Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity.

ABSTRACT: The objectives of this work were the classification of dynamic metabolic biomarker candidates and the modeling and characterization of kinetic regulatory mechanisms in human metabolism with response to external perturbations by physical activity. Longitudinal metabolic concentration data of 47 individuals from 4 different groups were examined, obtained from a cycle ergometry cohort study. In total, 110 metabolites (within the classes of acylcarnitines, amino acids, and sugars) were measured through a targeted metabolomics approach, combining tandem mass spectrometry (MS/MS) with the concept of stable isotope dilution (SID) for metabolite quantitation. Biomarker candidates were selected by combined analysis of maximum fold changes (MFCs) in concentrations and P-values resulting from statist

SUBMITTER: Breit M 

PROVIDER: S-EPMC4552566 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature