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Evaluation of the relationship between the one-hour plasma glucose concentration and beta-cell functions and cardiometabolic parameters during oral glucose tolerance test in obese children and adolescents

  • Eda Mengen ORCID logo EMAIL logo and Seyit Ahmet Uçaktürk ORCID logo
Published/Copyright: May 24, 2020

Abstract

Background

In this study, we aimed to evaluate the relationship between the 1-h plasma glucose (PG) level in the oral glucose tolerance test (OGTT) and conventional glycemic parameters, indices evaluating beta-cell functions, and cardiometabolic risk factors.

Methods

The records of 532 obese patients who were followed up in the Pediatric Endocrinology Polyclinic and who underwent standard OGTT were evaluated retrospectively. All patients were divided into two groups according to OGTT data as the 1-h plasma glucose concentration <155 mg/dL (n=329) and ≥155 mg/dL (n=203). Patients with normal glucose tolerance (NGT) were divided into two groups according to the 1-h PG level, as 218 patients with NGT 1 h-low (<155 mg/dL) and 53 patients with high NGT 1 h-high (≥155 mg/dL).

Results

There was a statistically significant difference between the lipid profiles of individuals with NGT 1 h-low (<155 mg/dL) and individuals with NGT 1 h-high (≥155 mg/dL) (p<0.001). Total cholesterol, LDL cholesterol, and triglyceride levels were higher, while HDL cholesterol levels were lower in individuals with NGT 1 h-high (≥155 mg/dL). The indices evaluating beta-cell functions were significantly higher in individuals with NGT 1 h-low (<155 mg/dL).

Conclusion

As a result, a plasma glucose concentration above or equal to 155 mg/dL at 1 h during an OGTT is associated with a worse clinical phenotype characterized by changes in insulin sensitivity and β-cell function. Therefore, this threshold value can predict the progression of prediabetes in obese young people with NGT.


Corresponding author: Eda Mengen, Department of Pediatric Endocrinology, Ankara City Hospital, Children's Hospital, Ankara, Turkey, Phone: +90 312 552 60 00, E-mail:

  1. Financial disclosure: No financial disclosure.

  2. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  3. Conflict of interest: The authors declare no conflict of interest.

References

1. World Health Organization. Childhood Obesity and overweight. 2017. Available at: https://www.who.int/dietphysicalactivity/childhood/en/ [Accessed 18 Feb 2020].Search in Google Scholar

2. Boisvert, J., Harrell, W., 2015. Integrative treatment of pediatric obesity: psychological and spiritual considerations. Integr Med (Encinitas) 14, 40–7. PMID: 26770130.Search in Google Scholar PubMed

3. Bereket A, Atay Z. Current status of childhood obesity and its associated morbidities in Turkey. J Clin Res Pediatr Endocrinol 2012 Mar;4:1-7. https://doi.org/10.4274/jcrpe.506.10.4274/jcrpe.506Search in Google Scholar PubMed PubMed Central

4. Jagannathan R, Sevick MA, Fink D, Dankner R, Chetrit A, Roth J, et al. The 1-hour post-load glucose level is more effective than HbA1c for screening dysglycemia. Acta Diabetol 2016 Aug;53:543–50. https://doi.org/10.1007/s00592-015-0829-6.10.1007/s00592-015-0829-6Search in Google Scholar PubMed

5. Haffner SM, Stern MP, Hazuda HP, Mitchell BD, Patterson JK. Cardiovascular risk factors in confirmed prediabetic individuals: Does the clock for coronary heart disease start ticking before the onset of clinical diabetes?. JAMA 1990;263:2893–8. https://doi.org/10.1001/jama.1990.03440210043030.10.1001/jama.1990.03440210043030Search in Google Scholar

6. Bergman M. The early diabetes intervention program–Is early actually late?. Diabetes/Metab Res Rev 2014;30:654–8. https://doi.org/10.1002/dmrr.2563.10.1002/dmrr.2563Search in Google Scholar PubMed

7. Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, et al. American Diabetes Association. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care 2007 Mar;30:753–9. https://doi.org/10.2337/dc07-9920.10.2337/dc07-9920Search in Google Scholar PubMed

8. Bergman M, Chetrit A, Roth J, Dankner R. Dysglycemia and long-term mortality: observations from the Israel study of glucose intolerance, obesity and hypertension. Diabetes/Metab Res Rev 2015;31:368–75. https://doi.org/10.1002/dmrr.2618.10.1002/dmrr.2618Search in Google Scholar PubMed

9. Jagannathan R, Sevick MA, Li H, Fink D, Dankner R, Chetrit A, et al. 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 2016 Apr;52:172–5. https://doi.org/10.1007/s12020-015-0746-z.10.1007/s12020-015-0746-zSearch in Google Scholar PubMed PubMed Central

