The framework for the integration of PREVENTOMICS exploitable results into known business models plus additional alternative models towards personalized nutrition has been assessed.
From the biomarker’s point of view, the analysis of 195 candidate biomarkers of food intake were completed for all the urine samples from the 4 PREVENTOMICS trials and a robust methodological approach for the assessment of dietary intake through spot, fasting urine samples analysed by targeted metabolomics has been validated, proving to be sensitive enough for providing an objective intake assessment, as well as to establish validated biomarkers for the European population.
The technical feasibility of analysing metabolic biomarkers was assessed and the relationships among biomarkers and between metabolic clusters were defined to provide the rules for defining the functional status. Moreover, the interaction between microbiome and personalized diet patterns to prevent obesity and overweight health issues was done following a two-steps approach: i) through characterizing volunteers’ gut microbiome from the intervention studies and ii) research into the effect of the post intervention microbiota compared to the initial timepoint microbiota in a pseudo-germ-free mouse model humanized with the gut microbiome using fecal transplantation from the human samples.
The Decision Support System (DSS) architecture and its components have reached its final version and the Nutrition Recommender System (NRS) integrates the data incomes (from participants’ questionaries and laboratory data) and outcomes (from DSS to the APIs) in a user-controlled environment.
Through the deployment of the four interventional studies, it has been demonstrated that the PREVENTOMICS system can be applied to the different business models and that can reach consumers and professionals in the three different cases.
Overall, the project has proved that personalized nutrition strategies were superior to standard recommendations and has highlighted the need to emphasize the importance of the scientific soundness behind the recommendations to increase user engagement and consequently, achieving long-lasting lifestyle changes.
PREVENTOMICS results have been classified in 4 main categories: products, software, models, and best practices – most of them interconnected. The main Key Exploitable Results are the following:
• PREVENTOMICS Platform: Platform to deliver personalised nutritional recommendations based on lifestyle habits, consumption, metabolomic and genomic information.
• Behavioural change programme: Do-omics sends out personalised Do's, or micro-behaviours, designed to encourage you to step out of your comfort zone and try new behaviours.
• PREVENTOMICS Decision Support System (DSS): Modular model composed of independent metabolic and genetic signatures to generate specific solutions for each user, grouping them according to their characteristics (metabolism and genetics).
• MètaDieta software: to complete food histories and formulate meal plans, and allow a real-time communication between the dietician and the user to provide a more personalised service.
• A web app, simulating a retailer e-commerce portal, to customize the shopping list at retailer level based on phenotypic characterization.
• Food consumption assessment methodology: a set of biomarkers of food intake allowing the identification of the actual diet of an individual or population.
• Functional products: for personalized nutrition adapted to the needs of specific clusters with health alterations.
• Improved service for personalized food manufacturing and delivery: a personalized plant-based diet though a convenience food delivery subscription.
