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ORIGINAL ARTICLE

Long-term repeatability of measures of early insulin secretion derived from an intravenous glucose tolerance test and conversion from impaired glucose tolerance to diabetes

, , , , , , , & , PhD , MD show all
Pages 303-311 | Received 24 Aug 2007, Published online: 08 Jul 2009

Abstract

Aim. We assessed the long-term repeatability of the acute insulin response (AIR) and sensitivity index (SI) derived from the frequently sampled intravenous glucose tolerance test (FSIGT).

Methods. An FSIGT was performed in 20 women who participated in a 6.5-month rye- and wheat-bread intervention trial, 70 men and women with impaired fasting glycaemia (IFG) or impaired glucose tolerance (IGT) who participated in the Genobin study, and 81 men and women with IGT who participated in the Finnish Diabetes Prevention Study (DPS).

Results. The correlation of AIR and SI at base-line with respective values after the 6.5–8.5-month trials was 0.86–0.88 and 0.71–0.84, and before and after 4 years in the DPS substudy, 0.86 and 0.53. In multivariate analyses, AIR (relative risk for a 1-SD change, 0.67; 95% confidence intervals 0.46–0.97) predicted the conversion from IGT to diabetes in the DPS substudy.

Conclusion. AIR is highly repeatable even after 4 years of follow-up. The long-term repeatability of SI is moderate. Our findings emphasize the importance of impaired early insulin secretion in the transition from IGT to diabetes, and the high degree of tracking of measures of early insulin secretion derived from the FSIGT.

Introduction

β-Cell dysfunction is a prerequisite for the development of impaired fasting glycaemia (IFG), impaired glucose tolerance (IGT), and type 2 diabetes, and is a primary determinant of which individuals with insulin resistance develop IFG, IGT, or eventually diabetes Citation1–10. Indeed, persons who progress from normal fasting and post-load glucose homeostasis to IFG or IGT and type 2 diabetes are characterized by a lower first-phase or acute insulin response (AIR) and further decline in the AIR with time. In contrast, non-progressors generally show little decline in β-cell function Citation4, Citation6–8, Citation10. Assessment of insulin secretion is therefore crucial to identify those at risk for further decline in glucose tolerance and development of diabetes, especially in high-risk individuals.

The minimal model analysis of the frequently sampled intravenous glucose tolerance test (FSIGT) is, along with the hyperglycaemic clamp, generally considered to be one of the gold standards for the assessment of insulin secretion in non-diabetic subjects Citation11, Citation12. Both impaired first-phase insulin secretion and insulin resistance as measured by the FSIGT have predicted development of diabetes Citation1, Citation4, Citation6, Citation7. Despite the importance of impaired insulin secretion as a determinant of worsening glucose tolerance and diabetes, little has been reported on the long-term repeatability of the AIR as measured during the FSIGT.

Key messages

  • The acute insulin response measured during an intravenous glucose tolerance test is highly repeatable in individuals with normal or impaired glucose tolerance who do not develop diabetes, even after 4 years.

  • Impaired first-phase insulin secretion plays a central role in the conversion from impaired glucose tolerance to type 2 diabetes.

Abbreviations

We assessed the medium-term (2.5–8.5 months) and long-term (4 years) repeatability of the AIR measured during a FSIGT in relatively low-risk post-menopausal women participating in a rye- and wheat-bread intervention study Citation13, in men and women with the metabolic syndrome and IFG or IGT participating in the Genobin study, and in a subgroup of the Finnish Diabetes Prevention Study (DPS) Citation7. To provide further insight on the importance of early insulin secretion and insulin sensitivity in the pathophysiology of type 2 diabetes, we also compared measures of first-phase insulin secretion and insulin sensitivity derived from the FSIGT in the prediction of diabetes and worsening glucose tolerance in the subsample of the Finnish DPS.

Methods

Participants

The subjects were 20 post-menopausal women who participated in a rye- and wheat-bread intervention study Citation13, 70 men and women with the metabolic syndrome and IFG or IGT who participated in the Genobin study Citation14, and 81 men and women with IGT who participated in the DPS at the Kuopio centre Citation7, Citation15, Citation16 (). An FSIGT was carried out at base-line and during the follow-up in all three studies to assess changes in insulin sensitivity and secretion. Subjects provided written informed consent. The Ethics Committee of the University of Kuopio and Kuopio University Hospital approved the studies.

