Log in

Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk

  • Original Article
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups. We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test, resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic risk factor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7–12 mmol/L, and 35–70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. K. Faerch, A. Hulman, T.P. Solomon, Heterogeneity of Pre-diabetes and Type 2 Diabetes: Implications for Prediction, Prevention and Treatment Responsiveness. Curr. Diabetes Rev. 12, 30–41 (2016)

    Article  CAS  PubMed  Google Scholar 

  2. K. Faerch, D.R. Witte, A.G. Tabak, L. Perreault, C. Herder, E.J. Brunner, M. Kivimaki, D. Vistisen, Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: a post-hoc analysis of the longitudinal Whitehall II cohort study. Lancet Diabetes Endocrinol 1, 43–51 (2013)

    Article  PubMed  Google Scholar 

  3. M.A. Abdul-Ghani, V. Lyssenko, T. Tuomi, R.A. Defronzo, L. Groop, The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes. Diabetes Metab. Res. Rev. 26, 280–286 (2010)

    Article  CAS  PubMed  Google Scholar 

  4. M.A. Abdul-Ghani, K. Williams, R.A. DeFronzo, M. Stern, What is the best predictor of future type 2 diabetes? Diabetes Care 30, 1544–1548 (2007)

    Article  PubMed  Google Scholar 

  5. A. Alyass, P. Almgren, M. Akerlund, J. Dushoff, B. Isomaa, P. Nilsson, T. Tuomi, V. Lyssenko, L. Groop, D. Meyre, Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts. Diabetologia 58, 87–97 (2015)

    Article  CAS  PubMed  Google Scholar 

  6. M. Bergman, A. Chetrit, J. Roth, R. Dankner, Dysglycemia and long-term mortality: observations from the Israel study of glucose intolerance, obesity and hypertension. Diabetes Metab. Res. Rev. 31, 368–375 (2015)

    Article  CAS  PubMed  Google Scholar 

  7. R. Jagannathan, M.A. Sevick, H. Li, D. Fink, R. Dankner, A. Chetrit, J. Roth, M. Bergman, Elevated 1-hour plasma glucose levels are associated with dysglycemia, impaired beta-cell function, and insulin sensitivity: a pilot study from a real world health care setting. Endocrine 52, 172–175 (2016)

    Article  CAS  PubMed  Google Scholar 

  8. M. Kanauchi, K. Kimura, K. Kanauchi, Y. Saito, Beta-cell function and insulin sensitivity contribute to the shape of plasma glucose curve during an oral glucose tolerance test in non-diabetic individuals. Int. J. Clin. Pract. 59, 427–432 (2005)

    Article  CAS  PubMed  Google Scholar 

  9. K. Faerch, A. Vaag, J.J. Holst, C. Glumer, O. Pedersen, K. Borch-Johnsen, Impaired fasting glycaemia vs impaired glucose tolerance: similar impairment of pancreatic alpha and beta cell function but differential roles of incretin hormones and insulin action. Diabetologia 51, 853–861 (2008)

    Article  CAS  PubMed  Google Scholar 

  10. J.M. Rijkelijkhuizen, C.J. Girman, A. Mari, M. Alssema, T. Rhodes, G. Nijpels, P.J. Kostense, P.P. Stein, E.M. Eekhoff, R.J. Heine, J.M. Dekker, Classical and model-based estimates of beta-cell function during a mixed meal vs. an OGTT in a population-based cohort. Diabetes Res. Clin. Pract. 83, 280–288 (2009)

    Article  PubMed  Google Scholar 

  11. T.P. Solomon, S.K. Malin, K. Karstoft, S.H. Knudsen, J.M. Haus, M.J. Laye, J.P. Kirwan, Association between cardiorespiratory fitness and the determinants of glycemic control across the entire glucose tolerance continuum. Diabetes Care. 38, 921–929 (2015)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. L.H. Larsen, A.P. Gjesing, T.I. Sorensen, Y.H. Hamid, S.M. Echwald, S. Toubro, E. Black, A. Astrup, T. Hansen, O. Pedersen, Mutation analysis of the preproghrelin gene: no association with obesity and type 2 diabetes. Clin. Biochem. 38, 420–424 (2005)

    Article  CAS  PubMed  Google Scholar 

  13. A.P. Gjesing, C.T. Ekstrom, H. Eiberg, S.A. Urhammer, J.J. Holst, O. Pedersen, T. Hansen, Fasting and oral glucose-stimulated levels of glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) are highly familial traits. Diabetologia 55, 1338–1345 (2012)

    Article  CAS  PubMed  Google Scholar 

  14. T. Jorgensen, K. Borch-Johnsen, T.F. Thomsen, H. Ibsen, C. Glumer, C. Pisinger, A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: baseline results Inter99. Eur. J. Cardiovasc. Prev. Rehabil. 10, 377–386 (2003)

    Article  PubMed  Google Scholar 

  15. L. Andersen, B. Dinesen, P.N. Jorgensen, F. Poulsen, M.E. Roder, Enzyme immunoassay for intact human insulin in serum or plasma. Clin. Chem. 39, 578–582 (1993)

    CAS  PubMed  Google Scholar 

  16. C. Proust-Lima, V. Phillips, B. Liquet, Estimation of extended mixed models using latent classes and latent processes: The R package lcmm. https://arxiv.org/pdf/1503.00890.pdf. Accessed 24 Jan 2016

  17. R.M. Conroy, K. Pyorala, A.P. Fitzgerald, S. Sans, A. Menotti, G. De Backer, D. De Bacquer, P. Ducimetiere, P. Jousilahti, U. Keil, I. Njolstad, R.G. Oganov, T. Thomsen, H. Tunstall-Pedoe, A. Tverdal, H. Wedel, P. Whincup, L. Wilhelmsen, I.M. Graham, Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur. Heart. J. 24, 987–1003 (2003)

