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T W van Haeften

Publications and source records attributed to T W van Haeften.

At least 19 recordsLinked to original sources

Association of variants of transcription factor 7-like 2 (TCF7L2) with susceptibility to type 2 diabetes in the Dutch Breda cohort.

AIM/HYPOTHESIS: A strong association between susceptibility to type 2 diabetes and common variants of transcription factor 7-like 2 (TCF7L2), encoding an enteroendocrine transcription factor involved in glucose homeostasis, has been reported in three different populations (Iceland, Denmark and USA) by Grant et al. We aimed to replicate these findings in a Dutch cohort. METHODS: We analysed the genotypes of two intronic single nucleotide polymorphisms (SNPs) in TCF7L2 gene in 502 unrelated type 2 diabetes patients and in a set of healthy controls (n = 920). The two SNPs showed almost complete linkage disequilibrium (D' = 0.91). RESULTS: We were able to replicate the previously reported association in our Breda cohort. The minor alleles of both variants were significantly over-represented in cases (odds ratio [OR] 1.29, 95% CI 1.09-1.52, [Formula: see text] for rs12255372; OR 1.41, 95% CI 1.19-1.66, [Formula: see text] for rs7903146). In addition, TCF7L2 haplotypes were analysed for association with the disease. The analysis of haplotypes did not reveal any strong association beyond that expected from analysing individual SNPs. The TT haplotype carrying the minor alleles was more frequent among cases (OR 1.38, [Formula: see text]). CONCLUSIONS/INTERPRETATION: Our data strongly confirm that variants of the TCF7L2 gene contribute to the risk of type 2 diabetes. The population-attributable risk from this factor in the Dutch type 2 diabetes population is 10%.

Aged↗

Effect of octreotide on plasma concentrations of glucose, insulin, glucagon, growth hormone, and cortisol in healthy dogs and dogs with insulinoma.

The inhibitory effect of the somatostatin analogue octreotide on the secretion of insulin could be used in the treatment of insulinoma. However, current information on the effectiveness of octreotide in dogs is conflicting. Therefore, the endocrine effects of a single subcutaneous dose of 50 microg octreotide were studied in healthy dogs in the fasting state (n=7) and in dogs with insulinoma (n=12). Octreotide did not cause any adverse effects. In healthy dogs in the fasting state, both plasma insulin and glucagon concentrations declined significantly. Basal (non-pulse related) GH and ACTH concentrations were not affected. A slight but significant decrease in the plasma glucose concentrations occurred. Dogs with insulinoma had significantly higher baseline insulin concentrations and lower baseline glucose concentrations than healthy dogs in the fasting state. Plasma glucagon, GH, ACTH, and cortisol concentrations did not differ from those in healthy dogs. Baseline plasma insulin concentrations decreased significantly in dogs with insulinoma after octreotide administration, whereas plasma concentrations of glucagon, GH, ACTH, and cortisol did not change. In contrast to the effects in the healthy dogs, in the dogs with insulinoma plasma glucose concentrations increased. Thus, the consistent suppression of plasma insulin concentrations in dogs with insulinoma, in the absence of an suppressive effect on counter-regulatory hormones, suggests that further studies on the effectiveness of slow-release preparations in the long-term medical treatment of dogs with insulinoma are warranted.

Animals↗

Insulin-like growth factors and pancreas beta cells.

Abstract Insulin-like growth factors (IGFs) have been implicated in normal growth, and especially foetal pancreas beta-cell development. As low birth weight has been implicated in the development of obesity and type 2 diabetes, much research has evolved into the importance of IGF and their signalling pathways for pancreas beta-cell development, and for type 2 diabetes. Insulin-like growth factor-I signalling has a lot in common with insulin signalling, and is involved in diverse cellular effects such as antiapoptosis, protein synthesis, cell growth and mitogenesis. Insulin-like growth factor-II can be bound by the insulin receptor A subtype and the IGF-1 receptor, which may explain its antiapoptotic effect. Various knock-out model studies indicate that absence of IGF-I or the IGF-1 receptor is critical for foetal and postnatal growth. Similarly, knock-out models of post-receptor molecules (such as IRS-2) point to the physiological role of IGFs for pancreas beta-cell development. A beta-cell-specific IGF-1 receptor knock out model indicates the importance of IGF-I for beta-cell function. The Goto-Kakizaki (GK) rat, a model for diabetes, has insufficient beta-cell development, which may be related to its defective IGF-II synthesis. As normal pancreas beta cells adapt to the prevailing insulin resistance with increasing beta-cell function, it is possible that insulin resistance interacts with IGF signalling in pancreas beta cells.