Table I.  Characteristics at base-line. Values are presented as means (SD), proportions, or medians (interquartile ranges).

For the post-menopausal women participating in the rye- and wheat-bread intervention study, the primary inclusion criteria were serum total cholesterol 5.0–8.5 mmol/L, non-high-density lipoprotein cholesterol 3.5–6.5 mmol/L, triacylglycerols < 2.5 mmol/L, and body mass index (BMI; body-weight in kg/height in m2) of 20–33 Citation13. Only three women had IGT. A randomized cross-over study design with two 8-week bread periods was used.

For the Genobin study, 70 overweight or obese (BMI 28–40) men and women with IFG or IGT and two features of the metabolic syndrome (National Cholesterol Education Program (NCEP) criteria Citation17) participated. Fourteen subjects had early previously undiagnosed type 2 diabetes. Subjects were randomized to one of four groups: weight loss (n = 25), aerobic training (n = 15), resistance training (n = 14), or control (n = 18).

In the Finnish DPS, 522 subjects with IGT were randomized to an intervention or a control group in five centres as described elsewhere Citation15, Citation16. The main inclusion criteria were: BMI >25, age 40–64 years, and IGT according to the World Health Organization 1985 criteria Citation18. An oral glucose tolerance test (OGTT) was done at base-line and annually as described earlier in detail Citation15, Citation16. In the Kuopio centre, 81 men and women underwent a FSIGT at base-line.

Intervention measures

In the rye-bread intervention, the high-fibre rye- and white wheat-breads were intended to cover at least 20% of the daily intake of energy Citation13. Body-weight and insulin sensitivity as measured during the FSIGT did not change during the trial, but AIR improved during the rye-bread intervention Citation13.

In the Genobin study, the weight loss group underwent a 33-week weight loss and weight maintenance programme. The average weight loss was 4.6 kg. Insulin sensitivity as measured during the FSIGT tended to improve (P = 0.080). The aerobic training group increased training to ≥4 times/week for ≥30 min/session at 55%–65% of the maximum heart rate. The resistance training group increased training to 3–4 sessions/week at 70% one-repetition maximum, 1–2 sets×10–12 repetitions for upper and lower body muscle groups. Body composition, insulin sensitivity, and insulin secretion did not change during the trial in the exercise groups.

In the DPS, the intervention group received detailed advice about how to achieve the goals of the intervention, which were a reduction in weight of ≥5%, in the total intake of fat <30% of energy, and the intake of saturated fat <10% of energy consumed; an increase in fibre intake to ≥15 g/1,000 kcal; and moderate exercise for ≥30 min/day Citation15, Citation16. The control group received general advice. The intervention group lost about 3 kg in body-weight, with an improvement in insulin sensitivity during the FSIGT Citation7, Citation16.

Determination of IFG, IGT, and diabetes mellitus

For the 2-h OGTT, samples for glucose and insulin were taken before (fasting) and 2 h after a glucose load (75 g). For the rye-bread study and Genobin, IFG was defined as fasting plasma glucose 5.6–6.9 mmol/L, IGT as fasting plasma glucose <7.0 mmol/L and 2-hour plasma glucose 7.8–11.0 mmol/L, and type 2 diabetes as fasting glucose ≥7.0 mmol/L or 2-h glucose >11.0 mmol/L Citation19. In the DPS, IGT was defined according to the 1985 criteria of the World Health Organization Citation18 as fasting plasma glucose <7.8 mmol/L and 2-hour plasma glucose 7.8–11.0 mmol/L, and diabetes as fasting plasma glucose ≥7.8 mmol/L or 2-hour plasma glucose ≥11.1 mmol/L.

Frequently sampled intravenous glucose tolerance test

The FSIGTs were performed during the run-in period and at the end of rye- and wheat-bread periods, meaning that for each participant an FSIGT was carried out at base-line, at 2.5 months, and at 6.5 months Citation13. In the Genobin study FSIGTs were performed before and after the 33-week life-style intervention. In the DPS substudy, the FSIGT was carried out at base-line in 81 subjects and 4 years later in 52 subjects who remained non-diabetic during the 4-year follow-up Citation7.

