Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status
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  • 作者:Linette Pellis (1)
    Marjan J. van Erk (1)
    Ben van Ommen (1)
    Gertruud C. M. Bakker (1)
    Henk F. J. Hendriks (1)
    Nicole H. P. Cnubben (1)
    Robert Kleemann (2)
    Eugene P. van Someren (1)
    Ivana Bobeldijk (3)
    Carina M. Rubingh (1)
    Suzan Wopereis (1)
  • 关键词:Postprandial challenge ; Metabolic profiling ; Proteomic profiling ; Plasma
  • 刊名:Metabolomics
  • 出版年:2012
  • 出版时间:April 2012
  • 年:2012
  • 卷:8
  • 期:2
  • 页码:347-359
  • 全文大小:517KB
  • 参考文献:1. Bakker, G. C. M., Van Erk, M. J., Pellis, L., Wopereis, S., Rubingh, C. M., Cnubben, N. H. P., et al. (2010). An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: A nutrigenomics approach. / American Journal of Clinical Nutrition, / 91(4), 1044-059. href="http://dx.doi.org/10.3945/ajcn.2009.28822">CrossRef
    2. Bijlsma, S., Bobeldijk, I., Verheij, E. R., Ramaker, R., Kochhar, S., Macdonald, I. A., et al. (2006). Large-scale human metabolomics studies: A strategy for data (pre-) processing and validation. / Analytical Chemistry, / 78(2), 567-74. href="http://dx.doi.org/10.1021/ac051495j">CrossRef
    3. Brevik, A., Veierod, M. B., Drevon, C. A., & Andersen, L. F. (2005). Evaluation of the odd fatty acids 15:0 and 17:0 in serum and adipose tissue as markers of intake of milk and dairy fat. / European Journal of Clinical Nutrition, / 59(12), 1417-422. href="http://dx.doi.org/10.1038/sj.ejcn.1602256">CrossRef
    4. Carroll, M. F., & Schade, D. S. (2003). Timing of antioxidant vitamin ingestion alters postprandial proatherogenic serum markers. / Circulation, / 108(1), 24-1. href="http://dx.doi.org/10.1161/01.CIR.0000074221.68903.77">CrossRef
    5. Cawston, T., & Young, D. (2010). Proteinases involved in matrix turnover during cartilage and bone breakdown. / Cell and Tissue Research, / 339(1), 221-35. href="http://dx.doi.org/10.1007/s00441-009-0887-6">CrossRef
    6. Chakrabarti, S., Blair, P., & Freedman, J. E. (2007). CD40-40L signaling in vascular inflammation. / Journal of Biological Chemistry, / 282(25), 18307-8317. href="http://dx.doi.org/10.1074/jbc.M700211200">CrossRef
    7. Cianflone, K., Paglialunga, S., & Roy, C. (2008). Intestinally derived lipids: Metabolic regulation and consequences—An overview. / Atherosclerosis Supplements, / 9(2), 63-8. href="http://dx.doi.org/10.1016/j.atherosclerosissup.2008.05.014">CrossRef
    8. Constans, J., & Conri, C. (2006). Circulating markers of endothelial function in cardiovascular disease. / Clinica Chimica Acta, / 368(1-), 33-7. href="http://dx.doi.org/10.1016/j.cca.2005.12.030">CrossRef
    9. Devaraj, S., Wang-Polagruto, J., Polagruto, J., Keen, C. L., & Jialal, I. (2008). High-fat, energy-dense, fast-food-style breakfast results in an increase in oxidative stress in metabolic syndrome. / Metabolism, / 57(6), 867-70. href="http://dx.doi.org/10.1016/j.metabol.2008.02.016">CrossRef
    10. Elliott, R., Pico, C., Dommels, Y., Wybranska, I., Hesketh, J., & Keijer, J. (2007). Nutrigenomic approaches for benefit-risk analysis of foods and food components: Defining markers of health. / British Journal of Nutrition, / 98(6), 1095-100. href="http://dx.doi.org/10.1017/S0007114507803400">CrossRef
    11. Esposito, K., Nappo, F., Giugliano, F., Di, P. C., Ciotola, M., Barbieri, M., et al. (2003). Meal modulation of circulating interleukin 18 and adiponectin concentrations in healthy subjects and in patients with type 2 diabetes mellitus. / American Journal of Clinical Nutrition, / 78(6), 1135-140.
