Targeted metabolomics profiles are strongly correlated with nutritional patterns in women

Cristina Menni, Guangju Zhai, Alexander Macgregor, Cornelia Prehn, Werner Römisch-Margl, Karsten Suhre, Jerzy Adamski, Aedin Cassidy, Thomas Illig, Tim D Spector, Ana M Valdes

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76 Citations (Scopus)

Abstract

Nutrition plays an important role in human metabolism and health. Metabolomics is a promising tool for clinical, genetic and nutritional studies. A key question is to what extent metabolomic profiles reflect nutritional patterns in an epidemiological setting. We assessed the relationship between metabolomic profiles and nutritional intake in women from a large cross-sectional community study. Food frequency questionnaires (FFQs) were applied to 1,003 women from the TwinsUK cohort with targeted metabolomic analyses of serum samples using the Biocrates Absolute-IDQ™ Kit p150 (163 metabolites). We analyzed seven nutritional parameters: coffee intake, garlic intake and nutritional scores derived from the FFQs summarizing fruit and vegetable intake, alcohol intake, meat intake, hypo-caloric dieting and a "traditional English" diet. We studied the correlation between metabolite levels and dietary intake patterns in the larger population and identified for each trait between 14 and 20 independent monozygotic twins pairs discordant for nutritional intake and replicated results in this set. Results from both analyses were then meta-analyzed. For the metabolites associated with nutritional patterns, we calculated heritability using structural equation modelling. 42 metabolite nutrient intake associations were statistically significant in the discovery samples (Bonferroni P 
Original languageEnglish
Pages (from-to)506-514
Number of pages9
JournalMetabolomics
Volume9
Issue number2
DOIs
Publication statusPublished - 01 Apr 2013

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    Menni, C., Zhai, G., Macgregor, A., Prehn, C., Römisch-Margl, W., Suhre, K., Adamski, J., Cassidy, A., Illig, T., Spector, T. D., & Valdes, A. M. (2013). Targeted metabolomics profiles are strongly correlated with nutritional patterns in women. Metabolomics, 9(2), 506-514. https://doi.org/10.1007/s11306-012-0469-6