The minimal model FSIGT was performed as described by Bergman Citation12 and in our earlier publication Citation7. An intravenous catheter was inserted into the antecubital veins of both arms. Glucose (330 mg/kg of body-weight) was given intravenously as a 50% solution in 1.5 min followed by 10 mL of 0.9% NaCl solution. Thereafter, a 0.9% NaCl solution was slowly infused. A bolus of 0.03 units/kg of insulin was injected 20 min after the glucose dose. The NaCl infusion was continued for 1.5 min after the insulin dose. Venous blood samples were collected for glucose and insulin determinations before the glucose dose and 23 times after the glucose dose (at 2, 4, 6, 8, 10, 12, 14, 16, 19, 22, 24, 27, 30, 40, 50, 60, 70, 90, 100, 120, 140, 160, and 180 min) via a catheter in the contralateral arm. To arterialize the venous blood, the arm was kept in a 50°C electric pad.

Plasma glucose was analysed by an enzymatic photometric assay (rye study: Granutest 100, Merck, Damstadt, Germany; Genobin: Thermo Clinical Labsystems, Vantaa, Finland; DPS substudy: Glucose Auto & Stat, Model GA-110, Daiichi, Kyoto, Japan) using a Kone Specific Clinical Analyser (Kone Ltd, Espoo, Finland) and serum insulin by radioimmunoassay (Phadaseph Insulin RIA 100, Pharmacia Diagnostica, Uppsala, Sweden) and, in the Genobin study, by a chemiluminescence sandwich method (ACS, Bayer A/S, USA).

The insulin sensitivity index (SI) was calculated with the Minmod program Citation12. The AIR was calculated as the area under the insulin curve from 0 to 10 minutes. The relationship between insulin sensitivity and secretion has been described as hyperbolic (an inverse linear relationship when the log of insulin sensitivity and insulin secretion are plotted) Citation10, Citation20, Citation21. To take this into account, the disposition index (DI) was calculated as the product of AIR and SI Citation22, Citation23. As an alternative method, we adjusted AIR by SI, using regression analysis to adjust the log of AIR by the log of SI and then transformed the SI-adjusted AIR back into untransformed values by taking the antilog Citation24. The QUICKI insulin sensitivity index was calculated as (log(insulin concentration)) + log(glucose concentration))−1 Citation25.

Statistical analysis

Data are displayed as means (SD) or as medians (interquartile ranges). Partial correlation analysis was used to assess the association of measures of insulin and glucose metabolism with corresponding measurements during the follow-up. The interventions themselves affect indices of glucose and insulin metabolism, for which reason partial correlation analysis (with adjustment for the intervention) was used instead of intracorrelation coefficient (ICC) analysis. To test for possible interactions with the interventions, we carried out univariate general linear models with the respective follow-up measure of insulin and glucose metabolism as the outcome variable, and an interaction term for the respective base-line measure and the intervention was also tested. No significant interaction of the interventions with the base-line measures of insulin and glucose metabolism was found. Cox proportional hazards regression analysis was used to assess the risk of incident diabetes associated with measures of the FSIGT. Univariate general linear models were used to assess the association of measures of the FSIGT with changes in the fasting and 2-h plasma glucose during the 4-year follow-up. P < 0.05 was considered statistically significant. SPSS for Windows v. 11 (Chicago, Illinois) was used.

Results

Base-line

All participants in the DPS substudy had IGT (1985 criteria), whereas only 3 of the 20 women in the rye-bread intervention had IGT (). This difference was also reflected in the BMI and measures of insulin sensitivity and secretion. All participants of the Genobin study had IFG or IGT and the metabolic syndrome as defined by the NCEP, and more closely resembled the DPS participants with respect to BMI and measures of insulin and glucose metabolism. All participants in the rye-bread intervention were women, whereas 50 of 81 participants in the DPS substudy and 34 of 70 in the Genobin study were women.

Measures of insulin and glucose metabolism at base-line and follow-up and their partial correlations

In the combined groups of the rye- and wheat-bread study, the measures of insulin and glucose metabolism did not change during the follow-up (). The group-adjusted partial correlation of base-line AIR with that measured 2.5 and 6.5 months later was 0.85–0.86 (). The corresponding partial correlation for SI-adjusted AIR was also high. Those of SI and DI were lower (partial r = 0.66–0.71) and similar to those of fasting insulin and the QUICKI index.

Table II.  Measures of insulin and glucose metabolism in the rye-wheat intervention (n=20), Genobin study (n=70) and Finnish Diabetes Prevention Study (n=52).

In the combined groups of the Genobin study, only the DI changed significantly during follow-up (). The group-adjusted partial correlation of base-line AIR, SI-adjusted AIR, SI, and DI with that measured 33 weeks later was 0.82–0.88. Those for fasting and post-load glucose concentrations were modest (partial r = 0.36–0.49).

