Abstract
To unravel metabolic adaptations preceding the occurrence of metabolic dysregulations, a nutritional challenge appears as the best tool capable to reveal metabolic disturbances compared to single-point measurements at the static fasting (PA) state. The aim of the present work was to study the metabolic trajectories at the postprandial (PP) state in a relevant human nutrition animal model combining plasma metabolome analysis with classical metabolism exploration tools. In a first trial, three mini pigs were fed a test meal and arterial blood samples withdrawn before and over 4 h following the meal for plasma metabolites analysis (LC–MS and classical biochemistry). In a second trial, three mini-pigs were euthanized after an overnight fasting and three others 1:15 h after the test meal. The metabolism was explored at the molecular (mRNA levels), biochemical (enzyme activities) and signalling (phosphorylation status) levels in the liver and muscle. As expected, and in accordance with alterations in plasma glucose, urea levels, gluconeogenesis/glycolysis/lipid and amino acid (AA) oxidation genes expression and enzymes activities, the metabolomic approach discriminated the PA from the PP state (R2Ycum = 0.991; Q2Ycum = 0.921). More interestingly hierarchical cluster analysis revealed that the PP metabolome included actually four types of kinetic profiles. Further, PLS-DA analysis revealed a two-step pattern: 1–2 and 3–4 h (R2Ycum = 0.837; Q2cum = 0.635). Among the molecules explaining this discrimination, several AAs and phospholipid species were highlighted and their significance in PP metabolism discussed. Our data showed that the combination of these approaches in mini-pigs could be used to investigate PP metabolic adaptations in various physiological and patho-physiological states.
Similar content being viewed by others
References
Alegre, M., Ciudad, C. J., Fillat, C., & Guinovart, J. J. (1988). Determination of glucose-6-phosphatase activity using the glucose dehydrogenase-coupled reaction. Analytical Biochemistry, 173, 185–189.
Ang, J. E., et al. (2012). Identification of human plasma metabolites exhibiting time-of-day variation using an untargeted liquid chromatography–mass spectrometry metabolomic approach. Chronobiology International, 29, 868–881.
Barbe, F., et al. (2013). The heat treatment and the gelation are strong determinants of the kinetics of milk proteins digestion and of the peripheral availability of amino acids. Food Chemistry, 136, 1203–1212.
Barber, M. N., et al. (2012). Plasma lysophosphatidylcholine levels are reduced in obesity and type 2 diabetes. PLoS ONE, 7, e41456.
Barthel, A., & Schmoll, D. (2003). Novel concepts in insulin regulation of hepatic gluconeogenesis. American Journal of Physiology Endocrinology and Metabolism, 285, E685–E692.
Bartoli, E., Fra, G. P., & Carnevale Schianca, G. P. (2011). The oral glucose tolerance test (OGTT) revisited. European Journal of Internal Medicine, 22, 8–12.
Benton, H. P., Wong, D. M., Trauger, S. A., & Siuzdak, G. (2008). XCMS2: Processing tandem mass spectrometry data for metabolite identification and structural characterization. Analytical Chemistry, 80, 6382–6389.
Boirie, Y., Dangin, M., Gachon, P., Vasson, M. P., Maubois, J. L., & Beaufrere, B. (1997). Slow and fast dietary proteins differently modulate postprandial protein accretion. Proceedings of the National Academy of Sciences of the United States of America, 94, 14930–14935.
Caraux, G., & Pinloche, S. (2005). PermutMatrix: A graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics, 21, 1280–1281.
Carroll, M. F., & Schade, D. S. (2003). Timing of antioxidant vitamin ingestion alters postprandial proatherogenic serum markers. Circulation, 108, 24–31.
Corpeleijn, E., Saris, W. H., & Blaak, E. E. (2009). Metabolic flexibility in the development of insulin resistance and type 2 diabetes: Effects of lifestyle. Obesity Reviews, 10, 178–193.
Dardevet, D., Remond, D., Peyron, M. A., Papet, I., Savary-Auzeloux, I., & Mosoni, L. (2012). Muscle wasting and resistance of muscle anabolism: The “anabolic threshold concept” for adapted nutritional strategies during sarcopenia. Scientific World Journal, 2012, 269531.
Davidson, A. L., & Arion, W. J. (1987). Factors underlying significant underestimations of glucokinase activity in crude liver extracts: Physiological implications of higher cellular activity. Archives of Biochemistry and Biophysics, 253, 156–167.
Denton, R. M., Edgell, N. J., Bridges, B. J., & Poole, G. P. (1979). Acute regulation of pyruvate kinase activity in rat epididymal adipose tissue by insulin. Biochemical Journal, 180, 523–531.
Eckel-Mahan, K. L., Patel, V. R., Mohney, R. P., Vignola, K. S., Baldi, P., & Sassone-Corsi, P. (2012). Coordination of the transcriptome and metabolome by the circadian clock. Proceedings of the National Academy of Sciences of the United States of America, 109, 5541–5546.