    12. Frayn, K. N. (2010). / Metabolic regulation—A human perspective. Blackwell Publishers.
    13. Ghanim, H., Abuaysheh, S., Sia, C. L., Korzeniewski, K., Chaudhuri, A., Fernandez-Real, J. M., et al. (2009). Increase in plasma endotoxin concentrations and the expression of toll-like receptors and suppressor of cytokine signaling-3 in mononuclear cells after a high-fat, high-carbohydrate meal. / Diabetes Care, / 32(12), 2281-287. href="http://dx.doi.org/10.2337/dc09-0979">CrossRef
    14. Goldtein, M. S., Henry, W. L., Huddlestun, B., & Levine, R. (1953). Action of insulin on transfer of sugars across cell barriers; common chemical configuration of substances responsive to action of the hormone. / American Journal of Physiology, / 173(2), 207-11.
    15. Habito, R. C., & Ball, M. J. (2001). Postprandial changes in sex hormones after meals of different composition. / Metabolism, / 50(5), 505-11. href="http://dx.doi.org/10.1053/meta.2001.20973">CrossRef
    16. Jackson, K. G., Armah, C. K., & Minihane, A. M. (2007). Meal fatty acids and postprandial vascular reactivity. / Biochemical Society Transactions, / 035(3), 451-53. href="http://dx.doi.org/10.1042/BST0350451">CrossRef
    17. Kakafika, A. I., Liberopoulos, E. N., & Mikhailidis, D. P. (2007). Fibrinogen: A predictor of vascular disease. / Current Pharmaceutical Design, / 13(16), 1647-659. href="http://dx.doi.org/10.2174/138161207780831310">CrossRef
    18. Kamat, V., Hecht, W. L., & Rubin, R. T. (1995). Influence of meal composition on the postprandial response of the pituitary-thyroid axis. / European Journal of Endocrinology, / 133(1), 75-9. href="http://dx.doi.org/10.1530/eje.0.1330075">CrossRef
    19. Koek, M., van der Kloet, F., Kleemann, R., Kooistra, T., Verheij, E., & Hankemeier, T. (2011). Semi-automated non-target processing in GC?×?GC-MS metabolomics analysis: Applicability for biomedical studies. / Metabolomics, / 7(1), 1-4. href="http://dx.doi.org/10.1007/s11306-010-0219-6">CrossRef
    20. Lopez-Miranda, J., Williams, C., & Lairon, D. (2007). Dietary, physiological, genetic and pathological influences on postprandial lipid metabolism. / British Journal of Nutrition, / 98(3), 458-73. href="http://dx.doi.org/10.1017/S000711450774268X">CrossRef
    21. Lundman, P., Boquist, S., Samnegsrd, A., Bennermo, M., Held, C., Ericsson, C. G., et al. (2007). A high-fat meal is accompanied by increased plasma interleukin-6 concentrations. / Nutrition, Metabolism and Cardiovascular Diseases, / 17(3), 195-02. href="http://dx.doi.org/10.1016/j.numecd.2005.11.009">CrossRef
    22. Margioris, A. N. (2009). Fatty acids and postprandial inflammation. / Current Opinion in Clinical Nutrition & Metabolic Care, / 12(2), 129-37. href="http://dx.doi.org/10.1097/MCO.0b013e3283232a11">CrossRef
    23. Minisola, S., Antonelli, R., & Mazzuoli, G. (1985). Clinical significance of free plasma hydroxyproline measurement in metabolic bone disease. / Journal of Clinical Chemistry & Clinical Biochemistry, / 23(9), 515-19.
    24. Nakatsuji, H., Kishida, K., Kitamura, T., Nakajima, C., Funahashi, T., & Shimomura, I. (2010). Dysregulation of glucose, insulin, triglyceride, blood pressure, and oxidative stress after an oral glucose tolerance test in men with abdominal obesity. / Metabolism: Clinical and Experimental, / 59(4), 520-26. href="http://dx.doi.org/10.1016/j.metabol.2009.08.013">CrossRef
    25. Nappo, F., Esposito, K., Cioffi, M., Giugliano, G., Molinari, A. M., Paolisso, G., 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(7), 1145-150. href="http://dx.doi.org/10.1016/S0735-1097(02)01741-2">CrossRef
