Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Annemarie M. Simonis-Bik is active.

Publication


Featured researches published by Annemarie M. Simonis-Bik.


Diabetes | 2010

Gene variants in the novel type 2 diabetes loci CDC123/CAMK1D, THADA, ADAMTS9, BCL11A and MTNR1B affect different aspects of pancreatic beta cell function.

Annemarie M. Simonis-Bik; Giel Nijpels; Timon W. van Haeften; Jeanine J. Houwing-Duistermaat; Dorret I. Boomsma; Erwin Reiling; Els C. van Hove; Michaela Diamant; Mark H. H. Kramer; Robert J. Heine; J. Antonie Maassen; P. Eline Slagboom; Gonneke Willemsen; Jacqueline M. Dekker; E.M.W. Eekhoff; Eco J. C. de Geus; Leen M. 't Hart

OBJECTIVE Recently, results from a meta-analysis of genome-wide association studies have yielded a number of novel type 2 diabetes loci. However, conflicting results have been published regarding their effects on insulin secretion and insulin sensitivity. In this study we used hyperglycemic clamps with three different stimuli to test associations between these novel loci and various measures of β-cell function. RESEARCH DESIGN AND METHODS For this study, 336 participants, 180 normal glucose tolerant and 156 impaired glucose tolerant, underwent a 2-h hyperglycemic clamp. In a subset we also assessed the response to glucagon-like peptide (GLP)-1 and arginine during an extended clamp (n = 123). All subjects were genotyped for gene variants in JAZF1, CDC123/CAMK1D, TSPAN8/LGR5, THADA, ADAMTS9, NOTCH2/ADAMS30, DCD, VEGFA, BCL11A, HNF1B, WFS1, and MTNR1B. RESULTS Gene variants in CDC123/CAMK1D, ADAMTS9, BCL11A, and MTNR1B affected various aspects of the insulin response to glucose (all P < 6.9 × 10−3). The THADA gene variant was associated with lower β-cell response to GLP-1 and arginine (both P < 1.6 × 10−3), suggesting lower β-cell mass as a possible pathogenic mechanism. Remarkably, we also noted a trend toward an increased insulin response to GLP-1 in carriers of MTNR1B (P = 0.03), which may offer new therapeutic possibilities. The other seven loci were not detectably associated with β-cell function. CONCLUSIONS Diabetes risk alleles in CDC123/CAMK1D, THADA, ADAMTS9, BCL11A, and MTNR1B are associated with various specific aspects of β-cell function. These findings point to a clear diversity in the impact that these various gene variants may have on (dys)function of pancreatic β-cells.


Diabetes | 2013

The CTRB1/2 locus affects diabetes susceptibility and treatment via the incretin pathway

Leen M. ‘t Hart; Andreas Fritsche; Giel Nijpels; Nienke van Leeuwen; Louise A. Donnelly; Jacqueline M. Dekker; Marjan Alssema; João Fadista; Françoise Carlotti; Anette P. Gjesing; Colin N. A. Palmer; Timon W. van Haeften; Silke A. Herzberg-Schäfer; Annemarie M. Simonis-Bik; Jeanine J. Houwing-Duistermaat; Quinta Helmer; Joris Deelen; Bruno Guigas; Torben Hansen; Fausto Machicao; Gonneke Willemsen; Robert J. Heine; Mark H. H. Kramer; Jens J. Holst; Eelco J.P. de Koning; Hans-Ulrich Häring; Oluf Pedersen; Leif Groop; Eco J. C. de Geus; P. Eline Slagboom

The incretin hormone glucagon-like peptide 1 (GLP-1) promotes glucose homeostasis and enhances β-cell function. GLP-1 receptor agonists (GLP-1 RAs) and dipeptidyl peptidase-4 (DPP-4) inhibitors, which inhibit the physiological inactivation of endogenous GLP-1, are used for the treatment of type 2 diabetes. Using the Metabochip, we identified three novel genetic loci with large effects (30–40%) on GLP-1–stimulated insulin secretion during hyperglycemic clamps in nondiabetic Caucasian individuals (TMEM114; CHST3 and CTRB1/2; n = 232; all P ≤ 8.8 × 10−7). rs7202877 near CTRB1/2, a known diabetes risk locus, also associated with an absolute 0.51 ± 0.16% (5.6 ± 1.7 mmol/mol) lower A1C response to DPP-4 inhibitor treatment in G-allele carriers, but there was no effect on GLP-1 RA treatment in type 2 diabetic patients (n = 527). Furthermore, in pancreatic tissue, we show that rs7202877 acts as expression quantitative trait locus for CTRB1 and CTRB2, encoding chymotrypsinogen, and increases fecal chymotrypsin activity in healthy carriers. Chymotrypsin is one of the most abundant digestive enzymes in the gut where it cleaves food proteins into smaller peptide fragments. Our data identify chymotrypsin in the regulation of the incretin pathway, development of diabetes, and response to DPP-4 inhibitor treatment.