Frayn, K., Arner, P., & Yki-Jarvinen, H. (2006). Fatty acid metabolism in adipose tissue, muscle and liver in health and disease. Essays in Biochemistry, 42, 89–103.
Fustin, J. M., Doi, M., Yamada, H., Komatsu, R., Shimba, S., & Okamura, H. (2012). Rhythmic nucleotide synthesis in the liver: Temporal segregation of metabolites. Cell Reports, 1, 341–349.
German, J. B., Zivkovic, A. M., Dallas, D. C., & Smilowitz, J. T. (2011). Nutrigenomics and personalized diets: What will they mean for food? Annual review of food science and technology, 2, 97–123.
Horakova, O., et al. (2012). Preservation of metabolic flexibility in skeletal muscle by a combined use of n-3 PUFA and rosiglitazone in dietary obese mice. PLoS ONE, 7, e43764.
Iynedjian, P. B. (2009). Molecular physiology of mammalian glucokinase. Cellular and Molecular Life Sciences, 66, 27–42.
Karlic, H., Lohninger, S., Koeck, T., & Lohninger, A. (2002). Dietary l-carnitine stimulates carnitine acyltransferases in the liver of aged rats. Journal of Histochemistry and Cytochemistry, 50, 205–212.
Keppler, D., Decker, K., & Bergmeyer, H. U. (1974). Glycogen determination with amyloglucosidase Methods of Enzymatic Analysis (pp. 1127–1131). New York: Academic Press.
Kersten, S. (2001). Mechanisms of nutritional and hormonal regulation of lipogenesis. EMBO Reports, 2, 282–286.
Koopman, R., et al. (2009). Ingestion of a protein hydrolysate is accompanied by an accelerated in vivo digestion and absorption rate when compared with its intact protein. American Journal of Clinical Nutrition, 90, 106–115.
Krug, S., Kastenmuller, G., Stuckler, F., Rist, M. J., Skurk, T., Sailer, M., et al. (2012). The dynamic range of the human metabolome revealed by challenges. FASEB Journal, 26(6), 2607–2619.
Lambert, J. E., & Parks, E. J. (2012). Postprandial metabolism of meal triglyceride in humans. Biochimica et Biophysica Acta, 1821, 721–726.
Maillot, F., et al. (2005). Changes in plasma triacylglycerol concentrations after sequential lunch and dinner in healthy subjects. Diabetes & Metabolism, 31, 69–77.
Mamo, J. C., James, A. P., Soares, M. J., Griffiths, D. G., Purcell, K., & Schwenke, J. L. (2005). A low-protein diet exacerbates postprandial chylomicron concentration in moderately dyslipidaemic subjects in comparison to a lean red meat protein-enriched diet. European Journal of Clinical Nutrition, 59, 1142–1148.
Merrifield, C. A., Lewis, M., Claus, S. P., Beckonert, O. P., Dumas, M.-E., Duncker, S., et al. (2011). A metabolic system-wide characterisation of the pig: A model for human physiology. Molecular BioSystems, 7(9), 2577–2588.
Miller, E. R., & Ullrey, D. E. (1987). The pig as a model for human nutrition. Annual Review of Nutrition, 7(1), 361–382.
Minami, Y., et al. (2009). Measurement of internal body time by blood metabolomics. Proceedings of the National Academy of Sciences of the United States of America, 106, 9890–9895.
Nappo, F., et al. (2002). Postprandial endothelial activation in healthy subjects and in type 2 diabetic patients: Role of fat and carbohydrate meals. Journal of the American College of Cardiology, 39, 1145–1150.
Newgard, C. B. (2012). Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metabolism, 15, 606–614.
Newgard, C. B., et al. (2009). A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metabolism, 9, 311–326.
Noah, L., Krempf, M., Lecannu, G., Maugere, P., & Champ, M. (2000). Bioavailability of starch and postprandial changes in splanchnic glucose metabolism in pigs. American Journal of Physiology Endocrinology and Metabolism, 278, E181–E188.
Olsen, A. K., Bladbjerg, E. M., Marckmann, P., Larsen, L. F., & Hansen, A. K. (2002). The Göttingen minipig as a model for postprandial hyperlipidaemia in man: Experimental observations. Laboratory Animals, 36, 438–444.
Panserat, S., Rideau, N., & Polakof, S. (2014). Nutritional regulation of glucokinase: A cross-species story. Nutrition Research Reviews, 27(1), 21–47.
Pellis, L., et al. (2012). Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status. Metabolomics, 8, 347–359.
Pereira, H., Martin, J.-F., Joly, C., Sébédio, J.-L., & Pujos-Guillot, E. (2010). Development and validation of a UPLC/MS method for a nutritional metabolomic study of human plasma. Metabolomics, 6, 207–218.
Pfaffl, M. W. (2001). A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Research, 29, e45.
Remond, D., et al. (2007). Postprandial whole-body protein metabolism after a meat meal is influenced by chewing efficiency in elderly subjects. American Journal of Clinical Nutrition, 85, 1286–1292.
