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Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach

Zivkovic, Angela ; Wiest, Michelle ; Nguyen, UyenThao ; Nording, Malin ; Watkins, Steven ; German, J.

In: Metabolomics, 2009, vol. 5, no. 2, p. 209-218

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    Titre
    • Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach
    Auteur
    • Zivkovic, Angela. Department of Food Science and Technology, University of California, 1 Shields Avenue, 95616, Davis, CA, USA
    • Wiest, Michelle. Lipomics Technologies, Inc., 95691, West Sacramento, CA, USA
    • Nguyen, UyenThao. Lipomics Technologies, Inc., 95691, West Sacramento, CA, USA
    • Nording, Malin. Department of Entomology, University of California, 95616, Davis, CA, USA
    • Watkins, Steven. Lipomics Technologies, Inc., 95691, West Sacramento, CA, USA
    • German, J.. Department of Food Science and Technology, University of California, 1 Shields Avenue, 95616, Davis, CA, USA
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Metabolomics, 2009, vol. 5, no. 2, p. 209-218. Springer US; http://www.springer-ny.com
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:322271
    Summary
    The development of assessment techniques with immediate clinical applicability is a priority for resolving the growing epidemic in metabolic disease. Many imbalances in diet-dependent metabolism are not detectable in the fasted state. Resolving the high inter-individual variability in response to diet requires the development of techniques that can detect metabolic dysfunction at the level of the individual. The intra- and inter-individual variation in lipid metabolism in response to a standardized test meal was determined. Following an overnight fast on three different days, three healthy subjects consumed a test meal containing 40% of their daily calories. Plasma samples were collected at fasting, and 1, 3, 6, and 8h after the test meal. Plasma fatty acid (FA) concentrations within separated lipid classes and lipoprotein fractions were measured at each time point. The intra-individual variation within each subject across three days was lower than the inter-individual differences among the three subjects for over 50% of metabolites in the triacylglycerol (TG), FA, and phosphatidylcholine (PC) lipid classes at 6h, and for 25-50% of metabolites across lipid classes at 0, 1, 3, and 8h. The consistency of response within individuals was visualized by principal component analysis (PCA) and confirmed by ANOVA. Three representative metabolites that discriminated among the three individuals in the apolipoprotein B (ApoB) fraction, TG16:1n7, TG18:2n6, and PC18:3n3, are discussed in detail. The postprandial responses of individuals were unique within metabolites that were individual discriminators (ID) of metabolic phenotype. This study shows that the targeted metabolomic measurement of individual metabolic phenotype in response to a specially formulated lipid challenge is possible even without lead-in periods, dietary and lifestyle control, or intervention over a 3-month period in healthy free-living individuals