Abstract
Objectives
In obese adults the shape of the glucose response curve during an oral glucose tolerance test (OGTT) predicts future type 2 diabetes. Patients with an incessant increase or monophasic curves have increased risk compared to those with biphasic curves. Since type 2 diabetes is associated with increased cardiometabolic risk, we studied whether differences in OGTT response curve are associated with differences in cardiometabolic risk factors in healthy adolescents across a wide body mass index (BMI) range.
Methods
Sixty-nine (33F/36M), white adolescents (age: 15.2 ± 1.7 years; BMI: 21.5 ± 4.7 kg/m2; mean ± SD) were studied. Risk factors measured included percent body fat, blood pressure, lipids, augmentation index, reactive hyperemia, endothelin 1, plasminogen activator 1, inflammatory markers (interleukin 6, c-reactive protein), insulin secretion, insulin sensitivity (Matusda index), and disposition index (DI).
Results
Thirty-two subjects had biphasic responses; 35 subjects had monophasic responses and two females had incessant increases. Sex did not affect the frequency of responses. Glucose area under the curve during OGTT was greater in those with a mono vs. biphasic curves (p=0.01). Disposition index was markedly lower in subjects with a monophasic curve than in those with a biphasic curve (3.6 [2.3–5.0] vs. 5.8 [3.8–7.6], median [25th, 75th%] p=0.003). Triglyceride to high-density lipoprotein cholesterol (HDL) ratio was higher in subjects with a monophasic curve (p=0.046).
Conclusions
The decreased disposition index indicates that in healthy adolescents a monophasic response to OGTT is due to decreased insulin secretion relative to the degree of insulin resistance present. This was not associated with differences in most other cardiometabolic risk markers.
Trial registration
Funding source: American Heart Association
Funding source: National Center for Advancing Translational Sciences
Award Identifier / Grant number: UL1TR001070
Acknowledgments
The authors thank the nursing staff at the Clinical Research Center at the Wexner Medical Center of The Ohio State University and the staff in the Section of Endocrinology at Nationwide Children’s Hospital for their support in this project.
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Research funding: The project was supported by a grant from the Great Rivers Affiliate of the American Heart Association and award number grant UL1TR001070 from the National Center for Advancing Translational Sciences. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Advancing Translational Sciences or the National Institutes of Health.
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Author contributions: RPH designed and oversaw performance of the study, performed statistical analysis, wrote, and approved the final manuscript. MMC helped perform the studies and reviewed the manuscript, DZ performed laboratory measurements and reviewed the manuscript, CYY helped design the study, oversaw laboratory measurements and reviewed the manuscript. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication. The authors have no conflict of interest.
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Informed consent: Written informed assent from the subject and informed consent from a parent or guardian were obtained.
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Ethical approval: The protocol was approved by the Nationwide Children’s Hospital Institutional Review Board and registered on Clinical Trials.gov, NCT02821104.