Diabetes | 2010

Combined Risk Allele Score of Eight Type 2 Diabetes Genes Is Associated With Reduced First-Phase Glucose-Stimulated Insulin Secretion During Hyperglycemic Clamps

Leen M. 't Hart; Annemarie M. Simonis-Bik; Giel Nijpels; Timon W. van Haeften; Silke A. Schäfer; Jeanine J. Houwing-Duistermaat; Dorret I. Boomsma; Marlous J. Groenewoud; Erwin Reiling; Els C. van Hove; Michaela Diamant; Mark H. H. Kramer; Robert J. Heine; J. Antonie Maassen; Kerstin Kirchhoff; Fausto Machicao; Hans-Ulrich Häring; P. Eline Slagboom; Gonneke Willemsen; E.M.W. Eekhoff; Eco J. C. de Geus; Jacqueline M. Dekker; Andreas Fritsche

OBJECTIVE At least 20 type 2 diabetes loci have now been identified, and several of these are associated with altered β-cell function. In this study, we have investigated the combined effects of eight known β-cell loci on insulin secretion stimulated by three different secretagogues during hyperglycemic clamps. RESEARCH DESIGN AND METHODS A total of 447 subjects originating from four independent studies in the Netherlands and Germany (256 with normal glucose tolerance [NGT]/191 with impaired glucose tolerance [IGT]) underwent a hyperglycemic clamp. A subset had an extended clamp with additional glucagon-like peptide (GLP)-1 and arginine (n = 224). We next genotyped single nucleotide polymorphisms in TCF7L2, KCNJ11, CDKAL1, IGF2BP2, HHEX/IDE, CDKN2A/B, SLC30A8, and MTNR1B and calculated a risk allele score by risk allele counting. RESULTS The risk allele score was associated with lower first-phase glucose-stimulated insulin secretion (GSIS) (P = 7.1 × 10−6). The effect size was equal in subjects with NGT and IGT. We also noted an inverse correlation with the disposition index (P = 1.6 × 10−3). When we stratified the study population according to the number of risk alleles into three groups, those with a medium- or high-risk allele score had 9 and 23% lower first-phase GSIS. Second-phase GSIS, insulin sensitivity index and GLP-1, or arginine-stimulated insulin release were not significantly different. CONCLUSIONS A combined risk allele score for eight known β-cell genes is associated with the rapid first-phase GSIS and the disposition index. The slower second-phase GSIS, GLP-1, and arginine-stimulated insulin secretion are not associated, suggesting that especially processes involved in rapid granule recruitment and exocytosis are affected in the majority of risk loci.


PLOS ONE | 2012

Common Variants in the Type 2 Diabetes KCNQ1 Gene Are Associated with Impairments in Insulin Secretion During Hyperglycaemic Glucose Clamp

Jana V. van Vliet-Ostaptchouk; Timon W. van Haeften; Gijs W. D. Landman; Erwin Reiling; Nanne Kleefstra; Henk J. G. Bilo; Olaf H. Klungel; Anthonius de Boer; Cleo C. van Diemen; Cisca Wijmenga; H. Marike Boezen; Jacqueline M. Dekker; Esther van 't Riet; G. Nijpels; Laura M. C. Welschen; Hata Zavrelova; Elinda J. Bruin; Clara C. Elbers; Florianne Bauer; N. Charlotte Onland-Moret; Yvonne T. van der Schouw; Diederick E. Grobbee; Annemieke M. W. Spijkerman; Daphne L. van der A; Annemarie M. Simonis-Bik; E.M.W. Eekhoff; Michaela Diamant; Mark H. H. Kramer; Dorret I. Boomsma; Eco J. C. de Geus

