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Effect of TCF7L2 polymorphism on pancreatic hormones after exenatide in type 2 diabetes



Glucagon-like peptide 1 (GLP-1) stimulates insulin secretion and reduces blood glucose in type 2 diabetes mellitus (T2DM). TCF7L2 rs7903146 polymorphism has been associated with decreased insulin secretion, reduced GLP-1 action, and possible impaired peripheral insulin sensitivity.


To evaluate the postprandial pancreatic hormone response in patients with T2DM carriers of the TCF7L2 variant rs7903146 (CT/TT) compared with noncarriers of this variant (CC) after treatment with the GLP-1 agonist exenatide.


Intervention study. Patients with T2DM (n = 162) were genotyped for the TCF7L2 rs7903146 single nucleotide polymorphism (SNP). Individuals with CT/TT and CC genotypes were compared regarding basal serum levels of glucose, glycosylated hemoglobin A1C (HbA1c), HDL, uric acid, insulin, and C-peptide. A subset of 56 individuals was evaluated during a 500-calorie mixed-meal test with measurements of glucose, insulin, proinsulin, C-peptide and glucagon before and after treatment with exenatide for 8 weeks.


Patients with genotypes CC and CT/TT presented similar glucose area under the curve (AUC) 0–180 min before treatment and a similar decrease after treatment (p < 0.001). Before exenatide, insulin levels at 30–120 min were higher in CT/TT versus CC subjects (p < 0.05). After treatment with exenatide, only CT/TT individuals demonstrated insulin reduction at 30–180 min during the meal test (p < 0.05). Patients with the CC genotype presented no differences in insulin concentrations before and after treatment. The areas under the glucagon curve between 0 and 180 min were similar before treatment and reduced after treatment in both groups (p < 0.001).


The presence of the TCF7L2 rs7903146 T allele in patients with T2DM was associated with increased secretion of insulin response to a mixed-meal test. Furthermore, after treatment with exenatide, only the carriers of the T allele showed significantly decreased postprandial plasma insulin peak levels comparing with non carriers.


Modern genetic analysis is unquestionably one of the most powerful research tools in complex diseases such as diabetes. The canonical signaling pathway plays an important role in the modulation of cell proliferation and survival [25]. In the intestine, this pathway regulates the expression of the proglucagon gene and consequent secretion of glucagon-like peptide 1 (GLP-1) by intestinal endocrine cells in response to meals [11]. GLP-1 is a potent stimulant of insulin secretion and reduces blood glucose levels [7] and GLP-1 administration has also been shown to improve defects in glucose uptake independent of insulin [18]. According to some authors, GLP-1 presents insulin-independent effects in reducing hepatic glucose production [19, 20].

Potential mechanisms by which TCF7L2 variants influence T2DM include defective insulin secretion [1, 16, 27], deficient insulin processing [33], and decreased sensitivity to GLP-1 [17]. In tissues that are a target for insulin action, GLP-1 is believed to interact with its receptor on the cell membrane and stimulate the synthesis and activation of proteins participating in the intracellular signaling cascade for insulin [2, 19]. Thus, the presence of polymorphic variants of TCF7L2 would determine a lower GLP-1 effect on target cells, which could also be involved in the regulation of peripheral insulin sensitivity [21]. In addiction, it is questionable whether the presence of these variants would determine a functional defect in GLP-1 signaling in beta cells, as well as in liver and skeletal muscle tissues.

Considering these observations, we propose the possibility that increasing incretin levels through pharmacotherapy might overcome incretin resistance due to genetic variation in TCF7L2. