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Long term effects of dietary intake. Dr Lorraine Brennan School of Agriculture, Food Science & Veterinary Medicine UCD, Belfield, Dublin 4, Ireland. Overview. Relationship between dietary patterns and metabolomic profiles Quick overview of some items for discussion.
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Long term effects of dietary intake Dr Lorraine Brennan School of Agriculture, Food Science & Veterinary Medicine UCD, Belfield, Dublin 4, Ireland
Overview • Relationship between dietary patterns and metabolomic profiles • Quick overview of some items for discussion
Relationship between dietary intake patterns and metabolomic profiles.
Study Design Dublin Cork n=160 85 females 75 males 3- day weighed food diaries
33 Food Groups Cluster 1 Cluster 2 Cluster 3 Dietary Pattern Analysis WISP K-means Cluster Analysis
Reflection of dietary clusters in NMR profiles A O’ Sullivan, 2010 In Prep
Biomarker of vegetable intake // p<0.000 A O’ Sullivan, 2010 In prep
Reflection of dietary clusters in fatty acid profiles † Indicates significant difference between males and females A O’ Sullivan, 2010 In Prep
Principal component analysis: regional differences Plasma Fatty Acids Urinary Metabolites Cordoba INSERM Oslo Uppsala Reading Maastricht Trinity
8 7 6 5 1 4 3 t[2] 2 t[2] 1 0 0 -1 -2 -3 -1 -4 -1 0 1 -5 t[1] -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 t[1] European regions Urinary Metabolites R2X = 0.318 Q2 = 0.370 Plasma Fatty Acids R2X = 0.690 Q2 = 0.643 Northwest Southwest Northeast
Conclusion • 3 dietary patterns indentified • Dietary patterns were reflected in the NMR urine profiles • Dietary patterns were reflected in plasma fatty acid profiles • Consequences and need for run-in diets
Phenotyping Hypothesis: identification of metabotypes: lead to the identification of dietary responsive phenotypes
Overview of discussion session • Topics for discussion • Effects of acute dietary intake • Effects of chronic dietary intake • Run-in diets • Biomarkers of dietary intake • Phenotype • Interplay between genotype and the metabolome • Identification of metabotypes: role in nutrition
Study Design Dublin Cork n=160 85 females 75 males Data collected in 2 phases, Spring and Autumn 4 weeks Dietary Intervention Restricted Diet Restricted Diet
Phenotyping of subjects 14 biochemical parameters k-means cluster analysis Identification of 5 distinct phenotypes 3 4 2 1 5
Phenotyping of subjects A O’ Sullivan, 2010 Submitted