NATIONAL NUTRITIONAL PHENOTYPE DATABASE

National Nutrition Phenotype Database Project Funded jointly by the Department of Agriculture’s Food Research Programme and Health Research Board €5 million over 5 years (2007 – 2012) Partners: UCD (lead), UCC, TCD & UU Consortium known as JINGO: Joint Irish Nutrigenomic Organisation:www.ucd.ie/jingo

Concept of a Nutritional Phenotype Database Traditionally, food intake databases linked to Targeted biochemical data Anthropometry data Physical activity data

Concept of a Nutritional Phenotype Database Nutritional Phenotype database extends to Genotypic data Transcriptomic data Proteomic data Metabolomic data Imaging for body composition Energy metabolism Fitness

Concept of a Nutritional Phenotype Database GENES Genomics Transcriptomics Proteomics Metabolomics GENE EXPRESSION PROTEINS METABOLITES

Concept of a Nutritional Phenotype Database Normal approach is to study nationally representative samples in the fasting state In Nutritional Phenotype Databases this is extended to include metabolic “stress” In JINGO the “stress” will involve: Elderly Postprandial metabolism

Cohort 1: The Adults Survey The National Adult Nutrition Survey (NANS) Involves 1,500 adults Also €5m from the same funding source and for the same period Nationally representative sample Diet, Anthropometry, Blood biochemistry, Urine, Physical activity The data will be used in its own right The data will become part of the JINGO database

Cohort 2: The Elderly Project Trinity Ulster Department of Agriculture (TUDA) Project Involves 3 groups of 2,000 Adults (65 yr+) Recruited from patient lists Verified impairment of Cognitive function (St James Hospital) Skeletal function (St James Hospital) Hypertension (Altnagelvin Hospital) Blood collection & dietary data These will be prospective cohorts

Cohort 3: The Metabolic Challenge Project The Metabolic Challenge (MECHE) Project Involves 300 Adults (18-60 yrs) Two types of test drink Oral glucose tolerance test High fat 4 Visits (1 Screening visit, 2 Visits to St Vincent’s Hospital and 1 Visit to UCD Institute of Sport & Health) Blood biochemistry, Urine, Fat sampling, Body composition, Fitness, Body function

The Contents of the Database Food and nutrient intake data Body composition and fitness data Targeted Biochemical data Folate, B12, B2, B6 Calcium, Vitamin D, Hormones, bone metabolism biomarkers Insulin, glucose, adipokines Non targeted biochemical data Proteomics Metabolomics Genetic data

Future Impact Allow Ireland to compete at highest international level in Nutrigenomics and Public Health Answer many important scientific questions vital for future food and health research - Identify those nutrients which interact with particular genes to increase the likelihood of developing a certain disease - Result in more accurate means of establishing healthy dietary and nutritional profiles - Develop better functional foods and target them at the right groups, furthering the concept of “Personalised Nutrition” Allow Ireland to exchange data with other major databases across the globe