P535 - ADVANCING PRECISION NUTRITION: A MULTI-DIMENSIONAL APPROACH FOR TARGETED INTERVENTIONS

P535

ADVANCING PRECISION NUTRITION: A MULTI-DIMENSIONAL APPROACH FOR TARGETED INTERVENTIONS

B. R. da Silva^1,*, L. Brennan², M. A. Horst^1,3, D. S. Wishart⁴, C. M. Prado¹

¹Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Canada, ²Institute of Food & Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland, ³Nutritional Genomics Research Group, School of Nutrition, Federal University of Goiás, Goiânia, Brazil, ⁴Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Canada

Rationale: Precision nutrition aims to improve health outcomes by addressing interindividual variability through data-driven dietary interventions. However, the term is often used interchangeably with personalized nutrition, creating confusion and limiting progress. While personalized nutrition involves tailoring based on general traits, precision nutrition implies more than customization; it integrates biological, clinical, and lifestyle data to inform individualized and precise dietary advice.

Methods: In this review, we aimed to evaluate how precision nutrition has been defined and implemented in intervention studies. We conducted a structured search of the MEDLINE and Embase databases using Boolean operators to link search terms. Of 96 studies identified, 50 met the inclusion criteria.

Results: Across 64,684 participants, most studies focused on healthy adults (n=32, 6%). Nearly 40% (n=19) did not include molecular data. Among 31 studies (62%) that used omics, 14 (28%) used genetics, 8 (16%) microbiome, 3 (6%) metabolomics, 2 (4%) proteomics and 1 (2%) lipidomics; only 2 studies (4%) applied a multi-omics. Most studies used omics to evaluate intervention effects rather than to inform intervention design. Metabotyping was applied in 7 studies (14%), all based on clinical and anthropometric data. Lifestyle factors were included in 19 studies (38%).

Conclusion: Most studies labeled as precision nutrition were, in fact, personalized nutrition. Many failed to include key biological or lifestyle variables, and few combined biological, clinical, and lifestyle data to inform interventions. Among studies using molecular data, most focused solely on genetics, which captures only a fraction of biological variability. These gaps hinder consensus-building, evidence generation, and clinical implementation. Standardization and expanded use of multi-omics, particularly for tailoring interventions, are crucial to advancing the field.

Disclosure of Interest: B. da Silva: None declared, L. Brennan: None declared, M. A. Horst: None declared, D. Wishart: None declared, C. Prado Consultant for: Abbott Nutrition, Nutricia, Novo Nordisk, Other: Speaker engagement: Abbott Nutrition, Nutricia, Nestle Health Science, Novo Nordisk