Incretin responses to oral glucose and mixed meal tests and changes in fasting glucose levels during 7 years of follow-up: The Hoorn Meal Study.

We conducted the first prospective observational study in which we examined the association between incretin responses to an oral glucose tolerance test (OGTT) and mixed meal test (MMT) at baseline and changes in fasting glucose levels 7 years later, in individuals who were non-diabetic at baseline. We used data from the Hoorn Meal Study; a population-based cohort study among 121 subjects, aged 61.0±6.7y. GIP and GLP-1 responses were determined at baseline and expressed as total and incremental area under the curve (tAUC and iAUC). The association between incretin response at baseline and changes in fasting glucose levels was assessed using linear regression. The average change in glucose over 7 years was 0.43 ± 0.5 mmol/l. For GIP, no significant associations were observed with changes in fasting glucose levels. In contrast, participants within the middle and highest tertile of GLP-1 iAUC responses to OGTT had significantly smaller increases (actually decreases) in fasting glucose levels; -0.28 (95% confidence interval: -0.54;-0.01) mmol/l and -0.39 (-0.67;-0.10) mmol/l, respectively, compared to those in the lowest tertile. The same trend was observed for tAUC GLP-1 following OGTT (highest tertile: -0.32 (0.61;-0.04) mmol/l as compared to the lowest tertile). No significant associations were observed for GLP-1 responses following MMT. In conclusion, within our non-diabetic population-based cohort, a low GLP-1 response to OGTT was associated with a steeper increase in fasting glucose levels during 7 years of follow-up. This suggests that a reduced GLP-1 response precedes glucose deterioration and may play a role in the etiology of type 2 diabetes mellitus.

Fatty acid intake and its dietary sources in relation with markers of type 2 diabetes risk: The NEO study.

OBJECTIVE: The aim of this study was to examine the relations between intakes of total, saturated, mono-unsaturated, poly-unsaturated and trans fatty acids (SFA, MUFA, PUFA and TFA), and their dietary sources (dairy, meat and plant) with markers of type 2 diabetes risk. SUBJECTS/METHODS: This was a cross-sectional analysis of baseline data of 5675 non-diabetic, middle-aged participants of the Netherlands Epidemiology of Obesity (NEO) study. Associations between habitual dietary intake and fasting and postprandial blood glucose and insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), HOMA of ß-cell function (HOMA-B) and Disposition Index were assessed through multivariable linear regression models with adjustments for demographic, lifestyle and dietary factors. RESULTS: Mean (s.d.) intakes in percent of energy (En%) were 34.4 (5.8) for total fatty acids, 12.4 (2.9) for SFA, 12.2 (2.4) for MUFA, 6.9 (1.9) for PUFA and 0.6 (0.2) for TFA. As compared with carbohydrates, only SFA was weakly inversely associated with fasting insulin, HOMA-IR and HOMA-B. When stratified by dietary source, all fatty acids from meat were positively associated with fasting insulin - total fatty acidsmeat (per 5 En%: 10.0%; 95% confidence interval: 4.0, 16.3), SFAmeat (per 1 En%: 3.7%; 0.4, 7.2), MUFAmeat (per 1 En%: 5.0%; 2.0, 8.1), PUFAmeat (per 1 En%: 17.3%; 6.0, 29.7) and TFAmeat (per 0.1 En%: 10.5%; 3.2, 18.3). Similarly, all fatty acids from meat were positively associated with HOMA-IR and HOMA-B and inversely with Disposition Index. CONCLUSIONS: Our study suggests that the relations between fatty acid intakes and markers of type 2 diabetes risk may depend on the dietary sources of the fatty acids. More epidemiological studies on diet and cardiometabolic disease are needed, addressing possible interactions between nutrients and their dietary sources.

The Finnish Diabetes Risk Score is associated with insulin resistance but not reduced ß-cell function, by classical and model-based estimates.

AIMS: The Finnish Diabetes Risk Score (FINDRISC) is widely used for risk stratification in Type 2 diabetes prevention programmes. Estimates of ß-cell function vary widely in people without diabetes and reduced insulin secretion has been described in people at risk for diabetes. The aim of this analysis was to evaluate FINDRISC as a tool to characterize reduced ß-cell function in individuals without known diabetes. METHODS: In this population-based cohort from the Hoorn municipal registry, subjects received an oral glucose tolerance test and a meal tolerance test on separate days, in random order, within 2 weeks. One hundred and eighty-six subjects, age 41-66 years, with no known Type 2 diabetes were included. Of those, 163 (87.6%) had normal glucose metabolism and 23 (12.4%) had abnormal glucose metabolism (19 with impaired glucose metabolism; four with newly diagnosed Type 2 diabetes based on study results). Insulin sensitivity and ß-cell function (classical: insulinogenic index; ratio of areas under insulin/glucose curves; model-based: glucose sensitivity; rate sensitivity; potentiation) estimates were calculated from oral glucose tolerance test and meal tolerance test data. RESULTS: FINDRISC was associated with insulin sensitivity (r = -0.41, P < 0.0001), insulin/glucose areas under the curve (meal tolerance test: r = 0.29, P < 0.0001; oral glucose tolerance test: r = 0.21, P = 0.01) and potentiation factor (meal tolerance test: r = 0.21, P = 0.01). After adjusting for insulin sensitivity, these associations with ß-cell function were no longer significant. CONCLUSIONS: After adjustment for insulin sensitivity, FINDRISC was not associated with reduced ß-cell function in subjects without known Type 2 diabetes. While insulin secretion and insulin sensitivity are both components in Type 2 diabetes development, insulin sensitivity appears to be the dominant component behind the association between FINDRISC and diabetes risk.