In the combined groups of the DPS substudy, SI increased and fasting insulin decreased during the 4-year follow-up (). The difference between groups for the changes during follow-up in the variables in were not significant Citation7. The age- and intervention group-adjusted partial correlation of AIR and SI-adjusted AIR with that measured 4 years later was 0.86–0.89 (). The corresponding partial correlations for SI and DI were more modest (partial r = 0.53–0.72). The base-line 2-h glucose measurement was not associated with the follow-up measurement 4 years later. In subgroup partial correlation analyses, the repeatability of the measures of insulin and glucose metabolism described above was similar in the control and intervention groups (not shown).

Table III.  Relative risk (95% confidence intervals) of developing type 2 diabetes according to a 1-SD change in indices derived from the frequently sampled intravenous glucose tolerance test at base-line in 81 participants of the Finnish Diabetes Prevention Study.

Intracorrelation coefficient

In analyses of the repeatability of measures derived from the FSIGT in the control group of the DPS (n = 21), the ICC was similar to the partial correlation coefficients shown in (e.g., for AIR, ICC = 0.87; for SI, ICC = 0.50).

FSIGT and prediction of diabetes

In the DPS substudy, 19 of 81 men and women developed diabetes. SI did not predict diabetes, except for a border-line association in model 4 (). In this model, SI predisposed to diabetes but probably because of multicollinearity of the variables. AIR, SI- adjusted AIR, and especially DI were inversely associated with incident diabetes, even after multivariate adjustment.

FSIGT and the change in fasting and 2-h plasma glucose levels

After adjustment for age, sex, randomization group, SI, and base-line 2-h glucose concentrations, AIR, SI- adjusted AIR and DI were inversely associated (β = − 0.29 to −0.31, P = 0.014–0.050) with the changes in fasting plasma glucose levels during the 4-year follow-up. Further adjustment for BMI slightly increased the association (β = − 0.36 to −0.38, P = 0.015–0.020). AIR, SI-adjusted AIR, and DI were not associated with changes in 2-h glucose concentrations. SI was not associated with changes in either fasting or 2-h glucose concentrations.

Discussion

AIR and SI-adjusted AIR derived from the FSIGT are highly repeatable measures of early-phase insulin secretion even after up to 4 years of follow-up. The long-term repeatability of SI, however, was less, comparable with that of fasting insulin levels or QUICKI. As a consequence, the DI, the product of SI and AIR, was less repeatable than AIR and SI-adjusted AIR. The DI nonetheless predicted incident type 2 diabetes during the 4-year follow-up in the DPS substudy better than the other indices of early insulin secretion, and better than SI.

The relationship between early insulin secretion and insulin sensitivity has been described as rectangular hyperbolic, in which changes in insulin sensitivity are compensated for by changes in insulin secretion in the opposite direction Citation10, Citation20, Citation21. Because of this physiological relationship, insulin sensitivity must be taken into account when assessing first-phase insulin secretion. This has been most commonly done by calculating the DI Citation22, Citation23, which for the FSIGT is the product of AIR and SI. The DI is not only a measure of insulin secretion, however, but also of insulin sensitivity, because SI is a term in the equation. The hyperbolic relationship can be transformed mathematically into a linear inverse association by taking the log of AIR and the log of SI. Insulin sensitivity can then be taken into account by adjustment of log(AIR) by log(SI) using linear regression Citation24. The advantage of this method is that one obtains a measure of acute insulin secretion that is truly independent of SI.

The repeatability of SI-adjusted AIR was almost as high AIR without adjustment. The high repeatability of the AIR over a 1-week period (r=0.92) has been demonstrated Citation26. Our findings show that the high repeatability extends to the medium (2.5–8.5 months) and long (4 years) term. Even in IGT, early insulin secretion thus has a high degree of tracking over at least 4 years, at least in those who do not develop type 2 diabetes.

The high degree of tracking of AIR may partly be because early-phase insulin secretion is under tight physiological and genetic regulation Citation20, Citation21, Citation27–29. Postprandial glycaemic responses to a variety of mixed meals are maintained within a narrow range in glucose-tolerant individuals. First-phase insulin secretion is also normally physiologically up-regulated in response to obesity and increasing insulin resistance Citation20, Citation21. In prone individuals, however, β-cell failure occurs, and IGT or diabetes develops. The capacity for insulin secretion to compensate for increasing obesity and insulin resistance has a strong genetic component Citation28–30. Based on twin studies, about 55% of AIR and, based on more complicated modelling, possibly up to 76% of AIR is genetically determined Citation28, Citation29.

