome and metabolome, may be a good method to achieve precise DR intervention. Therefore, this review analyzed the anti-aging effects of various DR regimens, summarized their mechanisms and influencing factors, and proposed a future research direction for achieving personalized DR regimens for slowing aging.

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