Abstract
Fasting is one of the simplest metabolic challenges that can be performed in humans. We here report for the first time a comprehensive analysis of the human “fasting metabolome” obtained from analysis of plasma and urine samples in a small cohort of healthy volunteers, using nuclear magnetic resonance (NMR), gas chromatography- and liquid chromatography-mass spectrometry (GC-MS and LC-MS). Intra- and inter-individual variation of metabolites was on measurement of four overnight fasting samples collected from each volunteer over a four week period. One additional sample per volunteer was collected following a prolonged fasting period of 36 h. Amongst a total of 377 quantified entities in plasma around 44% were shown to change significantly in concentration when volunteers extended fasting from 12 to 36 h. In addition to known markers (plasma free fatty acids, glycerol, ketone bodies) that reflect changes in the body’s fuel management under fasting conditions a wide range of “new” entities such as α-aminobutyrate as well as other amino and keto acids were identified as fasting markers. Based on multiple correlations amongst the metabolites and selected hormones in plasma such as leptin or insulin-like-growth-factor-1 (IGF-1), a robust metabolic network with coherent regulation of a wide range of metabolites could be identified. The metabolomics approach described here demonstrates the plasticity of human metabolism and identifies new and robust markers of the fasting state.
Similar content being viewed by others
References
Baccini, M., Bachmaier, E. M., Biggeri, A., Boekschoten, M. V., Bouwman, F. G., Brennan, L., et al. (2008). The NuGO proof of principle study package: A collaborative research effort of the European Nutrigenomics Organisation. Genes and Nutrition, 3, 147–151.
Bergman, B. C., Cornier, M. A., Horton, T. J., & Bessesen, D. H. (2007). Effects of fasting on insulin action and glucose kinetics in lean and obese men and women. American Journal of Physiology. Endocrinology and Metabolism, 293, E1103–E1111.
Brosnan, J. T., & Brosnan, M. E. (2006). Branched-chain amino acids: Enzyme and substrate regulation. Journal of Nutrition, 136, 207S–211S.
Cahill, G. F., Jr. (2006). Fuel metabolism in starvation. Annual Review of Nutrition, 26, 1–22.
Chandramouli, V., Ekberg, K., Schumann, W. C., Kalhan, S. C., Wahren, J., & Landau, B. R. (1997). Quantifying gluconeogenesis during fasting. American Journal of Physiology, 273, E1209–E1215.
Crosley, L. K., Duthie, S. J., Polley, A. C., Bouwman, F. G., Heim, C., Mulholland, F., et al. (2009). Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics. Genes and Nutrition, 4, 95–102.
Felig, P., Owen, O. E., Wahren, J., & Cahill, G. F., Jr. (1969). Amino acid metabolism during prolonged starvation. Journal of Clinical Investigation, 48, 584–594.
Gall, W. E., Beebe, K., Lawton, K. A., Adam, K. P., Mitchell, M. W., Nakhle, P. J., et al. (2010). Alpha-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS One, 5, e10883.
Illig, T., Gieger, C., Zhai, G., Romisch-Margl, W., Wang-Sattler, R., Prehn, C., et al. (2010). A genome-wide perspective of genetic variation in human metabolism. Nature Genetics, 42, 137–141.
Kaess, B., Fischer, M., Baessler, A., Stark, K., Huber, F., Kremer, W., et al. (2008). The lipoprotein subfraction profile: heritability and identification of quantitative trait loci. Journal of Lipid Research, 49, 715–723.
Kaspar, H., Dettmer, K., Chan, Q., Daniels, S., Nimkar, S., Daviglus, M. L., et al. (2009). Urinary amino acid analysis: A comparison of iTRAQ®-LC-MS/MS, GC-MS, and amino acid analyzer. Journal of Chromatography B, 877, 1838–1846.
Kussmann, M., Rezzi, S., & Daniel, H. (2008). Profiling techniques in nutrition and health research. Current Opinion in Biotechnology, 19, 83–99.
Laforet, P., Acquaviva-Bourdain, C., Rigal, O., Brivet, M., Penisson-Besnier, I., Chabrol, B., et al. (2009). Diagnostic assessment and long-term follow-up of 13 patients with Very Long-Chain Acyl-Coenzyme A dehydrogenase (VLCAD) deficiency. Neuromuscular Disorders, 19, 324–329.
Landaas, S., & Pettersen, J. E. (1975). Clinical conditions associated with urinary excretion of 2-hydroxybutyric acid. Scandinavian Journal of Clinical and Laboratory Investigation, 35, 259–266.