AIR derived from the FSIGT is, along with acute insulin secretion measured during the hyperglycaemic clamp, generally considered to be one of the gold standards for the assessment of insulin secretion Citation11, Citation12. These intravenous methods by-pass the gastro-intestinal component of insulin secretion, however. Incretins play a key role in mediating insulin secretion, accounting for up to two-thirds of the insulin secretion in response to a glucose load during the OGTT Citation31. Incretins may also be important in the pathogenesis of deteriorating glucose tolerance and type 2 diabetes Citation31. Therefore, the insulinogenic index or other measures derived from the OGTT or from mixed meal feeding studies may be more physiological if less precise in the measurement of early insulin secretion. Both FSIGT and OGTT measures of early insulin secretion have predicted incident type 2 diabetes in prospective studies Citation1–10.

The repeatability of the DI was lower in the rye-wheat intervention and DPS substudy. The much lower repeatability of DI was because of the lower repeatability of SI implicit in its calculation. The low repeatability of SI in the rye-wheat study may have been because of the rye-wheat intervention or the small size of the study. The low repeatability of SI is not due to the intervention in the DPS, however, because the repeatability of SI was similarly low in the control group. The low 4-year repeatability of SI may therefore be a reflection of actual variability in peripheral insulin resistance over time.

Measures of impaired early insulin secretion derived from the FSIGT strongly predicted conversion from IGT to type 2 diabetes and adverse changes in fasting glucose concentrations during the 4-year follow-up in the DPS substudy. In contrast, insulin sensitivity as measured by SI did not predict diabetes or changes in glucose concentrations. In those who did not develop diabetes, however, insulin sensitivity improved by 34% during the 4-year follow-up (and tended to improve more in the intervention group Citation7), whereas measures of insulin secretion did not significantly change.

Insulin sensitivity as measured by SI seemed to actually increase the risk of diabetes in the multivariate model including BMI, but this is likely due to multicollinearity. The reason why SI was not a determinant of diabetes in the DPS subsample may be because of the small sample size and because the DPS was limited to overweight individuals with IGT. In the much larger US Diabetes Prevention Program study (DPP), insulin resistance and early insulin secretion as estimated crudely based on fasting and OGTT-derived insulin and glucose concentrations also predicted development of diabetes during the trial Citation9. In large cohort studies, both insulin sensitivity and insulin secretion as measured by the FSIGT have predicted incident diabetes Citation8, Citation10. Our findings nonetheless underscore the importance of impaired insulin secretion in the progression from IGT to type 2 diabetes Citation7.

None of the FSIGT indices predicted adverse changes in 2-h glucose concentrations in the DPS. The 2-h glucose values at base-line and the 4-year follow-up were not correlated at all. Two-hour glucose concentrations during an OGTT have a low repeatability Citation32, Citation33. Moreover, the range of values was restricted to IGT, and the follow-up was long.

Prevention of type 2 diabetes by life-style changes in individuals with IGT probably occurs mainly through improvement of insulin sensitivity rather than through direct effects on insulin secretion Citation7, Citation34, Citation35. Nonetheless, certain dietary changes Citation13, Citation24, Citation36, Citation37, increased physical activity Citation38, and weight loss Citation39 may also directly improve early-phase insulin secretion. Recent findings from the DPP with measures of insulin sensitivity and secretion based on fasting and post-load insulin and glucose values also suggest that life-style changes can enhance β-cell function independently of improvements in insulin resistance Citation9.

A limitation of this study is that all of the women in the rye-wheat study, most of the men and women in the Genobin study, and about half of the participants in the DPS substudy underwent life-style interventions that could alter insulin secretion or insulin sensitivity. Nonetheless, the results were similar in the control arm of the DPS. Moreover, in all of these studies, spanning in duration from 2.5 months up to 4 years, of subjects ranging from mainly normoglycaemic to IGT, AIR was highly repeatable, again underscoring that AIR is to a large degree determined by non-environmental factors.