Background Genome-wide association studies in Japanese populations recently identified common variants in the KCNQ1 gene to be associated with type 2 diabetes. We examined the association of these variants within KCNQ1 with type 2 diabetes in a Dutch population, investigated their effects on insulin secretion and metabolic traits and on the risk of developing complications in type 2 diabetes patients. Methodology The KCNQ1 variants rs151290, rs2237892, and rs2237895 were genotyped in a total of 4620 type 2 diabetes patients and 5285 healthy controls from the Netherlands. Data on macrovascular complications, nephropathy and retinopathy were available in a subset of diabetic patients. Association between genotype and insulin secretion/action was assessed in the additional sample of 335 individuals who underwent a hyperglycaemic clamp. Principal Findings We found that all the genotyped KCNQ1 variants were significantly associated with type 2 diabetes in our Dutch population, and the association of rs151290 was the strongest (OR 1.20, 95% CI 1.07–1.35, p = 0.002). The risk C-allele of rs151290 was nominally associated with reduced first-phase glucose-stimulated insulin secretion, while the non-risk T-allele of rs2237892 was significantly correlated with increased second-phase glucose-stimulated insulin secretion (p = 0.025 and 0.0016, respectively). In addition, the risk C-allele of rs2237892 was associated with higher LDL and total cholesterol levels (p = 0.015 and 0.003, respectively). We found no evidence for an association of KCNQ1 with diabetic complications. Conclusions Common variants in the KCNQ1 gene are associated with type 2 diabetes in a Dutch population, which can be explained at least in part by an effect on insulin secretion. Furthermore, our data suggest that KCNQ1 is also associated with lipid metabolism.


The Journal of Clinical Endocrinology and Metabolism | 2010

The Impact of Genetic Variation in the G6PC2 Gene on Insulin Secretion Depends on Glycemia

Martin Heni; Caroline Ketterer; Leen M. 't Hart; Felicia Ranta; Timon W. van Haeften; E.M.W. Eekhoff; Jacqueline M. Dekker; Dorret I. Boomsma; G. Nijpels; Mark H. H. Kramer; Michaela Diamant; Annemarie M. Simonis-Bik; Robert J. Heine; Eco J. C. de Geus; Silke A. Schäfer; Fausto Machicao; Susanne Ullrich; Claus Thamer; Norbert Stefan; Harald Staiger; Hans-Ulrich Häring; Andreas Fritsche

CONTEXT Single-nucleotide polymorphisms (SNPs) within the G6PC2 locus are associated with fasting glucose and insulin secretion. These SNPs are not associated with type 2 diabetes risk. OBJECTIVE Our objective was to investigate whether the impact of the SNP on variables of glucose-stimulated insulin secretion is influenced by glucose tolerance status. DESIGN, SETTING, PARTICIPANTS, AND INTERVENTION In this cross-sectional study, we genotyped 1505 healthy Caucasian subjects [normal glucose tolerance (NGT), 1098; impaired glucose tolerance (IGT)/impaired fasting glucose (IFG), 407] for SNP rs560887 within the G6PC2 locus. A subgroup of 326 subjects underwent an iv glucose tolerance test, and 512 participants took part in a hyperinsulinemic-euglycemic clamp. For replication, SNP rs560887 was genotyped in 457 subjects (NGT, 265; IGT, 192) from four independent German and Dutch studies who underwent a hyperglycemic clamp. MAIN OUTCOME MEASURE Insulin secretion was evaluated. RESULTS Carriers of the major G-allele exhibited increased fasting glycemia (P<0.0001). Insulin sensitivity and secretion were not associated with the SNP (P≥0.06). Glucose tolerance status and genotype interacted on insulin secretion (P=0.036), such that in NGT subjects, the minor A-allele of rs560887 was associated with decreased insulinogenic index (P=0.044), which was not the case in subjects with IFG/IGT (P=1.0). During the iv glucose tolerance test, an association of A-allele carriers with decreased first-phase insulin secretion was also observed only in NGT subjects (P=0.0053). Likewise, in the hyperglycemic clamp group, the A-allele was associated with decreased first-phase insulin secretion only in the NGT group (P=0.022) but not in the IGT group. CONCLUSIONS The effects of hyperglycemia on insulin secretion override the more subtle effects of genetic variation in the G6PC2 locus on insulin secretion.


