Stability and robustness of human metabolic phenotypes in response to sequential food challenges.

TitleStability and robustness of human metabolic phenotypes in response to sequential food challenges.
Publication TypeJournal Article
Year of Publication2012
AuthorsHeinzmann SS, Merrifield CA, Rezzi S, Kochhar S, Lindon JC, Holmes E, Nicholson JK
JournalJ Proteome Res
Volume11
Issue2
Pagination643-55
Date Published2012 Feb 3
ISSN1535-3907
KeywordsAdult, Choline, Cluster Analysis, Diet, Dietary Proteins, Discriminant Analysis, Female, Fruit, Humans, Male, Metabolic Networks and Pathways, Metabolome, Metabolomics, Metagenome, Middle Aged, Multivariate Analysis, Nuclear Magnetic Resonance, Biomolecular, Nutritional Physiological Phenomena, Pattern Recognition, Automated, Phenotype, Urine, Wine
Abstract

High-resolution spectroscopic profiles of biofluids can define metabolic phenotypes, providing a window onto the impact of diet on health to reflect gene-environment interactions. (1)H NMR spectroscopic profiling was used to characterize the effect of nutritional intervention on the stability of the metabolic phenotype of 7 individuals following a controlled 7 day dietary protocol. Inter-individual metabolic differences influenced proportionally more of the spectrum than dietary modulation, with certain individuals displaying a greater stability of metabolic phenotypes than others. Correlation structures between urinary metabolites were identified and used to map inter-individual pathway differences. Choline degradation was the pathway most affected by the individual, suggesting that the gut microbiota influence host metabolic phenotypes. This influence was further emphasized by the highly correlated excretion of the microbial-mammalian co-metabolites phenylacetylglutamine, 4-cresylsulfate (r = 0.87), and indoxylsulfate (r = 0.67) across all individuals. Above the background of inter-individual differences, clear biochemical effects of single type dietary interventions, animal protein, fruit and wine intake, were observed; for example, the spectral variance introduced by fruit ingestion was attributed to the metabolites tartrate, proline betaine, hippurate, and 4-hydroxyhippurate. This differential metabolic baseline and response to selected dietary challenges highlights the importance of understanding individual differences in metabolism and provides a rationale for evaluating dietary interventions and stratification of individuals with respect to guiding nutrition and health programmes.

DOI10.1021/pr2005764
Alternate JournalJ. Proteome Res.
PubMed ID21999107