References
1. Tschritter, O, Fritsche, A, Shirkavand, F, Machicao, F, Häring, H, Stumvoll, M. Assessing the shape of the glucose curve during an oral glucose tolerance test. Diabetes Care 2003;26:1026–33. https://doi.org/10.2337/diacare.26.4.1026.Search in Google Scholar PubMed
2. Manco, M, Nolfe, G, Pataky, Z, Monti, L, Porcellati, F, Gabriel, R, et al.. Shape of the OGTT glucose curve and risk of impaired glucose metabolism in the EGIR-RISC cohort. Metabolism 2017;70:42–50. https://doi.org/10.1016/j.metabol.2017.02.007.Search in Google Scholar PubMed
3. Abdul-Ghani, MA, Lyssenko, V, Tuomi, T, Defronzo, RA, Groop, L. The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes. Diabetes Metabol Res Rev 2010;26:280–6. https://doi.org/10.1002/dmrr.1084.Search in Google Scholar PubMed
4. Bervoets, L, Mewis, A, Massa, G. The shape of the plasma glucose curve during an oral glucose tolerance test as an indicator of beta cell function and insulin sensitivity in end-pubertal obese girls. Horm Metab Res 2015;47:445–51. https://doi.org/10.1055/s-0034-1395551.Search in Google Scholar PubMed
5. Kim, JY, Coletta, DK, Mandarino, LJ, Shaibi, GQ. Glucose response curve and type 2 diabetes risk in Latino adolescents. Diabetes Care 2012;35:1925–30. https://doi.org/10.2337/dc11-2476.Search in Google Scholar PubMed PubMed Central
6. Kim, JY, Michaliszyn, SF, Nasr, A, Lee, S, Tfayli, H, Hannon, T, et al.. The shape of the glucose response curve during an oral glucose tolerance test heralds biomarkers of type 2 diabetes risk in obese youth. Diabetes Care 2016;39:1431–9. https://doi.org/10.2337/dc16-0352.Search in Google Scholar PubMed PubMed Central
7. Kim, JY, Goran, MI, Toledo-Corral, CM, Weigensberg, MJ, Choi, M, Shaibi, GQ. One-hour glucose during an oral glucose challenge prospectively predicts β-cell deterioration and prediabetes in obese Hispanic youth. Diabetes Care 2013;36:1681–6. https://doi.org/10.2337/dc12-1861.Search in Google Scholar PubMed PubMed Central
8. Arslanian, S, El Ghormli, L, Young Kim, J, Bacha, F, Chan, C, Ismail, HM, et al.. The shape of the glucose response curve during an oral glucose tolerance test: forerunner of heightened glycemic failure rates and accelerated decline in β-cell function in TODAY. Diabetes Care 2019;42:164–72. https://doi.org/10.2337/dc18-1122.Search in Google Scholar PubMed PubMed Central
9. Copenhaver, MM, Yu, CY, Zhou, D, Hoffman, RP. Relationships of complement components C3 and C4 and their genetics to cardiometabolic risk in healthy, non-Hispanic white adolescents. Pediatr Res 2020;87:88–94. https://doi.org/10.1038/s41390-019-0534-1.Search in Google Scholar PubMed PubMed Central
10. Hoffman, RP, Copenhaver, MM, Zhou, D, Yu, CY. Increased body fat and reduced insulin sensitivity are associated with impaired endothelial function and subendocardial viability in healthy, non-Hispanic white adolescents. Pediatr Diabetes 2019;20:842–8. https://doi.org/10.1111/pedi.12896.Search in Google Scholar PubMed PubMed Central
11. Khoshdel, AR, Eshtiaghi, R. Assessment of arterial stiffness in metabolic syndrome related to insulin resistance in apparently healthy men. Metab Syndr Relat Disord 2019;17:90–6. https://doi.org/10.1089/met.2018.0090.Search in Google Scholar PubMed
12. Yki-Jarvinen, H, Westerbacka, J. Insulin resistance, arterial stiffness and wave reflection. Adv Cardiol 2007;44:252–60. https://doi.org/10.1159/000096746.Search in Google Scholar PubMed
13. Hinriksdottir, G, Tryggvadottir, A, Olafsdottir, AS, Arngrimsson, SA. Fatness but not fitness relative to the fat-free mass is related to C-reactive protein in 18 year-old adolescents. PLoS One 2015;10:e0130597. https://doi.org/10.1371/journal.pone.0130597.Search in Google Scholar PubMed PubMed Central
