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Identification of the Metabolomic Fingerprint Associated with Flavonoid Consumption Level
Author(s) -
Ivey Kerry,
Rimm Eric,
Kraft Peter,
Liang Liming,
Cassidy Aedin,
Wolpin Brian
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.745.7
Subject(s) - metabolomics , flavonoid , metabolome , metabolite , chemistry , multivariate analysis , biochemistry , chromatography , medicine , antioxidant
Objective: to determine whether there is a metabolic signature that is associated with level of flavonoid consumption. Methods: 184 circulating metabolites were profiled using liquid chromatography‐tandem mass spectrometry in plasma samples of 584 men and women. Results: Using Canonical Discriminant Analysis (CDA), we were able to develop a model that characterized low and high flavonoid consumers. In unadjusted and multivariate‐adjusted analyses, the Canonical Variable resulting from the CDA was capable of differentiating participants with differing levels of flavonoid consumption. We then deconstructed the metabolome data to create the Metabolite Difference Score, which successfully described the pattern of 26 metabolites that characterized participants with different levels of total‐flavonoid intake (P<0.001). The predominant characterizing features of high flavonoid consumers were their relatively low concentrations of 52:1 and 50:30 triacylglycerols and 20:3 lysophosphatidylcholines, and their relatively high concentrations of 58:9, 50:2 and 50:4 triacylglycerols and 22:6 lysophosphatidylethanolamines. Conclusion This study identifies metabolomic discrimination between low and high flavonoid consumers. These results suggest that metabolomic profiling may have a wide range of possible applications in the exploration of diet‐metabolism relationships, particularly in relation to relationships with flavonoid‐class consumption.