    26. Neri, S., Signorelli, S. S., Torrisi, B., Pulvirenti, D., Mauceri, B., Abate, G., et al. (2005). Effects of antioxidant supplementation on postprandial oxidative stress and endothelial dysfunction: A single-blind, 15-day clinical trial in patients with untreated type 2 diabetes, subjects with impaired glucose tolerance, and healthy controls. / Clinical Therapeutics, / 27(11), 1764-773. href="http://dx.doi.org/10.1016/j.clinthera.2005.11.006">CrossRef
    27. Nowatzky, J., Howard, R., Pillinger, M. H., & Krasnokutsky, S. (2010). The role of uric acid and other crystals in osteoarthritis. / Current Rheumatology Reports, / 12(2), 42-48. href="http://dx.doi.org/10.1007/s11926-010-0091-4">CrossRef
    28. Overkamp, K. M., Bakker, B. M., Kotter, P., Luttik, M. A., van Dijken, J. P., & Pronk, J. T. (2002). Metabolic engineering of glycerol production in Saccharomyces cerevisiae. / Applied and Environmental Microbiology, / 68(6), 2814-821. href="http://dx.doi.org/10.1128/AEM.68.6.2814-2821.2002">CrossRef
    29. Paglialunga, S., & Cianflone, K. (2007). Regulation of postprandial lipemia: An update on current trends. / Applied Physiology, Nutrition, and Metabolism, / 32(1), 61-5. href="http://dx.doi.org/10.1139/h06-100">CrossRef
    30. Parfitt, A. M. (2002). Targeted and nontargeted bone remodeling: Relationship to basic multicellular unit origination and progression. / Bone, / 30(1), 5-. href="http://dx.doi.org/10.1016/S8756-3282(01)00642-1">CrossRef
    31. Poppitt, S. D., Keogh, G. F., Lithander, F. E., Wang, Y., Mulvey, T. B., Chan, Y. K., et al. (2008). Postprandial response of adiponectin, interleukin-6, tumor necrosis factor-[alpha], and C-reactive protein to a high-fat dietary load. / Nutrition, / 24(4), 322-29. href="http://dx.doi.org/10.1016/j.nut.2007.12.012">CrossRef
    32. Pugeat, M., Nader, N., Hogeveen, K., Raverot, G., Dechaud, H., & Grenot, C. (2010). Sex hormone-binding globulin gene expression in the liver: Drugs and the metabolic syndrome. / Molecular and Cellular Endocrinology, / 316(1), 53-9. href="http://dx.doi.org/10.1016/j.mce.2009.09.020">CrossRef
    33. Riches, P. L., & Ralston, S. H. (2010). Recent insights into the biology of bone turnover. / Journal of the Royal College of Physicians of Edinburgh, / 40(1), 66-9. href="http://dx.doi.org/10.4997/JRCPE.2010.113">CrossRef
    34. Schett, G., Kiechl, S., Bonora, E., Zwerina, J., Mayr, A., Axmann, R., et al. (2009). Vascular cell adhesion molecule 1 as a predictor of severe osteoarthritis of the hip and knee joints. / Arthritis and Rheumatism, / 60(8), 2381-389. href="http://dx.doi.org/10.1002/art.24757">CrossRef
    35. 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, 214-22. href="http://dx.doi.org/10.1038/msb.2008.50">CrossRef
    36. Spallarossa, P., Garibaldi, S., Barisione, C., Ghigliotti, G., Altieri, P., Tracchi, I., et al. (2008). Postprandial serum induces apoptosis in endothelial cells: Role of polymorphonuclear-derived myeloperoxidase and metalloproteinase-9 activity. / Atherosclerosis, / 198(2), 458-67. href="http://dx.doi.org/10.1016/j.atherosclerosis.2007.11.030">CrossRef
    37. Tsai, W. C., Li, Y. H., Lin, C. C., Chao, T. H., & Chen, J. H. (2004). Effects of oxidative stress on endothelial function after a high-fat meal. / Clinical Science, / 106(3), 315-19. href="http://dx.doi.org/10.1042/CS20030227">CrossRef
    38. 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(11), 5132-141. href="http://dx.doi.org/10.1021/pr900499r">CrossRef
    39. van Eijk, H. M., Deutz, N. E., Wagenmakers, A. J., & Soeters, P. B. (1990). 3-Methylhistidine determined in plasma by “high-performance-lipid chromatography. / Clinical Chemistry, / 36(3), 556-59.