    Article  CAS  PubMed  Google Scholar 

  18. M. Matsuda, R.A. DeFronzo, Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 22, 1462–1470 (1999)

    Article  CAS  PubMed  Google Scholar 

  19. D.I. Phillips, P.M. Clark, C.N. Hales, C. Osmond, Understanding oral glucose tolerance: comparison of glucose or insulin measurements during the oral glucose tolerance test with specific measurements of insulin resistance and insulin secretion. Diabet. Med. 11, 286–292 (1994)

    Article  CAS  PubMed  Google Scholar 

  20. R Development Core Team. R: A language and environment for statistical computing. In. R Foundation for Statistical Computing, Vienna, Austria, (2015)

    Google Scholar 

  21. D. Carpenter, S. Dhar, L.M. Mitchell, B. Fu, J. Tyson, N.A.A. Shwan, F. Yang, M.G. Thomas, J.A.L. Armour, Obesity, starch digestion and amylase: association between copy number variants at human salivary (AMY1) and pancreatic (AMY2) amylase genes. Hum. Mol. Gen. 24, 3472–3480 (2015)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. N. Guess, L. Perreault, A. Kerege, A. Strauss, B.C. Bergman, Dietary Fatty Acids Differentially Associate with Fasting Versus 2-Hour Glucose Homeostasis: Implications for The Management of Subtypes of Prediabetes. PLoS ONE 11, e0150148 (2016)

    Article  PubMed  PubMed Central  Google Scholar 

  23. L.P. Lidegaard, A.L. Hansen, N.B. Johansen, D.R. Witte, S. Brage, T. Lauritzen, M.E. Jorgensen, D.L. Christensen, K. Faerch, Physical activity energy expenditure vs cardiorespiratory fitness level in impaired glucose metabolism. Diabetologia. 58, 2709–2717 (2015)

    Article  CAS  PubMed  Google Scholar 

  24. K. Faerch, K. Borch-Johnsen, A. Vaag, T. Jorgensen, D.R. Witte, Sex differences in glucose levels: a consequence of physiology or methodological convenience? The Inter99 study. Diabetologia 53, 858–865 (2010)

    Article  CAS  PubMed  Google Scholar 

  25. W. Rathmann, K. Strassburger, G. Giani, A. Doring, C. Meisinger, Differences in height explain gender differences in the response to the oral glucose tolerance test. Diabet. Med. 25, 1374–1375 (2008)

    CAS  PubMed  Google Scholar 

  26. C.S. Marathe, C.K. Rayner, K.L. Jones, M. Horowitz, Relationships between gastric emptying, postprandial glycemia, and incretin hormones. Diabetes Care 36, 1396–1405 (2013)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. K. Faerch, G. Pacini, J.J. Nolan, T. Hansen, A. Tura, D. Vistisen, Impact of glucose tolerance status, sex, and body size on glucose absorption patterns during OGTTs. Diabetes Care 36, 3691–3697 (2013)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. J.J. Holst, F. Gribble, M. Horowitz, C.K. Rayner, Roles of the Gut in Glucose Homeostasis. Diabetes Care 39, 884–892 (2016)

    Article  CAS  PubMed  Google Scholar 

  29. M. Lind, J. Tuomilehto, M. Uusitupa, O. Nerman, J. Eriksson, P. Ilanne-Parikka, S. Keinanen-Kiukaanniemi, M. Peltonen, A. Pivodic, J. Lindstrom, The association between HbA1c, fasting glucose, 1-hour glucose and 2-hour glucose during an oral glucose tolerance test and cardiovascular disease in individuals with elevated risk for diabetes. PLoS ONE 9, e109506 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  30. Glucose tolerance and cardiovascular mortality, comparison of fasting and 2-hour diagnostic criteria. Arch. Intern. Med. 161, 397–405 (2001)

    Article  Google Scholar 

  31. S. Soulimane, D. Simon, W.H. Herman, C. Lange, C.M. Lee, S. Colagiuri, J.E. Shaw, P.Z. Zimmet, D. Magliano, S.R. Ferreira, Y. Dong, L. Zhang, T. Jorgensen, J. Tuomilehto, V. Mohan, D.L. Christensen, L. Kaduka, J.M. Dekker, G. Nijpels, C.D. Stehouwer, O. Lantieri, W.Y. Fujimoto, D.L. Leonetti, M.J. McNeely, K. Borch-Johnsen, E.J. Boyko, D. Vistisen, B. Balkau, HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis. Diabetologia 57, 30–39 (2014)

    Article  CAS  PubMed  Google Scholar 

  32. M. Manco, S. Panunzi, D.P. Macfarlane, A. Golay, O. Melander, T. Konrad, J.R. Petrie, G. Mingrone, One-hour plasma glucose identifies insulin resistance and beta-cell dysfunction in individuals with normal glucose tolerance: cross-sectional data from the Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) study. Diabetes Care 33, 2090–2097 (2010)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. L. Perreault, S.E. Kahn, C.A. Christophi, W.C. Knowler, R.F. Hamman, Regression from pre-diabetes to normal glucose regulation in the diabetes prevention program. Diabetes Care 32, 1583–1588 (2009)

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

A.H., R.K.S. and D.R.W. are supported by the Danish Diabetes Academy. The Danish Diabetes Academy is funded by the Novo Nordisk Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adam Hulman.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hulman, A., Simmons, R.K., Vistisen, D. et al. Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. Endocrine 55, 427–434 (2017). https://doi.org/10.1007/s12020-016-1126-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12020-016-1126-z

Keywords

Navigation