The 1H NMR serum metabolomics response to a two meal challenge: a cross-over dietary intervention study in healthy human volunteers

Nutrition Journal

Carl Brunius¹  Anna Winkvist²  Helen M. Lindqvist²  Lars Ellegård²  Göran B. Karlsson³  Anders Pedersen³  Daniel Malmodin³  Millie Rådjursöga³ 

[1] Department of Biology and Biological Engineering Food and Nutrition Science Chalmers University of Technology;Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg;Swedish NMR Centre, University of Gothenburg;

关键词: Metabolomics;    Nutrition;    NMR;    OPLS-DA;    OPLS-EP;    ANOVA-PLS;   

DOI  :  10.1186/s12937-019-0446-2

来源: DOAJ

【 摘 要 】

Abstract Background Metabolomics represents a powerful tool for exploring modulation of the human metabolome in response to food intake. However, the choice of multivariate statistical approach is not always evident, especially for complex experimental designs with repeated measurements per individual. Here we have investigated the serum metabolic responses to two breakfast meals: an egg and ham based breakfast and a cereal based breakfast using three different multivariate approaches based on the Projections to Latent Structures framework. Methods In a cross over design, 24 healthy volunteers ate the egg and ham breakfast and cereal breakfast on four occasions each. Postprandial serum samples were subjected to metabolite profiling using 1H nuclear magnetic resonance spectroscopy and metabolites were identified using 2D nuclear magnetic resonance spectroscopy. Metabolic profiles were analyzed using Orthogonal Projections to Latent Structures with Discriminant Analysis and Effect Projections and ANOVA-decomposed Projections to Latent Structures. Results The Orthogonal Projections to Latent Structures with Discriminant Analysis model correctly classified 92 and 90% of the samples from the cereal breakfast and egg and ham breakfast, respectively, but confounded dietary effects with inter-personal variability. Orthogonal Projections to Latent Structures with Effect Projections removed inter-personal variability and performed perfect classification between breakfasts, however at the expense of comparing means of respective breakfasts instead of all samples. ANOVA-decomposed Projections to Latent Structures managed to remove inter-personal variability and predicted 99% of all individual samples correctly. Proline, tyrosine, and N-acetylated amino acids were found in higher concentration after consumption of the cereal breakfast while creatine, methanol, and isoleucine were found in higher concentration after the egg and ham breakfast. Conclusions Our results demonstrate that the choice of statistical method will influence the results and adequate methods need to be employed to manage sample dependency and repeated measurements in cross-over studies. In addition, 1H nuclear magnetic resonance serum metabolomics could reproducibly characterize postprandial metabolic profiles and identify discriminatory metabolites largely reflecting dietary composition. Trial registration Registered with ClinicalTrials.gov, identifier: NCT02039596. Date of registration: January 17, 2014.

【 授权许可】

Unknown