Systems-Level Nutrition Approaches to Define Phenotypes Resulting from Complex Gene-Environment Interactions.

Area of Science:

• Biomedical research
• Nutritional science
• Genomics and personalized medicine

Background:

• Advanced technologies reveal significant human physiological heterogeneity.
• Genetic and biochemical individuality challenges traditional population-based health risk assessments.
• Gene-environment interactions, influenced by diet and lifestyle, contribute to individual health variations.

Purpose of the Study:

• To highlight the challenges in personalizing dietary advice.
• To underscore the limitations of applying population-attributable risk to individuals.
• To address the complexity of tailoring nutrition for health and disease.

Main Methods:

• Analysis of high-throughput metabolomic, proteomic, and genomic data.
• Examination of gene-environment interactions.
• Assessment of physiological heterogeneity in human studies.

Main Results:

• High-throughput data confirm humans are not uniformly responsive and exhibit distinct genetic and biochemical profiles.
• Population-level risk factors are insufficient for individual health assessments.
• Individual responses to diet and lifestyle are highly variable.

Conclusions:

• Personalized dietary recommendations require consideration of individual genetic diversity, food complexity, cultural factors, and metabolic processes.
• The heterogeneity in human physiology presents significant challenges for developing effective individualized nutrition strategies.
• Moving beyond population-based metrics is crucial for advancing personalized nutrition in both health and disease management.