10. Abdul-Ghani MA, Lyssenko V, Tuomi T, DeFronzo RA, Groop L. Fasting versus post-load plasma glucose concentration and the risk for future type 2 diabetes: results from the Botnia study. Diabetes Care 2009;32:281–6. https://doi.org/10.2337/dc08-1264.10.2337/dc08-1264Search in Google Scholar PubMed PubMed Central

11. Alyass A, Almgren P, Akerlund M, Dushoff J, Isomaa B, Nilsson P, et al. 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 2015;58:87–97. https://doi.org/10.1007/s00125-014-3390-x.10.1007/s00125-014-3390-xSearch in Google Scholar PubMed

12. Sesti G, Hribal ML, Fiorentino TV, Sciacqua A, Perticone F. Elevated 1 h postload plasma glucose levels identify adults with normal glucose tolerance but increased risk of non-alcoholic fatty liver disease. BMJ Open Diabetes Res Care 2014;2:e000016. https://doi.org/10.1136/bmjdrc-2014-000016.10.1136/bmjdrc-2014-000016Search in Google Scholar PubMed PubMed Central

13. Bardini G, Dicembrini I, Cresci B, Rotella CM. Inflammation markers and metabolic characteristics of subjects with 1-h plasma glucose levels. Diabetes Care 33:411–3. https://doi.org/10.2337/dc09-1342.10.2337/dc09-1342Search in Google Scholar PubMed PubMed Central

14. Succurro E, Marini MA, Arturi F, Grembiale A, Lugarà M, Andreozzi F, et al. Elevated onehour post-load plasma glucose levels identifies subjects with normal glucose tolerance but early carotid atherosclerosis. Atherosclerosis 2010;207:245–9. https://doi.org/10.1016/j.atherosclerosis.2009.04.006.10.1016/j.atherosclerosis.2009.04.006Search in Google Scholar PubMed

15. Temelkova-Kurktschiev TS, Koehler C, Henkel E, Leonhardt W, Fuecker K, Hanefeld M. Postchallenge plasma glucose and glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1c level. Diabetes Care 2000;23:1830–34. https://doi.org/10.2337/diacare.23.12.1830.10.2337/diacare.23.12.1830Search in Google Scholar PubMed

16. Succurro E, Arturi F, Lugarà M, Grembiale A, Fiorentino TV, Caruso V, et al. One-hour postload plasma glucose levels are associated with kidney dysfunction. Clin J Am Soc Nephrol CJASN 2010;5:1922–27. https://doi.org/10.2215/cjn.03240410.10.2215/CJN.03240410Search in Google Scholar PubMed PubMed Central

17. Marini MA, Succurro E, Frontoni S, Mastroianni S, Arturi F, Sciacqua A, et al. Insulin sensitivity, beta-cell function, and incretin effect in individuals with elevated 1-hour postload plasma glucose levels. Diabetes Care 2012;35:868–72. https://doi.org/10.2337/dc11-2181.10.2337/dc11-2181Search in Google Scholar PubMed PubMed Central

18. Bianchi C, Miccoli R, Trombetta M, Giorgino F, Frontoni S, Faloia E, et al. Elevated 1-hour postload plasma glucose levels identify subjects with normal glucose tolerance but impaired beta-cell function, insulin resistance, and worse cardiovascular risk profile: the GENFIEV study. Journal Clin Endocrinol Metab 2013;98:2100–05. https://doi.org/10.1210/jc.2012-3971.10.1210/jc.2012-3971Search in Google Scholar PubMed

19. World Health Organization.Obesity and overweight Fact Sheet. 2016. Available at: https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight [Accessed18 Feb 2020].Search in Google Scholar

20. Neyzi O, Bundak R, Gökçay G, Günöz H, Furman A, Darendeliler F, et al. Reference values for weight, height, head circumference, and body mass index in Turkish children. J Clin Res Pediatr Endocrinol 2015;7:280–93. https://doi.org/10.4274/jcrpe.2183.10.4274/jcrpe.2183Search in Google Scholar PubMed PubMed Central

21. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in girls. Arch Dis Child 1969;44:291–303. https://doi.org/10.1136/adc.44.235.291.10.1136/adc.44.235.291Search in Google Scholar PubMed PubMed Central

22. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child 1970;45:13–23. https://doi.org/10.1136/adc.45.239.13.10.1136/adc.45.239.13Search in Google Scholar PubMed PubMed Central

23. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents, 2004 Aug. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 114 (2 Suppl 4th Report), 555–76. PMID: 15286277.10.1542/peds.114.S2.555Search in Google Scholar PubMed