Landau, B. R., Wahren, J., Chandramouli, V., Schumann, W. C., Ekberg, K., & Kalhan, S. C. (1996). Contributions of gluconeogenesis to glucose production in the fasted state. Journal of Clinical Investigation, 98, 378–385.
Li, X., Xu, Z., Lu, X., Yang, X., Yin, P., Kong, H., et al. (2009). Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry for metabonomics: Biomarker discovery for diabetes mellitus. Analytica Chimica Acta, 633, 257–262.
Linsel-Nitschke, P., Jansen, H., Aherrarhou, Z., Belz, S., Mayer, B., Lieb, W., et al. (2009). Macrophage cholesterol efflux correlates with lipoprotein subclass distribution and risk of obstructive coronary artery disease in patients undergoing coronary angiography. Lipids in Health and Disease, 8, 14.
R Development Core Team. (2009). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
Shaham, O., Wei, R., Wang, T. J., Ricciardi, C., Lewis, G. D., Vasan, R. S., et al. (2008). Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity. Molecular Systems Biology, 4, 214.
Shearer, J., Duggan, G., Weljie, A., Hittel, D. S., Wasserman, D. H., & Vogel, H. J. (2008). Metabolomic profiling of dietary-induced insulin resistance in the high fat-fed C57BL/6J mouse. Diabetes, Obesity and Metabolism, 10, 950–958.
Soga, T., Baran, R., Suematsu, M., Ueno, Y., Ikeda, S., Sakurakawa, T., et al. (2006). Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. The Journal of Biological Chemistry, 281, 16768–16776.
Soutschek, J., Akinc, A., Bramlage, B., Charisse, K., Constien, R., Donoghue, M., et al. (2004). Therapeutic silencing of an endogenous gene by systemic administration of modified siRNAs. Nature, 432, 173–178.
Steele, R. D., Weber, H., & Patterson, J. I. (1984). Characterization of alpha-ketobutyrate metabolism in rat tissues: Effects of dietary protein and fasting. Journal of Nutrition, 114, 701–710.
Van Der Kloet, F. M., Bobeldijk, I., Verheij, E. R., & Jellema, R. H. (2009). Analytical error reduction using single point calibration for accurate and precise metabolomic phenotyping. Journal of Proteome Research, 8, 5132–5141.
Van Ommen, B. (2007). Personalized nutrition from a health perspective: luxury or necessity? Genes and Nutrition, 2, 3–4.
Wahren, J., & Ekberg, K. (2007). Splanchnic regulation of glucose production. Annual Review of Nutrition, 27, 329–345.
Weljie, A. M., Dowlatabadi, R., Miller, B. J., Vogel, H. J., & Jirik, F. R. (2007). An inflammatory arthritis-associated metabolite biomarker pattern revealed by 1H NMR spectroscopy. Journal of Proteome Research, 6, 3456–3464.
Weljie, A. M., Newton, J., Mercier, P., Carlson, E., & Slupsky, C. M. (2006). Targeted profiling: quantitative analysis of 1H NMR metabolomics data. Analytical Chemistry, 78, 4430–4442.
Wopereis, S., Rubingh, C. M., Van Erk, M. J., Verheij, E. R., Van Vliet, T., Cnubben, N. H., et al. (2009). Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes. PLoS One, 4, e4525.
Zhao, X., Peter, A., Fritsche, J., Elcnerova, M., Fritsche, A., Haring, H. U., et al. (2009). Changes of the plasma metabolome during an oral glucose tolerance test: Is there more than glucose to look at? American Journal of Physiology. Endocrinology and Metabolism, 296, E384–E393.
Zimmermann, T. S., Lee, A. C., Akinc, A., Bramlage, B., Bumcrot, D., Fedoruk, M. N., et al. (2006). RNAi-mediated gene silencing in non-human primates. Nature, 441, 111–114.
Acknowledgments
This study was funded by the European Nutrigenomics Organisation, an EC funded Network of Excellence, grant No: FOOD-2004-506360. We kindly thank all members of the NuGO PPS Study for excellent cooperation and productive scientific discussions. We specifically would like to thank Karen Ross and Lynn Pirie for their help with the sample preparation work, Barbara Gelhaus, Mark Philo, Ronny Scheundel, Hermine Kienberger and Johanna Welzhofer for excellent technical assistance.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Rubio-Aliaga, I., de Roos, B., Duthie, S.J. et al. Metabolomics of prolonged fasting in humans reveals new catabolic markers. Metabolomics 7, 375–387 (2011). https://doi.org/10.1007/s11306-010-0255-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11306-010-0255-2