The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes
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Background: The aim of the study is to assess the relationship between the shape of plasma glucose concentration during the OGTT and future risk for T2DM. Methods: 2445 non‐diabetic subjects from the Botnia study received an OGTT at baseline and after 7–8 years of follow‐up. Results: NGT and IFG subjects who returned their plasma glucose concentration following an ingested glucose load below FPG within 60 min had increased insulin sensitivity, greater insulin secretion and lower risk for future T2DM compared to NGT and IFG subjects whose post‐load plasma glucose concentration required 120 min or longer to return their plasma glucose level to FPG level. IGT subjects who had a lower plasma glucose concentration at 1‐h compared to 2‐h during OGTT had greater insulin sensitivity, better beta cell function and lower risk for future T2DM. Conclusions: These data suggest that the shape of glucose curve can be utilized to assess future risk for T2DM. Copyright © 2010 John Wiley & Sons, Ltd.
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The difference in diabetes incidence between our study and Abdul-Ghani et al. could be explained by dietary recommendations or metformin.
“This difference could be explained by the dietary recommendations or the recommendation for drug therapy with metformin among our patients.”
From Spontaneous hypoglycemia: should we mind the gap? Long-term follow-up of healthy people who met Whipple’s triad criteria (2024) · cites this paper as [49]
The Results report diabetes incidence in Abdul-Ghani et al.’s cohort, and the Discussion recommends considering lifestyle change and pharmacological therapy to reduce future risk. The paper does not establish that dietary recommendations or metformin explain an incidence difference between that cohort and the citing authors’ patients; that explanation is the citing authors’ own speculation. (LLM, conf=0.78)
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Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
The Triumvirate: β-Cell, Muscle, Liver: A Collusion Responsible for NIDDM
DeFronzo, R. A. (1988) · Diabetes · doi:10.2337/diab.37.6.667 · Cited by 2,456 · see citing works
Self-citationAbdul-Ghani, M. A., Tripathy, D., & DeFronzo, R. A. (2006) · Diabetes Care · doi:10.2337/dc05-2179 · Cited by 744 · see citing works
Self-citationGabir, M. M., Hanson, R. L., Dabelea, D., Imperatore, G., Roumain, J., Bennett, P. H., & Knowler, W. C. (2000) · Diabetes Care · doi:10.2337/diacare.23.8.1113 · Cited by 211 · see citing works
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Research works printed but not linked: 18
- Unwin N, Shaw J, Zimmet P, Alberti KGMM. Impaired glucose tolerance and impaired fasting glycemia: the current status on definition and intervention. Diabet Med 2002; 19: 708-723.
- The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabet Care 1997; 20: 1183-1197.
- Shaw J, Zimmet P, de Courten M, et al. Impaired fasting glucose or impaired glucose tolerance: what best predicts future diabetes in Mauritius? Diabet Care 1999; 22: 399-402.
- de Vegt F, Dekker JM, Stehouwer CD, Nijpels G, Bouter LM, Heine RJ. The 1997 American Diabetes Association criteria versus the 1985 World Health Organization criteria for the diagnosis of abnormal glucose tolerance: poor agreement in the Hoorn Study. Diabet Care 1998; 21: 1686-1690.
- Abdul-Ghani MA, Jenkinson CP, Richardson DK, Tripathy D, DeFronzo RA. Insulin secretion and action in subjects with impaired fasting glucose and impaired glucose tolerance: results from the Veterans Administration Genetic Epidemiology Study. Diabetes 2006; 55: 1430-1435.
- Abdul-Ghani MA, Jenkinson C, Richardson D, DeFronzo RD. Impaired early but not late phase insulin secretion in subjects with impaired fasting glucose. Eur J Clin Invest 2008; (in press).
- Zhou W, Gu Y, Li H, Luo M. Assessing 1-h plasma glucose and shape of the glucose curve during oral glucose tolerance test. Eur J Endocrinol 2006; 155: 191-197.
- Kanauchi M, Kimura K, Kanauchi K, Saito Y. 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 2005; 59: 427-432.
- 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. Diabet Care 2003; 26: 1026-1033.
- Abdul-Ghani MA, Williams K, DeFronzo R, Stern M. Risk of progression to type 2 diabetes based on relationship between postload plasma glucose and fasting plasma glucose. Diabet Care 2006; 29: 1613-1618.
