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Food Metabolome in Clinical Nutrition Research: from Dietary Patterns to Discovering Disease Risk Biomarkers. Evidence from PREDIMED Study
Author(s) -
AndresLacueva C,
Llorach R,
UrpiSardà M,
Tulipani S,
VazquezFresno R,
Khymenets O,
LupianezBarbero A,
GarciaAloy M
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.249.1
Subject(s) - metabolome , metabolomics , biology , physiology , disease , cohort , medicine , bioinformatics
Diet plays an important role in the prevention and development of chronic diseases. Interventional and observational studies have provided evidence of the health benefits of dietary bioactive compounds. The assessment of dietary intake has been estimated using self‐reported questionnaires, which provide less reliable data than nutritional biomarkers. Nutrimetabolomics has been proposed as a tool for discovering new biomarkers of exposure. Different clinical studies provides complementary information about dietary exposure, and thus in the discovery of new biomarkers. In the current study we applied an HPLC‐Q‐ToF‐MS untargeted metabolomics strategy followed by multivariate analysis (OSC‐PLS‐DA) to characterize the urinary metabolome of subjects who followed an acute or chronic intervention of the food item or dietary pattern, as well as in a free‐living population from the PREDIMED cohort ( www.predimed.org ). Discriminating metabolites were associated with complex metabolic pattern linked to fatty acids, microbial metabolites, compounds from tryptophan & serotonin pathway, phytochemicals, processing‐derived compounds and endogenous metabolites. Diet‐related differences in urinary metabolome were associated with food digestion, microbiota metabolism and endogenous metabolism. Nutrimetabolomics has the potential to unveil the metabolic signature that differentiates healthy from metabolically perturbed subjects, access unexplored metabolic pathways impacted by diet, and elucidate the inter‐individual differences in the effects of dietary interventions.