Animals↗

Determinants of insulin sensitivity in chronic heart failure.

OBJECTIVE: To describe the determinants of insulin sensitivity (IS) in chronic heart failure (CHF), we created a model in which the influence of lifestyle factors and etiology of heart failure on IS were incorporated concomitantly with age, left ventricular ejection fraction (LVEF) and parameters of body composition. DESIGN: Observational cohort study. SETTING: Outpatient clinic for chronic heart failure. PATIENTS: Fifty-seven male CHF patients [NYHA class II-III, age 61+/-9 years, body mass index (BMI) 26.9+/-3.3 kg/m2 (mean+/-S.D.)]. INTERVENTIONS: Euglycemic hyperinsulinemic clamp, cycle ergometry, anthropometric measurements, LVEF and a physical activity questionnaire. MAIN OUTCOME MEASURES: A model explaining the variance of IS in CHF. RESULTS: IS was 18.2+/-8.6 microg.kg(-1).min(-1).mU(-1).l(-1), fasting insulin level was 15.9+/-11.0 mU/l and fasting glucose level was 5.5+/-0.6 mmol/l. Peak VO2 was 19.1+/-4.9 ml.kg(-1).min(-1) and LVEF 26.2+/-7.1%. IS was inversely associated with fasting insulin concentration (r=-0.50, P<0.001) and BMI (r=-0.54, P<0.001). After controlling for BMI, IS also revealed a correlation with age (r=-0.36, P<0.01). The model explained 60% of variance in IS: BMI contributed 20%, smoking 17%, age 17% and physical activity in daily life (DPA) 16% (all P<0.05) to the variance of IS, whereas LVEF (9%) and etiology of heart failure (8%) contributed moderately. CONCLUSIONS: In CHF patients, IS is for a major part predicted by BMI, smoking, age, daily physical activity, LVEF and etiology of heart failure.

Adult↗

Genome-wide screen in obese pedigrees with type 2 diabetes mellitus from a defined Dutch population.

A genome scan was performed in obese type 2 diabetes mellitus pedigrees to identify susceptibility loci involved in obesity-driven type 2 diabetes mellitus. We studied the 20% most obese diabetes pedigrees from a confined Dutch population from around the town of Breda. Previously we, and others, have already shown that a susceptibility locus influencing obesity in diabetes may reside on chromosome 18p11. We now report evidence to also suggest linkage for type 2 diabetes in these obese pedigrees on chromosome regions 11p (genome-wide P-value </= 0.061) and 12q (genome-wide P-value </= 0.029), thereby confirming previous findings from corresponding regions. The linkage found in the Breda Cohort of type 2 diabetes patients is influenced by obesity. This supports the notion that a genetic predisposition to obesity is probably intertwined with a genetic predisposition to type 2 diabetes. Further efforts should address the question of how, on a genetic level, these two factors interact.

Adult↗

A genome-wide scan in type 2 diabetes mellitus provides independent replication of a susceptibility locus on 18p11 and suggests the existence of novel Loci on 2q12 and 19q13.

A genome-wide scan was performed, using nonparametric linkage analyses, to find susceptibility loci for type 2 diabetes mellitus in the Dutch population. We studied 178 families from The Netherlands, who constituted 312 affected sibling pairs. The first stage of the genome scan consisted of 270 DNA markers, with an average intermarker spacing of 13 cM. Because obesity and type 2 diabetes mellitus are interrelated, the data set was stratified for the subphenotype body mass index, corrected for age and gender. This resulted in a suggestive maximum multipoint LOD score of 2.3 (single-point P value, 9.7 x 10(-4); genome-wide P value, 0.028) for the most obese 20% pedigrees of the data set, between marker loci D18S471 and D18S843. In the lowest 80% obese pedigrees, two interesting loci on chromosome 2 and 19 were found, with LOD scores of 1.5 and 1.3. We provide independent evidence that the chromosome 18p11 locus, reported earlier from a Finnish/Swedish population, is of definite interest for type 2 diabetes mellitus in connection with obesity. Subsequently, our results indicate that two novel loci may reside on chromosomes 2 and 19, with minor effects involved in the development of type 2 diabetes mellitus in the Dutch population.

Aged↗

Gliclazide mainly affects insulin secretion in second phase of type 2 diabetes mellitus.