The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes.

AIMS/HYPOTHESIS: The Finnish diabetes risk questionnaire is a widely used, simple tool for identification of those at risk for drug-treated type 2 diabetes. We updated the risk questionnaire by using clinically diagnosed and screen-detected type 2 diabetes instead of drug-treated diabetes as an endpoint and by considering additional predictors. METHODS: Data from 18,301 participants in studies of the Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) project with baseline and follow-up information on oral glucose tolerance status were included. Incidence of type 2 diabetes within 5 years was used as the outcome variable. Improvement in discrimination and classification of the logistic regression model was assessed by the area under the receiver-operating characteristic (ROC) curve and by the net reclassification improvement. Internal validation was by bootstrapping techniques. RESULTS: Of the 18,301 participants, 844 developed type 2 diabetes in a period of 5 years (4.6%). The Finnish risk score had an area under the ROC curve of 0.742 (95% CI 0.726-0.758). Re-estimation of the regression coefficients improved the area under the ROC curve to 0.766 (95% CI 0.750-0.783). Additional items such as male sex, smoking and family history of diabetes (parent, sibling or both) improved the area under the ROC curve and net reclassification. Bootstrapping showed good internal validity. CONCLUSIONS/INTERPRETATION: The predictive value of the original Finnish risk questionnaire could be improved by adding information on sex, smoking and family history of diabetes. The DETECT-2 update of the Finnish diabetes risk questionnaire is an adequate and robust predictor for future screen-detected and clinically diagnosed type 2 diabetes in Europid populations.

Meal composition affects insulin secretion in women with type 2 diabetes: a comparison with healthy controls. The Hoorn prandial study.

BACKGROUND/OBJECTIVE: Early insulin secretion following a meal is representative for normal physiology and may depend on meal composition. To compare the effects of a fat-rich and a carbohydrate-rich mixed meal on insulinogenic index as a measure of early insulin secretion in normoglycemic women (NGM) and in women with type 2 diabetes mellitus (DM2), and to assess the relationship of anthropometric and metabolic factors with insulinogenic index. SUBJECTS/METHODS: Postmenopausal women, 76 with NGM and 64 with DM2, received a fat-rich meal and a carbohydrate-rich meal on separate occasions. Early insulin response was estimated as insulinogenic index ( big up tri, Deltainsulin(0-30 min)/ big up tri, Deltaglucose(0-30 min)) for each meal. Associations of fasting and postprandial triglycerides, body mass index, waist and hip circumference and alanine aminotransferase with insulinogenic indices were determined. RESULTS: Women with NGM present with higher insulinogenic index than women with DM2. The insulinogenic index following the fat-rich meal ( big up tri, DeltaI(30)/ big up tri, DeltaG(30) (fat)) was higher than the index following the carbohydrate-rich meal (big up tri, DeltaI(30)/ big up tri, DeltaG(30) (CH)) (P<0.05 in women with DM2, and not significant in women with NGM). In women with DM2, homeostasis model assessment for insulin resistance was positively associated with big up tri, DeltaI(30)/ big up tri, DeltaG(30) (CH). In women with NGM, waist circumference was independently and inversely associated with big up tri, DeltaI(30)/ big up tri, DeltaG(30) (fat) and with big up tri, DeltaI(30)/ big up tri, DeltaG(30) (CH); hip circumference was positively associated with big up tri, DeltaI(30)/ big up tri, DeltaG(30) (fat). CONCLUSIONS: The insulinogenic index following the fat-rich meal was higher than following the isocaloric carbohydrate-rich meal, which might favorably affect postprandial glucose excursions, especially in women with DM2. The association between a larger waist circumference and a lower meal-induced insulinogenic index in women with NGM requires further mechanistic studies.

[Estimating the individual risk of diabetes: not on the grounds of overweight only]. / Schatting van het individuele risico op diabetes: niet op grond van overgewicht alleen.

