Metabolomics has been used to identify biomarkers of diabetes development and progression and to investigate pathophysiological mechanisms; however, metabolomics profiles can be affected by diet and physical activity. We evaluated the effects of acute diet and physical activity on metabolomics profiles in a cohort of obese adolescent girls. Obese adolescents (n=21, 14.2 ± 1.6 years, BMI %ile 98.0 ± 1.7) were studied. At the first study visit (fasting visit), participants fasted for 12 hours prior to sample collection. Prior to the second visit (controlled visit), participants were provided a 3-day standardized isocaloric weight maintenance diet, and were asked to avoid exercising for 3 days, and samples were drawn after 12 hours of fasting. Untargeted metabolomics was performed in plasma samples. Multilevel sPLS-DA was used to identify compounds that discriminated between fasting and controlled visits. The sPLS-DA analysis showed excellent discrimination (Figure 1) between the fasting and controlled samples, resulting in 0% misclassification error. In ROC analysis, the AUROC of the sPLS-DA model was 1.00 (p<0.0001). Acute diet and physical activity affect fasting metabolic profiles, and differences identified between samples may not be a result of underlying metabolism. Caution should be used in interpreting fasting metabolomics unless diet and physical activity are controlled.
L. Pyle: None. A. Carreau: Advisory Panel; Self; Pfizer Inc. H. Rahat: None. Y. Garcia Reyes: None. K.J. Nadeau: None. M. Cree-Green: None.
National Institutes of Health; University of Michigan