Rerat, A., Jung, J., & Kande, J. (1988a). Absorption kinetics of dietary hydrolysis products in conscious pigs given diets with different amounts of fish protein. 2. Individual amino acids. British Journal of Nutrition, 60, 105–120.
Rerat, A., Vaissade, P., & Vaugelade, P. (1988b). Absorption kinetics of dietary hydrolysis products in conscious pigs given diets with different amounts of fish protein. 1. Amino-nitrogen and glucose. British Journal of Nutrition, 60, 91–104.
Rubenstein, A. H., Seftel, H. C., Miller, K., Bersohn, I., & Wright, A. D. (1969). Metabolic response to oral glucose in healthy South African white, Indian, and African subjects. British journal of medicine, 1, 748–751.
Saggerson, E., & Greenbaum, A. (1970). The regulation of triglyceride synthesis and fatty acid synthesis in rat epididymal adipose tissue. Effects of altered dietary and hormonal conditions. Biochemical Journal, 119, 221.
Sampey, B. P., et al. (2012). Metabolomic profiling reveals mitochondrial-derived lipid biomarkers that drive obesity-associated inflammation. PLoS ONE, 7, e38812.
Secor, S. M. (2009). Specific dynamic action: A review of the postprandial metabolic response. Journal of Comparative Physiology B, 179, 1–56.
Sestoft, L., Tonnesen, K., Hansen, F. V., & Damgaard, S. E. (1972). Fructose and d-glyceraldehyde metabolism in the isolated perfused pig liver. European Journal of Biochemistry, 30(3), 542–552.
Shaham, O., et al. (2008). Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity. Molecular Systems Biololy, 4, 214.
Skurk, T., Rubio-Aliaga, I., Stamfort, A., Hauner, H., & Daniel, H. (2011). New metabolic interdependencies revealed by plasma metabolite profiling after two dietary challenges. Metabolomics, 7, 388–399.
Smith, C. A., Want, E. J., O’Maille, G., Abagyan, R., & Siuzdak, G. (2006). XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Analytical Chemistry, 78, 779–787.
Smyth, G. E., & Colman, R. F. (1992). Inactivation of pig heart NADP-specific isocitrate dehydrogenase by two affinity reagents is due to reaction with a cysteine not essential for function. Archives of Biochemistry and Biophysics, 293(2), 356–361.
Son, N., et al. (2012). Liquid chromatography-mass spectrometry-based metabolomic analysis of livers from aged rats. Journal of Proteome Research, 11, 2551–2558.
Spégel, P., Danielsson, A. H., Bacos, K., Nagorny, C. F., Moritz, T., Mulder, H., et al. (2010). Metabolomic analysis of a human oral glucose tolerance test reveals fatty acids as reliable indicators of regulated metabolism. Metabolomics, 6(1), 56–66.
Sumner, L. W., et al. (2007). Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). Metabolomics, 3, 211–221.
Truswell, A. S. (1994). Food carbohydrates and plasma lipids—an update. American Journal of Clinical Nutrition, 59, 710S–718S.
Wahl, S., Krug, S., Then, C., Kirchhofer, A., Kastenmüller, G., Brand, T., et al. (2014). Comparative analysis of plasma metabolomics response to metabolic challenge tests in healthy subjects and influence of the FTO obesity risk allele. Metabolomics, 10(3), 386–401.
Wang, T. J., et al. (2011). Metabolite profiles and the risk of developing diabetes. Nature Medicine, 17, 448–453.
Westbury, K., & Hahn, P. (1984). Fructose-1,6-biphosphatase activity in the intestinal mucosa of developing rats. American Journal of Physiology, 246, G683–G686.
Wishart, D. S. (2007). Current progress in computational metabolomics. Brief Bioinformatics, 8, 279–293.
Xie, B., Waters, M. J., & Schirra, H. J. (2012). Investigating potential mechanisms of obesity by metabolomics. Journal of Biomedicine and Biotechnology, 2012, 805683.
Zhao, X., 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.
Zhu, C., Liang, Q. L., Hu, P., Wang, Y. M., & Luo, G. A. (2011). Phospholipidomic identification of potential plasma biomarkers associated with type 2 diabetes mellitus and diabetic nephropathy. Talanta, 85, 1711–1720.
Acknowledgments
The authors acknowledge D. Durand, C. Prolhac, C. Buisson, J. David, M. Petera and the personnel of the Animal Facility (C. de L’Homme, B. Cohade) for technical assistance.
Conflict of interest
The authors declare that they have no conflict of interest.
Compliance with Ethical Requirements
All procedures were in accordance with the guidelines formulated by the European Community for the use of experimental animals (L358-86/609/EEC, Council Directive, 1986).
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
Polakof, S., Rémond, D., Rambeau, M. et al. Postprandial metabolic events in mini-pigs: new insights from a combined approach using plasma metabolomics, tissue gene expression, and enzyme activity. Metabolomics 11, 964–979 (2015). https://doi.org/10.1007/s11306-014-0753-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11306-014-0753-8