Overweight (BMI level > or =25 kg/m2) and in particular high abdominal fat levels (waist circumference > or =88 cm in women and > or =102 cm in men), are among the main risk factors for the development of type 2 diabetes mellitus. Results from the Hoorn Study show that 16.3% of overweight participants with high abdominal fat levels developed diabetes within 6 years, compared with 6.8% of those who were not overweight and had low abdominal fat levels. Information on overweight and abdominal fat level is not enough to properly estimate the risk of type 2 diabetes in an individual patient. The combination of information on overweight with information on other important risk factors for diabetes, such as family history, age, blood pressure and elevated blood glucose levels in the form of a calculated diabetes risk score, gives a better estimate of the individual diabetes risk.

[Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands]. / Finse vragenlijst redelijk goede voorspeller van het optreden van diabetes in Nederland.

OBJECTIVE: To establish whether the Finnish diabetes risk score for predicting the incidence of diabetes (FINDRISK) is also valid in the Netherlands, and to choose cut-off points suitable for the Dutch situation. DESIGN: . Descriptive. METHOD: The FINDRISK was validated in 3 Dutch cohort studies by means of repeated glucose measurements: the Hoorn study (n=5434), the PREVEND study (n=2713) and part of the Maastricht cohort from the MORGEN study (n=863). The predictive value was evaluated using receiver operating characteristic (ROC) analyses. The risk categories were defined on the basis of sensitivity, specificity and positive predictive value. RESULTS: The predictive value of the FINDRISK was best in the PREVEND cohort (area under the ROC curve 0.77) and was lower for the Hoorn study and the Maastricht cohort (area under the ROC-curve 0.71 for both). The scores were divided into three risk categories: low risk (score lower than 7), slightly increased risk (score 7-9) and increased risk (score so or higher). The percentage of persons with incident diabetes within about 5 years was < 6 in the low risk category, 6-14 in the category with slightly increased risk and 12-26 in the category with increased risk. 16-28% of the Dutch population studied had a score of 10 or higher. CONCLUSION: The FINDRISK is a reasonably good predictor for incident diabetes in the Netherlands.

Postprandial glucose and not triglyceride concentrations are associated with carotid intima media thickness in women with normal glucose metabolism: the Hoorn prandial study.

The present study aimed to compare the associations of postprandial glucose (ppGL) and postprandial triglycerides (ppTG) with carotid intima media thickness (cIMT) in women with normal glucose metabolism (NGM) and type 2 diabetes (DM2). Post-menopausal women (76 with NGM, 78 with DM2), received two consecutive fat-rich and two consecutive carbohydrate-rich meals on separate occasions. Blood samples were taken before and 1, 2, 4, 6 and 8h following breakfast; lunch was given at t=4. Ultrasound imaging of the carotid artery was performed to measure cIMT. In women with NGM, an increase of 1.0 mmol/l glucose following the fat-rich meals was associated with a 50 microm cIMT increase (p=0.04), and following the carbohydrate meals, an increase of 1.8 mmol/l glucose was associated with a 50 microm larger cIMT (p=0.08). These associations were not explained by classical cardiovascular risk factors. However, no association between ppGL and cIMT was found in women with DM2 and ppTG were not associated with cIMT. The association between ppGL and cIMT in normoglycaemic women suggests that ppGL in the normal range is a marker or a risk factor for atherosclerosis. Postprandial glucose levels might be a better indicator of risk than post-OGTT glucose levels or triglyceride levels.

Elevated cholesteryl ester transfer protein concentration is associated with an increased risk for cardiovascular disease in women, but not in men, with Type 2 diabetes: the Hoorn Study.

AIMS: Cholesteryl ester transfer protein (CETP) exchanges neutral lipids between lipoproteins. As the role of CETP in the atherogenic process is still not fully clarified, we studied the association of CETP concentration with the prevalence of cardiovascular disease (CVD) and with intima-media thickness of the carotid artery (IMT) in subjects with normal glucose tolerance (NGT), impaird fasting glucose and/or impaired glucose tolerance (IFG/IGT) and Type 2 diabetes mellitus. METHODS: Subjects (n = 566) were recruited from the 2000-2001 follow-up examination of the Hoorn study. CETP concentration was determined by immunoassay. CVD was defined as self-reported history of arterial surgery, cerebral vascular event, amputation, angina, claudication, possible infarction, measured ankle-brachial index < 0.90 or ECG abnormalities. The right common carotid artery IMT was measured by ultrasound at 10 mm proximal to the carotid bulb. RESULTS: In men, CETP concentration was not associated with CVD, irrespective of glucose tolerance status. In women with NGT or IGT, there was also no relationship. However, in women with Type 2 diabetes, the risk of CVD was increased in those with high CETP concentration [odds ratio = 3.34 (1.56; 7.14)]. No statistically significant association was found between CETP concentration and IMT in the entire cohort. CONCLUSIONS: In an elderly Caucasian population, associations of CETP concentration with CVD were dependent on glucose tolerance status and gender. The finding that high CETP concentration was strongly associated with increased prevalence of CVD in women with Type 2 diabetes warrants further investigation.