Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies1,2,3

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Background: It has been suggested that metabolomics could play a role in dietary assessment and identification of novel biomarkers of dietary intake.

Objective: This study examined the link between habitual dietary patterns and metabolomic profiles.

Design: A total of 160 volunteers participated in a double-blind, randomized, placebo-controlled dietary intervention. We collected biofluids and recorded 3-d food diaries. Food data were reduced to 33 food groups, and a k-means cluster analysis was performed to identify dietary patterns. 1H Nuclear magnetic resonance (NMR) spectra were acquired for plasma and urine samples, and gas chromatography was used for plasma fatty acid profiling.

Results: Cluster analysis identified 3 distinct dietary patterns on the basis of the energy contribution of different food groups. Dietary clusters were reflected in plasma fatty acid profiles and in metabolomic data. 1H NMR spectra of urine allowed the identification of metabolites associated with different dietary patterns. Several of the metabolites identified were linked to the intake of specific food groups; in particular, there was a positive association between O-acetylcarnitine and phenylacetylglutamine and red-meat and vegetable intakes, respectively.

Conclusions: Habitual dietary patterns are shown in metabolomic data. This approach successfully identified potential biomarkers of red-meat and vegetable intakes.

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1

From the Institute of Food and Health (AO, MJG, and LB) and the Conway Institute (AO and LB), University College Dublin, Dublin, Ireland.

2

Supported by a research grant from the Department of Agriculture, Food and Fisheries, Ireland, under the Food Institutional Research Measure (grant 06RDD417).

3

Address correspondence to MJ Gibney, Institute of Food and Health, Belfield, University College Dublin, Dublin 4, Ireland. E-mail: [email protected].