We studied the effect of the acute administration of gliclazide at 160 mg on insulin release during hyperglycaemic clamps in 12 type 2 diabetes patients, age 50 +/- 9.0 years, diabetes duration 5.5 +/- 4.8 years, fasting blood glucose 9.6 +/- 2.1 mmol/L (means +/- SD). After a 210 min of hyperinsulinaemic euglycaemic clamp (blood glucose 4.6 +/- 0.14mmol/L), gliclazide or placebo (randomised, double-blind, cross-over) was administered; 60 minutes later, a hyperglycaemic clamp (4hr) at 8mmol/L was started. Plasma C-peptide levels increased significantly after the administration of gliclazide (increment 0.17 +/- 0.15 vs. 0.04 +/- 0.07 nmol/L, p = 0.024) before the clamp. After the start of the hyperglycaemic clamp, the areas under the curve (AUC) for insulin and C-peptide did not differ from 0-10 min (first phase) with gliclazide. However, second-phase insulin release (30-240 min) was markedly enhanced by gliclazide. AUC plasma insulin (30 to 240 min) was statistically significantly higher after gliclazide (12.3 +/- 13.9 vs. -0.56 +/- 9.4 nmol/L x 210 min, p = 0.022); similarly, AUC plasma C-peptide (30 to 240 min) was also higher: 128 +/- 62 vs. 63 +/- 50 nmol/L x 210 min, p = 0.002). In conclusion, in long-standing type 2 diabetes the acute administration of gliclazide significantly enhances second phase insulin release at a moderately elevated blood glucose level. In contrast to previous findings in mildly diabetic subjects, these 12 type 2 diabetes patients who had an inconsiderable first phase insulin release on the placebo day, only showed an insignificant increase in first phase with gliclazide.

Adult↗

Defining the genetic contribution of type 2 diabetes mellitus.

Type 2 diabetes mellitus is a common multifactorial genetic syndrome, which is determined by several different genes and environmental factors. It now affects 150 million people world wide but its incidence is increasing rapidly because of secondary factors, such as obesity, hypertension, and lack of physical activity. Many studies have been carried out to determine the genetic factors involved in type 2 diabetes mellitus. In this review we look at the different strategies used and discuss the genome wide scans performed so far in more detail. New technologies, such as microarrays, and the discovery of SNPs will lead to a greater understanding of the pathogenesis of type 2 diabetes mellitus and to better diagnostics, treatment, and eventually prevention.

Animals↗

Reduced second phase insulin secretion in carriers of a sulphonylurea receptor gene variant associating with Type II diabetes mellitus.

AIMS/HYPOTHESIS: The sulphonylurea receptor is a subunit of the ATP-sensitive potassium channel in the pancreatic beta cell. Mutations at nt -3 of the splice acceptor site of exon 16 and a silent mutation in exon 18 of the gene for the sulphonylurea receptor (SUR1) associate with Type II (non-insulin-dependent) diabetes mellitus in several independent populations. We investigated whether these gene variants associate with changes in the pattern of glucose-stimulated insulin secretion. METHODS: Subjects who had normal glucose tolerance (n = 67) and subjects with an impaired glucose tolerance (n = 94), originating from two independent studies, were included in the study. Beta-cell function and insulin sensitivity were assessed by the hyperglycaemic clamp. RESULTS: Frequencies of the exon 16 -3t allele in the normal and impaired glucose tolerant groups were 46% and 44% respectively (p = NS). The more rare exon 18 T allele showed frequencies of 5 and 7% respectively (p = NS). We observed an approximately 25% reduced second-phase insulin secretion in carriers of the exon 16 -3t allele in both groups (p < 0.05). Estimates of insulin sensitivity did not show differences between carriers and non-carriers. The variant in exon 18 and the combined presence of variants in exon 16 and exon 18 were not associated with differences in insulin secretion or insulin sensitivity in our study groups. CONCLUSION/INTERPRETATION: The diabetes associated exon 16 -3t variant of the SUR1 gene associates with a functional change of the beta cell as reflected by reduced second-phase insulin secretion in response to a standardized hyperglycaemia in normal and impaired glucose tolerant subjects.

ATP-Binding Cassette Transporters↗

Lower beta-cell secretion in physically active first-degree relatives of type 2 diabetes patients.