24. Warnick GR, Knopp RH, Fitzpatrick V, Branson L. Estimating low-density lipoprotein cholesterol by the Friedewald equation is adequate for classifying patients on the basis of nationally recommended cutpoints. Clin Chem 1990;36:15–9. https://doi.org/10.1111/pedi.12719.10.1093/clinchem/36.1.15Search in Google Scholar

25. Zeitler P, Arslanian S, Fu J, Pinhas-Hamiel O, Reinehr T, Tandon N, et al. ISPAD Clinical Practice Consensus Guidelines 2018: Type 2 diabetes mellitus in youth. Pediatr Diabetes 2018 Oct;19(27 Suppl):28–46. https://doi.org/10.1111/pedi.12719.10.1111/pedi.12719Search in Google Scholar PubMed

26. American Diabetes Association. Classification and Diagnosis of Diabetes. Diabetes Care 2017;40(1 Suppl):S11–24. https://doi.org/10.2337/dc17-s005.10.2337/dc17-S005Search in Google Scholar PubMed

27. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985 Jul;28:412–9. https://doi.org/10.1007/bf00280883.10.1007/BF00280883Search in Google Scholar PubMed

28. Valerio G, Licenziati MR, Iannuzzi A, Franzese A, Siani P, Riccardi G, et al. Insulin resistance and impaired glucose tolerance in obese children and adolescents from Southern Italy. Nutr Metab Cardiovasc Dis 2006;16:279–84. https://doi.org/10.1016/j.numecd.2005.12.007.10.1016/j.numecd.2005.12.007Search in Google Scholar PubMed

29. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 1999;22:1462–70. https://doi.org/10.2337/diacare.22.9.1462.10.2337/diacare.22.9.1462Search in Google Scholar PubMed

30. Seltzer HS, Allen EW, Herron AL Jr, Brennan MT. Insulin secretion in response to glycemic stimulus: relation of delayed initial release to carbohydrate intolerance in mild diabetes mellitus. J Clin Invest 1967;46:323–35. https://doi.org/10.1172/jci105534.10.1172/JCI105534Search in Google Scholar PubMed PubMed Central

31. 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/dc08-1478.10.2337/dc08-1478Search in Google Scholar PubMed PubMed Central

32. Akcan N, Obaid M, Salem J, Bundak R. Evidence in obese children: contribution of tri-ponderal mass index or body mass index to dyslipidemia, obesity-inflammation, and insulin sensitivity. J Pediatr Endocrinol Metab 2020 Feb 25;33:223–31. PubMed PMID: 31809264. https://doi.org/10.1515/jpem-2019-0106.10.1515/jpem-2019-0106Search in Google Scholar PubMed

33. Sinha R, Fisch G, Teague B, Tamborlane WV, Banyas B, Allen K, et al. Prevalence of impaired glucose tolerance among children and adolescents with marked obesity. N Engl J Med 2002 Mar 14;346:802–10. https://doi.org/10.1056/nejmoa012578.10.1056/NEJMoa012578Search in Google Scholar PubMed

34. Goran MI, Bergman RN, Avila Q, Watkins M, Ball GD, Shaibi GQ, et al. Impaired glucose tolerance and reduced beta-cell function in overweight Latino children with a positive family history for type 2 diabetes. J Clin Endocrinol Metab 2004 Jan;89:207–12. https://doi.org/10.1210/jc.2003-031402.10.1210/jc.2003-031402Search in Google Scholar PubMed

35. The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 1997 Jul;20:1183–97. https://doi.org/10.2337/diacare.20.7.1183.10.2337/diacare.20.7.1183Search in Google Scholar PubMed

36. Unwin N, Shaw J, Zimmet P, Alberti KG. Impaired glucose tolerance and impaired fasting glycaemia: the current status on definition and intervention. Diabet Med 2002 Sep;19:708–23.Review. https://doi.org/10.1046/j.1464-5491.2002.00835.x.10.1046/j.1464-5491.2002.00835.xSearch in Google Scholar PubMed

37. Gerstein HC, Santaguida P, Raina P, Morrison KM, Balion C, Hunt D, et al. Annual incidence and relative risk of diabetes in people with various categories of dysglycemia: a systematic overview and meta-analysis of prospective studies. Diabetes Res Clin Pract 2007 Dec;78:305–12. https://doi.org/10.1016/j.diabres.2007.05.004.10.1016/j.diabres.2007.05.004Search in Google Scholar PubMed