AIR and SI-adjusted AIR derived from the FSIGT are highly repeatable measures of early-phase insulin secretion even after up to 4 years of follow-up. The repeatability of SI was at best modest. DI was less repeatable than AIR and SI-adjusted AIR, but was a stronger predictor of incident type 2 diabetes. Caution should be taken when considering DI as an index of early insulin secretion, however, because SI is implicit in its calculation. Our findings, based on three independent study groups, emphasize the high degree of tracking of measures of early insulin secretion derived from the FSIGT in men and women with IGT.

Acknowledgements

This work was supported by grants from the Academy of Finland (40758 to M.U., 46558 to J.T., 209445 M.K. and 104943 to R.R.), the EVO-fund of the Kuopio University Hospital (no. 5106 to M.U.), the Finnish Diabetes Foundation, the Ministry of Education of Finland, the Diabetes Research foundation, and the Technology Development Center of Finland. Fazer Bakeries Ltd and Vaasan & Vaasan Oy provided breads for the rye-wheat intervention. We also thank the staff of the Department of Clinical Nutrition, University of Kuopio, for their skill in carrying out the intravenous glucose tolerance tests and other work in this study. None of the authors have competing interests related to this study.

References

  • Lillioja S, Mott DM, Spraul M, Ferraro R, Foley JE, Ravussin E, et al. Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus. Prospective studies of Pima Indians. N Engl J Med. 1993; 329: 1988–92
  • Haffner SM, Miettinen H, Gaskill SP, Stern MP. Decreased insulin secretion and increased insulin resistance are independently related to the 7-year risk of NIDDM in Mexican-Americans. Diabetes. 1995; 44: 1386–91
  • Haffner SM, Miettinen H, Gaskill SP, Stern MP. Decreased insulin action and insulin secretion predict the development of impaired glucose tolerance. Diabetologia. 1996; 39: 1201–7
  • 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: 787–94
  • Kahn SE. The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of Type 2 diabetes. Diabetologia. 2003; 46: 3–19
  • Osei K, Rhinesmith S, Gaillard T, Schuster D. Impaired insulin sensitivity, insulin secretion, and glucose effectiveness predict future development of impaired glucose tolerance and type 2 diabetes in pre-diabetic African Americans: implications for primary diabetes prevention. Diabetes Care. 2004; 27: 1439–46
  • Uusitupa M, Lindi V, Louheranta A, Salopuro T, Lindström J, Tuomilehto J. Long-term improvement in insulin sensitivity by changing lifestyles of persons with impaired glucose tolerance. Diabetes. 2003; 52: 2532–8
  • Lyssenko V, Almgren P, Anevski D, Perfekt R, Lahti K, Nissen M, et al. Predictors of and longitudinal changes in insulin sensitivity and secretion preceding onset of type 2 diabetes. Diabetes. 2005; 54: 166–74
  • Kitabchi AE, Temprosa M, Knowler WC, Kahn SE, Fowler SE, Haffner SM, et al. Role of insulin secretion and sensitivity in the evolution of type 2 diabetes in the diabetes prevention program: effects of lifestyle intervention and metformin. Diabetes. 2005; 54: 2404–14
  • Festa A, Williams K, D'Agostino R, Jr, Wagenknecht LE, Haffner SM. The Natural Course of Beta-Cell Function in Nondiabetic and Diabetic Individuals: The Insulin Resistance Atherosclerosis Study. Diabetes. 2006; 55: 1114–20
  • DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979; 237: E214–23
  • Bergman RN. Lilly lecture 1989. Toward physiological understanding of glucose tolerance. Minimal-model approach. Diabetes. 1989;38:1512–27.
  • Juntunen KS, Laaksonen DE, Poutanen KS, Niskanen LK, Mykkänen HM. High-fiber rye bread and insulin secretion and sensitivity in healthy postmenopausal women. Am J Clin Nutr. 2003; 77: 385–91
  • Kolehmainen M, Salopuro T, Schwab US, Kekalainen J, Kallio P, Laaksonen DE, , et al. Weight reduction modulates expression of genes involved in extracellular matrix and cell death: the GENOBIN study. Int J Obes (Lond). 2007 Sep 11 [Epub ahead of print].
