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Annual Review of Food Science and Technology

Volume 11, 2020

Precision (Personalized) Nutrition: Understanding Metabolic Heterogeneity

Abstract

People differ in their requirements for and responses to nutrients and bioactive molecules in the diet. Many inputs contribute to metabolic heterogeneity (including variations in genetics, epigenetics, microbiome, lifestyle, diet intake, and environmental exposure). Precision nutrition is not about developing unique prescriptions for individual people but rather about stratifying people into different subgroups of the population on the basis of biomarkers of the above-listed sources of metabolic variation and then using this stratification to better estimate the different subgroups’ dietary requirements, thereby enabling better dietary recommendations and interventions. The hope is that we will be able to subcategorize people into ever-smaller groups that can be targeted in terms of recommendations, but we will never achieve this at the individual level, thus, the choice of precision nutrition rather than personalized nutrition to designate this new field. This review focuses mainly on genetically related sources of metabolic heterogeneity and identifies challenges that need to be overcome to achieve a full understanding of the complex interactions between the many sources of metabolic heterogeneity that make people differ from one another in their requirements for and responses to foods. It also discusses the commercial applications of precision nutrition.

Keyword(s): environmental exposures, epigenetics, microbiome, personalized nutrigenetics, precision nutrition
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/content/journals/10.1146/annurev-food-032519-051736
2020-03-25
2024-04-26
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/content/journals/10.1146/annurev-food-032519-051736
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Precision (Personalized) Nutrition: Understanding Metabolic Heterogeneity
Annual Review of Food Science and Technology 11, 71 (2020); https://doi.org/10.1146/annurev-food-032519-051736
/content/journals/10.1146/annurev-food-032519-051736
/content/journals/10.1146/annurev-food-032519-051736
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