Diabetologia | 2013

Effects of induced hyperinsulinaemia with and without hyperglycaemia on measures of cardiac vagal control

M. Berkelaar; E.M.W. Eekhoff; Annemarie M. Simonis-Bik; Dorret I. Boomsma; Michaela Diamant; Richard G. IJzerman; Jacqueline M. Dekker; L.M. Hart; E.J.C. de Geus

Aims/hypothesisWe examined the effects of serum insulin levels on vagal control over the heart and tested the hypothesis that higher fasting insulin levels are associated with lower vagal control. We also examined whether experimentally induced increases in insulin by beta cell secretagogues, including glucagon-like peptide-1 (GLP-1), will decrease vagal control.MethodsRespiration and ECGs were recorded for 130 healthy participants undergoing clamps. Three variables of cardiac vagal effects (the root mean square of successive differences [rMSSD] in the interbeat interval of the heart rate [IBI], heart-rate variability [HRV] caused by peak-valley respiratory sinus arrhythmia [pvRSA], and high-frequency power [HF]) and heart rate (HR) were obtained at seven time points during the clamps, characterised by increasing levels of insulin (achieved by administering insulin plus glucose, glucose only, glucose and GLP-1, and glucose and GLP-1 combined with arginine).ResultsSerum insulin level was positively associated with HR at all time points during the clamps except the first-phase hyperglycaemic clamp. Insulin levels were negatively correlated with variables of vagal control, reaching significance for rMSSD and log10HF, but not for pvRSA, during the last four phases of the hyperglycaemic clamp (hyperglycaemic second phase, GLP-1 first and second phases, and arginine). These associations disappeared when adjusted for age, BMI and insulin sensitivity. Administration of the beta cell secretagogues GLP-1 and arginine led to a significant increase in HR, but this was not paired with a significant reduction in HRV measures.Conclusion/interpretationExperimentally induced hyperinsulinaemia is not correlated with cardiac vagal control or HR when adjusting for age, BMI and insulin sensitivity index. Our findings suggest that exposure to a GLP-1 during hyperglycaemia leads to a small acute increase in HR but not to an acute decrease in cardiac vagal control.


Diabetes | 2017

A Genome-Wide Association Study of IVGTT-Based Measures of First Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants.

Andrew R. Wood; Anna Jonsson; Anne U. Jackson; Nan Wang; Nienke van Leewen; Nicholette D. Palmer; Sayuko Kobes; Joris Deelen; Lorena Boquete-Vilarino; Jussi Paananen; Alena Stančáková; Dorret I. Boomsma; Eco J. C. de Geus; E.M.W. Eekhoff; Andreas Fritsche; Mark H. H. Kramer; Giel Nijpels; Annemarie M. Simonis-Bik; Timon W. van Haeften; Anubha Mahajan; Michael Boehnke; Richard N. Bergman; Jaakko Tuomilehto; Francis S. Collins; Karen L. Mohlke; Karina Banasik; Christopher J. Groves; Mark McCarthy; Ewan R. Pearson; Andrea Natali

Understanding the physiological mechanisms by which common variants predispose to type 2 diabetes requires large studies with detailed measures of insulin secretion and sensitivity. Here we performed the largest genome-wide association study of first-phase insulin secretion, as measured by intravenous glucose tolerance tests, using up to 5,567 individuals without diabetes from 10 studies. We aimed to refine the mechanisms of 178 known associations between common variants and glycemic traits and identify new loci. Thirty type 2 diabetes or fasting glucose–raising alleles were associated with a measure of first-phase insulin secretion at P < 0.05 and provided new evidence, or the strongest evidence yet, that insulin secretion, intrinsic to the islet cells, is a key mechanism underlying the associations at the HNF1A, IGF2BP2, KCNQ1, HNF1B, VPS13C/C2CD4A, FAF1, PTPRD, AP3S2, KCNK16, MAEA, LPP, WFS1, and TMPRSS6 loci. The fasting glucose–raising allele near PDX1, a known key insulin transcription factor, was strongly associated with lower first-phase insulin secretion but has no evidence for an effect on type 2 diabetes risk. The diabetes risk allele at TCF7L2 was associated with a stronger effect on peak insulin response than on C-peptide–based insulin secretion rate, suggesting a possible additional role in hepatic insulin clearance or insulin processing. In summary, our study provides further insight into the mechanisms by which common genetic variation influences type 2 diabetes risk and glycemic traits.