38. Weiss R, Taksali SE, Tamborlane WV, Burgert TS, Savoye M, Caprio S. Predictors of changes in glucose tolerance status in obese youth. Diabetes Care 2005 Apr;28:902–9. https://doi.org/10.2337/diacare.28.4.902.10.2337/diacare.28.4.902Search in Google Scholar PubMed

39. Goran MI, Lane C, Toledo-Corral C, Weigensberg MJ. Persistence of prediabetes in overweight and obese Hispanic children: association with progressive insulin resistance, poor beta-cell function, and increasing visceral fat. Diabetes 2008 Nov;57:3007–12. https://doi.org/10.2337/db08-0445.10.2337/db08-0445Search in Google Scholar PubMed PubMed Central

40. Fiorentino TV, Marini MA, Andreozzi F, Arturi F, Succurro E, Perticone M, et al. One-Hour Postload Hyperglycemia Is a Stronger Predictor of Type 2 Diabetes Than Impaired Fasting Glucose. J Clin Endocrinol Metab 2015 Oct;100:3744–51. Epub 2015 Aug 14. PubMed PMID: 26274345. https://doi.org/10.1210/jc.2015-2573.10.1210/jc.2015-2573Search in Google Scholar PubMed

41. Abdul-Ghani MA, Abdul-Ghani T, Ali N, DeFronzo RA. One-hour plasma glucose concentration and the metabolic syndrome identify subjects at high risk for future type 2 diabetes. Diabetes Care 2008;31:1650–55. https://doi.org/10.2337/dc08-0225.10.2337/dc08-0225Search in Google Scholar PubMed PubMed Central

42. Priya M, Anjana RM, Chiwanga FS, Gokulakrishnan K, Deepa M, Mohan V. 1-hour venous plasma glucose and incident prediabetes and diabetes in Asian Indians. Diabetes Technol Ther 2013;15:497–502. https://doi.org/10.1089/dia.2013.0025.10.1089/dia.2013.0025Search in Google Scholar PubMed

43. Arcari AJ, Freire AV, Escobar ME, Ballerini MG, Ropelato MG, Bergadá I, et al. One-year treatment with gonadotropin-releasing hormone analogues does not affect body mass index, insulin sensitivity or lipid profile in girls with central precocious puberty. J Pediatr Endocrinol Metab 2019 Feb 25;32:181–6. https://doi.org/10.1515/jpem-2018-0290.10.1515/jpem-2018-0290Search in Google Scholar PubMed

44. Goran MI, Gower BA. Longitudinal study on pubertal insulin resistance. Diabetes 2001 Nov;50:2444–50. https://doi.org/10.2337/diabetes.50.11.2444.10.2337/diabetes.50.11.2444Search in Google Scholar PubMed

45. Tfayli H, Lee SJ, Bacha F, Arslanian S. One-hour plasma glucose concentration during the OGTT: what does it tell about β-cell function relative to insulin sensitivity in overweight/obese children?. Pediatr Diabetes 2011 Sep;12:572–9. https://doi.org/10.1111/j.1399-5448.2011.00745.x.10.1111/j.1399-5448.2011.00745.xSearch in Google Scholar PubMed PubMed Central

46. 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 Jun;36:1681–6. https://doi.org/10.2337/dc12-1861.10.2337/dc12-1861Search in Google Scholar PubMed PubMed Central

47. Sciacqua A, Miceli S, Carullo G, Greco L, Succurro E, Arturi F, et al. One-hour post-load plasma glucose levels and left ventricular mass in hypertensive patients. Diabetes Care 2011;34:1406–11. https://doi.org/10.2337/dc11-0155.10.2337/dc11-0155Search in Google Scholar PubMed PubMed Central

48. Succurro E, Frontoni S, Mastroianni S, Arturi F, Sciacqua A, Lauro R, et al. Insulin sensitivity, -cell function, and incretin effect in individuals with elevated 1-h postload plasma glucose levels. Diabetes Care 2012;35:868–72. https://doi.org/10.2337/dc11-2181.10.2337/dc11-2181Search in Google Scholar PubMed PubMed Central

49. Perticone F, Sciacqua A, Perticone M, Arturi F, Scarpino PE, Quero M, et al. Serum uric acid and 1-h postload glucose in essential hypertension. Diabetes Care 2012;35:153–7. https://doi.org/10.2337/dc11-1727.10.2337/dc11-1727Search in Google Scholar PubMed PubMed Central

50. Manco M, Panunzi S, Macfarlane DP, Golay A, Melander O, Konrad T, et al. Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) Consortium. 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 2010;33:2090–7. https://doi.org/10.2337/dc09-2261.10.2337/dc09-2261Search in Google Scholar PubMed PubMed Central

Received: 2020-01-13
Accepted: 2020-03-19
Published Online: 2020-05-24

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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