14. Hoffman, JI, Buckberg, GD. The myocardial oxygen supply: demand index revisited. J Am Heart Assoc 2014;3:e000285. https://doi.org/10.1161/jaha.113.000285.Search in Google Scholar PubMed PubMed Central
15. Duck, MM, Hoffman, RP. Impaired endothelial function in healthy African-American adolescents compared with Caucasians. J Pediatr 2007;150:400–6. https://doi.org/10.1016/j.jpeds.2006.12.034.Search in Google Scholar PubMed PubMed Central
16. Utzschneider, KM, Prigeon, RL, Faulenbach, MV, Tong, J, Carr, DB, Boyko, EJ, et al.. Oral disposition index predicts the development of future diabetes above and beyond fasting and 2-h glucose levels. Diabetes Care 2009;32:335–41. https://doi.org/10.2337/dc08-1478.Search in Google Scholar PubMed PubMed Central
17. Onat, A, Uzunlar, B, Hergenc, G, Yazici, M, Sari, I, Uyarel, H, et al.. Cross-sectional study of complement C3 as a coronary risk factor among men and women. Clin Sci 2005;108:129–35. https://doi.org/10.1042/cs20040198.Search in Google Scholar PubMed
18. Wei, JN, Li, HY, Sung, FC, Lin, CC, Chiang, CC, Carter, AM, et al.. Obesity and clustering of cardiovascular disease risk factors are associated with elevated plasma complement C3 in children and adolescents. Pediatr Diabetes 2012;13:476–83. https://doi.org/10.1111/j.1399-5448.2012.00864.x.Search in Google Scholar PubMed
19. Hernandez, C, Rodriguez, B, Losada, E, Corraliza, L, Garcia-Ramirez, M, Simo, R. Normoalbuminuric type 1 diabetic patients with retinopathy have an impaired tubular response to desmopressin: its relationship with plasma endothelin-1. J Clin Endocrinol Metabol 2009;94:2060–5. https://doi.org/10.1210/jc.2008-2784.Search in Google Scholar PubMed
20. Ardigo, D, Franzini, L, Valtuena, S, Monti, LD, Reaven, GM, Zavaroni, I. Relation of plasma insulin levels to forearm flow-mediated dilatation in healthy volunteers. Am J Cardiol 2006;97:1250–4. https://doi.org/10.1016/j.amjcard.2005.11.047.Search in Google Scholar PubMed
21. Jonkers, IJAM, van de Ree, MA, Smelt, AHM, de Man, FHAF, Jansen, H, Meinders, AE, et al.. Insulin resistance but not hypertriglyceridemia per se is associated with endothelial dysfunction in chronic hypertriglyceridemia. Cardiovasc Res 2002;53:496–501. https://doi.org/10.1016/s0008-6363(01)00504-1.Search in Google Scholar PubMed
22. Lteif, AA, Han, K, Mather, KJ. Obesity, insulin resistance, and the metabolic syndrome: determinants of endothelial dysfunction in whites and blacks. Circulation 2005;112:32–8. https://doi.org/10.1161/circulationaha.104.520130.Search in Google Scholar PubMed
23. Kapiotis, S, Holzer, G, Schaller, G, Haumer, M, Widhalm, H, Weghuber, D, et al.. A proinflammatory state is detectable in obese children and is accompanied by functional and morphological vascular changes. Arterioscler Thromb Vasc Biol 2006;26:2541–6. https://doi.org/10.1161/01.atv.0000245795.08139.70.Search in Google Scholar
24. Lee, S, Gungor, N, Bacha, F, Arslanian, S. Insulin resistance: link to the components of the metabolic syndrome and biomarkers of endothelial dysfunction in youth. Diabetes Care 2007;30:2091–7. https://doi.org/10.2337/dc07-0203.Search in Google Scholar PubMed
25. Meyer, AA, Kundt, G, Steiner, M, Schuff-Werner, P, Kienast, W. Impaired flow-mediated vasodilation, carotid artery intima-media thickening, and elevated endothelial plasma markers in obese children: the impact of cardiovascular risk factors. Pediatrics 2006;117:1560–7. https://doi.org/10.1542/peds.2005-2140.Search in Google Scholar PubMed
26. Lentferink, YE, Kromwijk, LAJ, van der Aa, MP, Knibbe, CAJ, van der Vorst, MMJ. Increased arterial stiffness in adolescents with obesity. Global Pediatr Health 2019;6:2333794x19831297. https://doi.org/10.1177/2333794x19831297.Search in Google Scholar