Diabetic Medicine | 2012

Glucocorticoid receptor gene polymorphisms are associated with reduced first-phase glucose-stimulated insulin secretion and disposition index in women, but not in men

D. H. van Raalte; N. van Leeuwen; Annemarie M. Simonis-Bik; Giel Nijpels; T. W. van Haeften; Silke A. Schäfer; Dorret I. Boomsma; Mark H. H. Kramer; Robert J. Heine; J. A. Maassen; Harald Staiger; Fausto Machicao; Hu Häring; P. E. Slagboom; Gonneke Willemsen; E.J.C. de Geus; Jacqueline M. Dekker; Andreas Fritsche; E.M.W. Eekhoff; Michaela Diamant; Leen M. ‘t Hart

Diabet. Med. 29, e211–e216 (2012)


Diabetic Medicine | 2014

Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and Type 2 diabetes susceptibility

B. Guigas; J. E. de Leeuw van Weenen; N. van Leeuwen; Annemarie M. Simonis-Bik; T. W. van Haeften; G. Nijpels; Jeanine J. Houwing-Duistermaat; Marian Beekman; Joris Deelen; L.M. Havekes; B.W.J.H. Penninx; Nicole Vogelzangs; E. van ’t Riet; Abbas Dehghan; A. Hofman; Jaqueline C M Witteman; A.G. Uitterlinden; Niels Grarup; Torben Jørgensen; Daniel R. Witte; Torsten Lauritzen; T. Hansen; Oluf Pedersen; J.J. Hottenga; Johannes A. Romijn; Michaela Diamant; Mark H. H. Kramer; Robert J. Heine; Gonneke Willemsen; J. M. Dekker

Modulation of dopamine receptor D2 (DRD2) activity affects insulin secretion in both rodents and isolated pancreatic β‐cells. We hypothesized that single nucleotide polymorphisms in the DRD2/ANKK1 locus may affect susceptibility to Type 2 diabetes in humans.


Diabetes Research and Clinical Practice | 2011

Postprandial metabolic responses to mixed versus liquid meal tests in healthy men and men with type 2 diabetes.

Kimberly G. Brodovicz; Cynthia J. Girman; Annemarie M. Simonis-Bik; Josina M. Rijkelijkhuizen; Maartje Zelis; Mathijs C. Bunck; Andrea Mari; Giel Nijpels; E. Marelise W. Eekhoff; Jacqueline M. Dekker

AIMS Compare metabolic responses after mixed versus liquid meals of similar caloric/nutritional content in healthy and type 2 diabetes (T2D) subjects. METHODS Ten healthy men and 10 men with T2D received mixed and liquid meals after an overnight fast. Classical (insulinogenic index; insulin/glucose areas under curves, AUC(insulin)/AUC(glucose)) and model-based (beta-cell glucose sensitivity; rate sensitivity; potentiation factor ratio, PFR) beta-cell function estimates were calculated. Between-meal differences in glucose, insulin, C-peptide, triglyceride (TG), beta-cell function and oral glucose insulin sensitivity (OGIS) and between-meal correlations for beta-cell function and OGIS were evaluated. RESULTS Among healthy subjects, beta-cell function and OGIS were similar between meals. C-peptide (p=0.03), insulin (p=0.002), AUC(insulin)/AUC(glucose) (p=0.004) and insulin secretion (p=0.04) were higher after the liquid meal. Among T2D subjects, glucose, insulin, C-peptide, beta-cell function, and OGIS were similar. PFR was higher (p=0.004) and TG increased more slowly (p=0.002) after the liquid meal. OGIS and beta-cell function were correlated during both meals in both groups (r=0.66-0.98), except incremental AUC(insulin)/AUC(glucose), rate sensitivity, and, in healthy subjects, PFR. CONCLUSIONS Metabolic responses after mixed or liquid meals of similar content were highly correlated in T2D and healthy subjects. In T2D, the liquid meal produced beta-cell function estimates generally similar to the mixed meal.

Collaboration


Dive into the Annemarie M. Simonis-Bik's collaboration.

Top Co-Authors

Avatar

E.M.W. Eekhoff

VU University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Mark H. H. Kramer

VU University Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michaela Diamant

VU University Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jacqueline M. Dekker

VU University Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Giel Nijpels

VU University Medical Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge