The effect of standardized food intake on the association between BMI and 
1H-NMR metabolites

Schutte, B. A.; van den Akker, E. B.; Deelen, J.; van de Rest, O.; van Heemst, D.; Feskens, E. J.; Beekman, M.; Slagboom, P. E.

doi:10.1038/srep38980

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The effect of standardized food intake on the association between BMI and 1H-NMR metabolites

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Deelen, J.
Deelen – Genetics and Biomarkers of Human Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society;

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https://www.ncbi.nlm.nih.gov/pubmed/27966583
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Citation

Schutte, B. A., van den Akker, E. B., Deelen, J., van de Rest, O., van Heemst, D., Feskens, E. J., et al. (2016). The effect of standardized food intake on the association between BMI and 1H-NMR metabolites. Sci Rep, 6, 38980. doi:10.1038/srep38980.

Cite as: https://hdl.handle.net/21.11116/0000-000B-718B-9

Abstract

Multiple studies have shown that levels of 1H-NMR metabolites are associated with disease and risk factors of disease such as BMI. While most previous investigations have been performed in fasting samples, meta-analysis often includes both cohorts with fasting and non-fasting blood samples. In the present study comprising 153 participants (mean age 63 years; mean BMI 27 kg/m2) we analyzed the effect of a standardized liquid meal (SLM) on metabolite levels and how the SLM influenced the association between metabolites and BMI. We observed that many metabolites, including glycolysis related metabolites, multiple amino acids, LDL diameter, VLDL and HDL lipid concentration changed within 35 minutes after a standardized liquid meal (SLM), similarly for all individuals. Remarkable, however, is that the correlations of metabolite levels with BMI remained highly similar before and after the SLM. Hence, as exemplified with the disease risk factor BMI, our results suggest that the applicability of 1H-NMR metabolites as disease biomarkers depends on the standardization of the fasting status rather than on the fasting status itself. Future studies are required to investigate the dependency of metabolite biomarkers for other disease risk factors on the fasting status.