1. NATIONAL NUTRITIONAL PHENOTYPE DATABASE

2. 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:

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

5. 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

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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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