Association of artificially sweetened and sugar-sweetened soft drinks with ß-cell function, insulin sensitivity, and type 2 diabetes: the Maastricht Study.

PURPOSE: Artificially sweetened and sugar-sweetened beverage consumptions have both been reported to be associated with type 2 diabetes mellitus (T2D) risk. The aim of the current study was to investigate the potential underlying associations with dynamic pancreatic ß-cell function (BCF) and insulin sensitivity. METHODS: We evaluated cross-sectional associations in 2240 individuals (mean ± SD age 59.6 ± 8.18, 49.4% male, 21.9% T2D) participating in a diabetes-enriched population-based cohort. Artificially sweetened and sugar-sweetened soft drinks and juice consumption were assessed by a food-frequency questionnaire. Glucose metabolism status, insulin sensitivity, and BCF were measured by a seven-point oral glucose tolerance test. Regression analyses were performed to assess associations of artificially and sugar-sweetened beverage consumption with measures of glucose homeostasis. Associations were adjusted for potential confounders, and additionally with and without total energy intake and BMI, as these variables could be mediators. RESULTS: Moderate consumption of artificially sweetened soft drink was associated with lower ß-cell glucose sensitivity [standardized beta (95% CI), - 0.06 (- 0.11, - 0.02)], total insulin secretion [ß - 0.06 (- 0.10, - 0.02)], and with lower ß-cell rate sensitivity [odds ratio (95% CI), 1.29 (1.03, 1.62)] compared to abstainers. Daily artificially sweetened soft drink consumption was associated with lower ß-cell glucose sensitivity [ß - 0.05 (- 0.09, 0.00)], and total insulin secretion [ß - 0.05 - 0.09, - 0.01)] compared to abstainers. CONCLUSIONS: Moderate and daily consumption of artificially sweetened soft drinks was associated with lower BCF, but not with insulin sensitivity. No evidence was found for associations of sugar-sweetened soft drink and juice consumption with BCF or insulin sensitivity in this middle-aged population. Prospective studies are warranted to further investigate the associations of artificially and sugar-sweetened beverage consumption with non-fasting insulin sensitivity and multiple BCF aspects.

Prospective associations of dietary carbohydrate, fat, and protein intake with ß-cell function in the CODAM study.

PURPOSE: Type 2 diabetes mellitus (T2DM) is characterized by both impaired pancreatic ß-cell function (BCF) and insulin resistance. In the etiology of T2DM, BCF basically determines whether a person with a certain degree of insulin resistance develops T2DM, as ß-cells are able to compensatorily increase insulin secretion. The effects of dietary intake on BCF are largely unknown. Our study aim was to investigate whether dietary macronutrient intake predicts BCF. METHODS: Prospective data (median follow-up 7 years) of 303 individuals recruited from the CODAM study population (aged 40-70 years, 39% women) were analyzed. BCF was measured by C-peptide deconvolution and physiological modeling of data from a 5-point, 75-g, 2-h oral glucose tolerance test. Macronutrient intake was estimated by a 178-item Food Frequency Questionnaire. RESULTS: Associations adjusted for relevant covariates of baseline macronutrient intake with model-derived parameters describing BCF (glucose sensitivity, rate sensitivity or potentiation) or C-peptidogenic index were detected for trans fat [standardized regression coefficient (95%-CI) glucose sensitivity - 0.14 (- 0.26, - 0.01)] per g, cholesterol [potentiation 0.20 (0.02, 0.37)] per 100 mg, dietary fiber [glucose sensitivity 0.21 (0.08, 0.33)] per 10 g, MUFA glucose sensitivity 0.16 (0.02, 0.31) per 10 g, and polysaccharide [potentiation - 0.24 (- 0.43, - 0.05), C-peptidogenic index - 0.16 (- 0.29 - 0.03); odds ratio lowest versus highest tertile (95%-CI) rate sensitivity 1.51 (1.06, 2.15)) per 50 g. CONCLUSIONS: In this population at high risk for developing T2DM, polysaccharide and trans fat intake were associated with worse BCF, whereas increased intake of MUFA, dietary cholesterol, and fiber were associated with better BCF.

Discriminatory ability of simple OGTT-based beta cell function indices for prediction of prediabetes and type 2 diabetes: the CODAM study.

AIMS/HYPOTHESIS: The hyperglycaemic clamp technique and the frequently sampled IVGTT are unsuitable techniques to assess beta cell function (BCF) in large cohorts. Therefore, the aim of this study was to evaluate the discriminatory ability of simple OGTT-based BCF indices for prediction of prediabetes (meaning impaired fasting glucose and/or impaired glucose tolerance) and type 2 diabetes. METHODS: Glucose metabolism status was assessed by 2 h 75 g OGTT at baseline (n = 476, mean age 59.2 years, 38.7% women) and after 7 years of follow-up (n = 416) in the Cohort on Diabetes and Atherosclerosis Maastricht (CODAM) study (1999-2009). Baseline plasma glucose, insulin and C-peptide values during OGTTs were used to calculate 21 simple indices of BCF. Disposition indices (BCF index × Matsuda index), to compensate for the prevailing level of insulin resistance, were calculated for the BCF indices with the best discriminatory abilities. The discriminatory ability of the BCF indices was estimated by the area under the receiver operating characteristics curve (ROC AUC) with an outcome of incident prediabetes (n = 73) or type 2 diabetes (n = 60 and n = 18 cases, respectively, in individuals who were non-diabetic or had normal glucose metabolism at baseline). RESULTS: For incident prediabetes (n = 73), all ROC AUCs were less than 70%, whereas for incident type 2 diabetes, I30/I0, CP30/CP0, ΔI30/ΔG30, ΔCP30/ΔG30 (where I, CP and G are the plasma concentrations of insulin, C-peptide and glucose, respectively, at the times indicated), and corrected insulin response at 30 min had ROC AUCs over 70%. In at-baseline non-diabetic individuals, disposition indices ΔI30/ΔG30, ΔCP30/ΔG30 and corrected insulin response at 30 min had ROC AUCs of over 80% for incident type 2 diabetes. Moreover, these BCF disposition indices had significantly better discriminatory abilities for incident type 2 diabetes than the Matsuda index alone. CONCLUSIONS/INTERPRETATION: BCF indices reflecting early-phase insulin secretion have the best ability to discriminate individuals who will develop prediabetes and type 2 diabetes. Of these, ΔCP30/ΔG30, often referred to as the C-peptidogenic index, performed consistently well.