Dietary Analysis With Lipidomics: First Steps Toward Objective Dietary Analysis of Macronutrient Intake Using Lipidomics
A seminar by PhD Candidate James Casey
Macronutrients in the diet are an important and controllable factor in health. Current research best practices use memory-based dietary recalls (MBDA) to estimate nutrient intake. Despite their widespread use, there is evidence that information obtained from MBDA is biased as subjects misreport energy and macronutrient intake. Metabolomics is a powerful tool to identify molecular biomarkers for disease risk and can provide mechanistic insights into macronutrient metabolism. Using 2 feeding sets and 1 cross-sectional validation study we demonstrate the potential ability of plasma metabolomics to provide an objective measure of macronutrient intake. We further identify dynamic temporal changes in the plasma lipidome following changes to very high fat and very high carbohydrate diet in healthy male and female participants.