- Groop L, Forsblom C, Lehtovirta M, et al. Metabolic conse- quences of a family history of NIDDM (the Botnia study): evidence for sex-specific parental effects. Diabetes 1996; 45: 1585-1593.
- Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic glucose clamp. Diabet Care 1999; 22: 1462-1470.
- Nathan DM, Davidson MB, DeFronzo RA, et al. American Diabetes Association. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabet Care 2007; 30: 753-759.
- Copyright 2010 John Wiley & Sons, Ltd. Diabetes Metab Res Rev 2010; 26: 280-286. DOI: 10.1002/dmrr 15207560, 2010, 4, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/dmrr.1084, Wiley Online Library on [14/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License · DOI
- Abdul-Ghani MA, Matsuda M, Balas B, DeFronzo RA. Muscle and liver insulin resistance indexes derived from the oral glucose tolerance test. Diabet Care 2007; 30: 89-94.
- Hanley AJ, Williams K, Gonzalez C, et al. Prediction of type 2 diabetes using simple measures of insulin resistance: combined results from the San Antonio Heart Study, the Mexico City Diabetes Study, and the Insulin Resistance Atherosclerosis Study. Diabetes 2003; 52: 463-469.
- Weyer C, Bogardus C, Mott DM, Pratley RE. The natural history of insulin secretory dysfunction and insulin resistance in the pathogenesis of type 2 diabetes mellitus. J Clin Invest 1999; 104: 787-794.
- Abdul-Ghani MA, Williams K, DeFronzo RA, Stern M. What is the best predictor of future type 2 diabetes? Diabet Care 2007; 30: 1544-1548.
Cited by
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Hulman, A., Witte, D. R., Vistisen, D., Balkau, B., Dekker, J. M., Herder, C., Hatunic, M., Konrad, T., Færch, K., & Manco, M. (2018) · Diabetes Care · doi:10.2337/dc18-0279 · Cited by 66 · see citing works
Hulman, A., Vistisen, D., Glümer, C., Bergman, M., Witte, D. R., & Færch, K. (2018) · Diabetologia · doi:10.1007/s00125-017-4468-z · Cited by 60 · see citing works
Armato, J., DeFronzo, R. A., Abdul-Ghani, M., & Ruby, R. (2012) · Endocrine Practice · doi:10.4158/ep11194.or · Cited by 35 · see citing works
Self-citationAdelmeyer, J., Schauer, C. M., & Kann, P. H. (2024) · Hormones · doi:10.1007/s42000-024-00542-1 · Cited by 3 · see citing works
“This is not consistent with the data of Abdul-Ghani et al. who observed the development of dia - betes mellitus in approximately 12% of patients with IGT over a period of 7–8 years [ 49 ].”
- Authors
- Abdul‐Ghani, M. A., Lyssenko, V., Tuomi, T., DeFronzo, R. A., & Groop, L.
- Affiliations
- Lund University (SE)
- The University of Texas at San Antonio Health Science Center (US)
- Venue
- Diabetes/Metabolism Research and Reviews
- Publisher
- Wiley
- Published
- 2010-05
- Volume
- 26
- Issue
- 4
- Pages
- 280-286
- ISSN
- 1520-7552 (ISSN-L)
- 1520-7560
- OpenAlex
- W2101702701
- Cited by
- 139
- References
- 4
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 10 · 2023: 6 · 2022: 11 · 2021: 11 · 2020: 16 · 2019: 8 · 2018: 15 · 2017: 12 · 2016: 6 · 2015: 5 · 2014: 10 · 2013: 3 · 2012: 5
- FWCI
- 3.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes/Metabolism Research and Reviews (publishedVersion)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Folkhälsanin Tutkimussäätiö
- Vetenskapsrådet
- Samfundet Folkhälsan
- Diabetestutkimussäätiö
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes risk, oral glucose tolerance test, insulin sensitivity, beta-cell function, impaired fasting glucose, impaired glucose tolerance, non-diabetic patients
- MeSH terms
- Age Factors, Blood Glucose, Blood Pressure, Body Weight, Cholesterol, Diabetes Mellitus, Type 2, Female, Glucose Tolerance Test, Humans, Insulin, Cholesterol, HDL, Male, Triglycerides, Body Mass Index, Risk Assessment
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