    40. van Ommen, B., Keijer, J., Heil, S. G., & Kaput, J. (2009). Challenging homeostasis to define biomarkers for nutrition related health. / Molecular Nutrition & Food Research, / 53(7), 795-04. href="http://dx.doi.org/10.1002/mnfr.200800390">CrossRef
    41. van Ommen, B., Keijer, J., Kleemann, R., Elliott, R., Drevon, C., McArdle, H., et al. (2008). The challenges for molecular nutrition research 2: Quantification of the nutritional phenotype. / Genes & Nutrition, / 3(2), 51-9. href="http://dx.doi.org/10.1007/s12263-008-0084-3">CrossRef
    42. Volek, J. S., Gomez, A. L., Love, D. M., Avery, N. G., Sharman, M. J., & Kraemer, W. J. (2001). Effects of a high-fat diet on postabsorptive and postprandial testosterone responses to a fat-rich meal. / Metabolism, / 50(11), 1351-355. href="http://dx.doi.org/10.1053/meta.2001.25648">CrossRef
    43. Walsh, J. S., & Henriksen, D. B. (2010). Feeding and bone. / Archives of Biochemistry and Biophysics, / 503(1), 11-9. href="http://dx.doi.org/10.1016/j.abb.2010.06.020">CrossRef
    44. Wang, H., & Eckel, R. H. (2009). Lipoprotein lipase: From gene to obesity. / American Journal of Physiology-Endocrinology and Metabolism, / 297(2), E271–E288. href="http://dx.doi.org/10.1152/ajpendo.90920.2008">CrossRef
    45. Waterworth, D. M., Talmud, P. J., Luan, J., Flavell, D. M., Byrne, C. D., Humphries, S. E., et al. (2003). Variants in the APOC3 promoter insulin responsive element modulate insulin secretion and lipids in middle-aged men. / Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, / 1637(3), 200-06. href="http://dx.doi.org/10.1016/S0925-4439(03)00021-8">CrossRef
    46. Wikoff, W. R., Anfora, A. T., Liu, J., Schultz, P. G., Lesley, S. A., Peters, E. C., et al. (2009). Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. / Proceedings of the National Academy of Sciences of the United States of America, / 106(10), 3698-703. href="http://dx.doi.org/10.1073/pnas.0812874106">CrossRef
    47. Wopereis, S., Rubingh, C. M., Van Erk, M. J., Verheij, E. R., van Vliet, V. 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(2), e4525. href="http://dx.doi.org/10.1371/journal.pone.0004525">CrossRef
    48. Wybranska, I., Malczewska-Malec, M., Niedbal, S., Naskalski, J. W., & Dembinska-Kiec, A. (2003). The TNF-alpha gene NcoI polymorphism at position-308 of the promoter influences insulin resistance, and increases serum triglycerides after postprandial lipaemia in familiar obesity. / Clinical Chemistry and Laboratory Medicine, / 41(4), 501-10. href="http://dx.doi.org/10.1515/CCLM.2003.076">CrossRef
    49. Wyss, M., & Kaddurah-Daouk, R. (2000). Creatine and creatinine metabolism. / Physiological Reviews, / 80(3), 1107-213.
    50. 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(2), E384–E393. href="http://dx.doi.org/10.1152/ajpendo.90748.2008">CrossRef
    51. Zivkovic, A., Wiest, M., Nguyen, U., Nording, M., Watkins, S., & German, J. (2008). Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach. / Metabolomics, / 5(2), 209-18. href="http://dx.doi.org/10.1007/s11306-008-0136-0">CrossRef
  • 作者单位:Linette Pellis (1)
    Marjan J. van Erk (1)
    Ben van Ommen (1)
    Gertruud C. M. Bakker (1)
    Henk F. J. Hendriks (1)
    Nicole H. P. Cnubben (1)
    Robert Kleemann (2)
    Eugene P. van Someren (1)
    Ivana Bobeldijk (3)
    Carina M. Rubingh (1)
    Suzan Wopereis (1)

    1. TNO, PO Box 360, 3700 AJ, Zeist, The Netherlands
    2. TNO, PO Box 2215, 2301 CE, Leiden, The Netherlands
    3. TNO, Triskelion, PO Box 360, 3700 AJ, Zeist, The Netherlands
  • ISSN:1573-3890
文摘
We introduce the metabolomics and proteomics based Postprandial Challenge Test (PCT) to quantify the postprandial response of multiple metabolic processes in humans in a standardized manner. The PCT comprised consumption of a standardized 500?ml dairy shake containing respectively 59, 30 and 12 energy percent lipids, carbohydrates and protein. During a 6?h time course after PCT 145 plasma metabolites, 79 proteins and 7 clinical chemistry parameters were quantified. Multiple processes related to metabolism, oxidation and inflammation reacted to the PCT, as demonstrated by changes of 106 metabolites, 31 proteins and 5 clinical chemistry parameters. The PCT was applied in a dietary intervention study to evaluate if the PCT would reveal additional metabolic changes compared to non-perturbed conditions. The study consisted of a 5-week intervention with a supplement mix of anti-inflammatory compounds in a crossover design with 36 overweight subjects. Of the 231 quantified parameters, 31 had different responses over time between treated and control groups, revealing differences in amino acid metabolism, oxidative stress, inflammation and endocrine metabolism. The results showed that the acute, short term metabolic responses to the PCT were different in subjects on the supplement mix compared to the controls. The PCT provided additional metabolic changes related to the dietary intervention not observed in non-perturbed conditions. Thus, a metabolomics based quantification of a standardized perturbation of metabolic homeostasis is more informative on metabolic status and subtle health effects induced by (dietary) interventions than quantification of the homeostatic situation.

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