  • Eriksson J, Lindstrom J, Valle T, Aunola S, Hamalainen H, Ilanne-Parikka P, et al. Prevention of Type II diabetes in subjects with impaired glucose tolerance: the Diabetes Prevention Study (DPS) in Finland. Study design and 1-year interim report on the feasibility of the lifestyle intervention programme. Diabetologia. 1999; 42: 793–801
  • Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001; 344: 1343–50
  • Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001;285:2486–97.
  • Diabetes mellitus: report of a WHO study group. World Health Organ Tech Rep Ser. 1985;727:1–113.
  • Sacks DB, Bruns DE, Goldstein DE, Maclaren NK, McDonald JM, Parrott M. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care. 2002; 25: 750–86
  • Bergman RN, Ader M, Huecking K, Van Citters G. Accurate assessment of beta-cell function: the hyperbolic correction. Diabetes 2002; 51 Suppl 1: S212–20
  • Del Prato S. Loss of early insulin secretion leads to postprandial hyperglycaemia. Diabetologia. 2003; 46 Suppl 1: M2–8
  • Bergman RN, Phillips LS, Cobelli C. Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J Clin Invest. 1981; 68: 1456–67
  • Kahn SE, Prigeon RL, McCulloch DK, Boyko EJ, Bergman RN, Schwartz MW, et al. Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes. 1993; 42: 1663–72
  • Laaksonen DE, Toppinen LK, Juntunen KS, Autio K, Liukkonen KH, Niskanen LK, et al. Dietary carbohydrate modification enhances insulin secretion in individuals with the metabolic syndrome. Am J Clin Nutr. 2005; 82: 1218–27
  • Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000; 85: 2402–10
  • Tripathy D, Wessman Y, Gullstrom M, Tuomi T, Groop L. Importance of Obtaining Independent Measures of Insulin Secretion and Insulin Sensitivity During the Same Test: Results with the Botnia clamp. Diabetes Care. 2003; 26: 1395–401
  • Watanabe RM, Valle T, Hauser ER, Ghosh S, Eriksson J, Kohtamaki K, et al. Familiality of quantitative metabolic traits in Finnish families with non-insulin-dependent diabetes mellitus. Finland-United States Investigation of NIDDM Genetics (FUSION) Study investigators. Hum Hered. 1999; 49: 159–68
  • Lehtovirta M, Kaprio J, Forsblom C, Eriksson J, Tuomilehto J, Groop L. Insulin sensitivity and insulin secretion in monozygotic and dizygotic twins. Diabetologia. 2000; 43: 285–93
  • Lehtovirta M, Kaprio J, Groop L, Trombetta M, Bonadonna RC. Heritability of model-derived parameters of beta cell secretion during intravenous and oral glucose tolerance tests: a study of twins. Diabetologia. 2005; 48: 1604–13
  • Siitonen N, Lindstrom J, Eriksson J, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Association between a deletion/insertion polymorphism in the alpha2B-adrenergic receptor gene and insulin secretion and Type 2 diabetes. The Finnish Diabetes Prevention Study. Diabetologia. 2004; 47: 1416–24
  • Holst JJ, Gromada J. Role of incretin hormones in the regulation of insulin secretion in diabetic and nondiabetic humans. Am J Physiol Endocrinol Metab. 2004; 287: E199–206
  • Feskens EJM, Bowles CH, Kromhout D. Intra- and interindividual variability of glucose tolerance in an elderly population. J Clin Epidemiol. 1991; 44: 947–53
  • Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. American Diabetes Association: clinical practice recommendations 2002. Diabetes Care. 2002;25 Suppl 1:S1–147.
  • Chiasson JL, Rabasa-Lhoret R. Prevention of type 2 diabetes: insulin resistance and beta-cell function. Diabetes. 53 2004; Suppl 3: S34–8
  • Laaksonen DE, Niskanen L, Lakka H-M, Lakka TA, Uusitupa M. Epidemiology and treatment of the metabolic syndrome. Ann Med. 2004; 36: 332–46
  • McGarry JD. Banting Lecture 2001: Dysregulation of Fatty Acid Metabolism in the Etiology of Type 2 Diabetes. Diabetes 2002; 51: 7–18
  • Wolever TM, Mehling C. High-carbohydrate-low-glycaemic index dietary advice improves glucose disposition index in subjects with impaired glucose tolerance. Br J Nutr. 2002; 87: 477–87
  • Dela F, von Linstow ME, Mikines KJ, Galbo H. Physical training may enhance beta-cell function in type 2 diabetes. Am J Physiol Endocrinol Metab. 2004; 287: E1024–31
  • Utzschneider KM, Carr DB, Barsness SM, Kahn SE, Schwartz RS. Diet-induced weight loss is associated with an improvement in beta-cell function in older men. J Clin Endocrinol Metab. 2004; 89: 2704–10

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