27. Mikola, H, Pahkala, K, Niinikoski, H, Ronnemaa, T, Viikari, JSA, Jula, A, et al.. Cardiometabolic determinants of carotid and aortic distensibility from childhood to early adulthood. Hypertension 2017;70:452–60. https://doi.org/10.1161/hypertensionaha.117.09027.Search in Google Scholar
28. Joo Turoni, C, Maranon, RO, Felipe, V, Bruno, ME, Negrete, A, Salas, N, et al.. Arterial stiffness and endothelial function in obese children and adolescents and its relationship with cardiovascular risk factors. Horm Res Paediatr 2013;80:281–6. https://doi.org/10.1159/000354991.Search in Google Scholar PubMed
29. Hoffman, RP. Nontraditional cardiovascular risk factors in pediatric type 1 diabetes. Curr Diabetes Rev 2017;13:528–32.10.2174/1573399812666161201205322Search in Google Scholar PubMed
30. Dye, AS, Huang, H, Bauer, JA, Hoffman, RP. Hyperglycemia increases muscle blood flow and alters endothelial function in adolescents with type 1 diabetes. Exp Diabetes Res 2012;2012:9. https://doi.org/10.1155/2012/170380.Search in Google Scholar PubMed PubMed Central
31. DiMeglio, LA, Tosh, A, Saha, C, Estes, M, Mund, J, Mead, LE, et al.. Endothelial abnormalities in adolescents with type 1 diabetes: a biomarker for vascular sequelae? J Pediatr 2010;157:540–6. https://doi.org/10.1016/j.jpeds.2010.04.050.Search in Google Scholar PubMed PubMed Central
32. Eltayeb, AA, Ahmad, FA, Sayed, DM, Osama, AM. Subclinical vascular endothelial dysfunctions and myocardial changes with type 1 diabetes mellitus in children and adolescents. Pediatr Cardiol 2014;35:965–74. https://doi.org/10.1007/s00246-014-0883-9.Search in Google Scholar PubMed
33. Gallo, LM, Silverstein, JH, Shuster, JJ, Haller, MJ. Arterial stiffness, lipoprotein particle size, and lipoprotein particle concentration in children with type 1 diabetes. J Pediatr Endocrinol Metab 2010;23:661–7. https://doi.org/10.1515/jpem.2010.23.7.661.Search in Google Scholar PubMed PubMed Central
34. Shah, AS, Dolan, LM, Gao, Z, Kimball, TR, Urbina, EM. Racial differences in arterial stiffness among adolescents and young adults with type 2 diabetes. Pediatr Diabetes 2012;13:170–5. https://doi.org/10.1111/j.1399-5448.2011.00798.x.Search in Google Scholar PubMed PubMed Central
35. Shah, AS, Urbina, EM. Vascular and endothelial function in youth with type 2 diabetes mellitus. Curr Diabetes Rep 2017;17:36. https://doi.org/10.1007/s11892-017-0869-0.Search in Google Scholar PubMed PubMed Central
36. Bacha, F, Tomsa, A, Bartz, SK, Barlow, SE, Chu, ZD, Krishnamurthy, R, et al.. Nonalcoholic fatty liver disease in hispanic youth with dysglycemia: risk for subclinical atherosclerosis? J Endocr Soc 2017;1:1029–40. https://doi.org/10.1210/js.2017-00257.Search in Google Scholar PubMed PubMed Central
37. Bergman, RN, Stefanovski, D, Kim, SP. Systems analysis and the prediction and prevention of type 2 diabetes mellitus. Curr Opin Biotechnol 2014;28:165–70. https://doi.org/10.1016/j.copbio.2014.05.007.Search in Google Scholar PubMed PubMed Central
38. Hoffman, RP. Increased fasting triglyceride levels are associated with hepatic insulin resistance in Caucasian but not African-American adolescents. Diabetes Care 2006;29:1402–4. https://doi.org/10.2337/dc06-2460.Search in Google Scholar PubMed
39. Hoffman, RP. Metabolic syndrome racial differences in adolescents. Curr Diabetes Rev 2009;5:259–65. https://doi.org/10.2174/157339909789804332.Search in Google Scholar PubMed
40. Sumner, AE, Finley, KB, Genovese, DJ, Criqui, MH, Boston, RC. Fasting triglyceride and the triglyceride-HDL cholesterol ratio are not markers of insulin resistance in African Americans. Arch Intern Med 2005;165:1395–400. https://doi.org/10.1001/archinte.165.12.1395.Search in Google Scholar PubMed
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