Regular physical activity may prevent or postpone type 2 diabetes, and is thought to be related to an increase of insulin sensitivity. We studied whether physically active, glucose-tolerant first-degree relatives of type 2 diabetes patients differ in glucose tolerance (oral glucose tolerance test [OGTT]) and insulin secretion (hyperglycemic glucose clamp) from less active first-degree relatives. A group of 37 relatives was split into 2 subgroups according to the sex-specific median of the sports index, assessed by a questionnaire, as the cutoff point. Blood glucose levels during the OGTT were lower in the highly active subgroup versus the less active counterparts (multivariate ANOVA [MANOVA], P = .011), but the plasma insulin levels were similar. First-phase secretion was not different in the highly active group versus the less active group, but second-phase secretion (average plasma insulin in the third hour) was significantly lower (P = .016). As expected, the insulin sensitivity index (ISI) was higher in the highly active subgroup (P= .011). Subdivision into subgroups with high or low maximal O2 consumption (VO2max) resulted in similar differences, but these were not significant. In a group of 21 controls, the results resembled the values in the relatives but were less often statistically significant. In conclusion, regular physical activity not only is associated with increased insulin sensitivity but also downregulates the pancreatic beta cell. This downregulation may provide an extra mechanism by which physical activity diminishes the development of type 2 diabetes.

Adult↗

Relative conributions of beta-cell function and tissue insulin sensitivity to fasting and postglucose-load glycemia.

We performed hyperglycemic clamps in 283 nondiabetic Caucasians and, with multiple linear regression, determined the contribution of beta-cell function and tissue insulin sensitivity to variations in glycemia and insulinemia during oral glucose tolerance tests (OGTTs). Impaired glucose tolerance (IGT) subjects had reduced insulin sensitivity (P < .02) and beta-cell function (P < .0001). Normal glucose tolerance (NGT) subjects with first-degree type 2 diabetic relatives had reduced first and second phase insulin secretion (both, P < .05), but normal insulin sensitivity (P = .37). Beta-Cell function and insulin sensitivity accounted for one fourth of the variability in glucose tolerance. Fasting plasma glucose in subjects with NGT (n = 185) was a function of both phases of insulin secretion and of insulin sensitivity (all, P < .05), whereas, in IGT subjects (n = 98), it was a function of first phase insulin secretion and insulin sensitivity (P < .01). Two-hour glycemia was a function of second phase secretion and insulin sensitivity (P < .01). Fasting and 2-hour plasma insulin levels were determined by insulin sensitivity (and glycemia) in NGT subjects (P < .001), but by second phase secretion in IGT (P < .001). We conclude that beta-cell function is reduced in subjects with IGT; glycemia and insulinemia are not regulated by the same mechanisms in IGT and NGT; insulin sensitivity does not contribute to insulinemia in IGT; family history of diabetes influences beta-cell function, but not insulin sensitivity in Caucasians.

Adult↗

Clinical characteristics of type 1 diabetic patients with and without severe hypoglycemia.

OBJECTIVE: To investigate the frequency of severe hypoglycemia (SH) and hypoglycemic coma and to identify clinical and behavioral risk indicators in a nonselected population of type 1 diabetic patients. RESEARCH DESIGN AND METHODS: This study involved a retrospective clinical survey of 195 consecutive patients using a questionnaire addressing the frequency of SH (i.e., help from others required) and hypoglycemic coma during the previous year, general characteristics, behavior, hypoglycemia awareness, and the Hypoglycemia Fear Survey Data regarding diabetes, treatment, long-term complications, comorbidity, and comedication were obtained from the patients' medical records. RESULTS: A total of 82% of subjects were receiving intensive insulin treatment, and mean +/- SD HbA(1c) was 7.8 +/- 1.2%. Mean duration of diabetes was 20 +/- 12 years. The occurrence of SH (including hypoglycemic coma) was 150 episodes/100 patient-years and affected 40.5% of the population. Hypoglycemic coma occurred in 19% of subjects (40 episodes/100 patient-years). SH without coma was independently related to nephropathy (odds ratio [OR] 4.8 [95% CI 1.5-15.1]), a threshold for hypoglycemic symptoms of <3 mmol/l (4.8 [1.8-12.0]), and a daily insulin dose 0.1 U/kg higher (1.3 [1.0-1.6]) (all ORs were adjusted for diabetes duration and use of comedication). Hypoglycemic coma was independently related to neuropathy (3.9 [1.5-10.4]), (nonselective) beta-blocking agents (14.9 [2.1-107.4]), and alcohol use (3.5 [1.3-9.1]) (all ORs were adjusted for diabetes duration). CONCLUSIONS: SH and hypoglycemic coma are common in a nonselected population with type 1 diabetes. The presence of long-term complications, a threshold for symptoms of <3 mmo/l, alcohol use, and (nonselective) beta-blockers were associated with SH during the previous year. If prospectively confirmed, these results may have consequences for clinical practice.

Adult↗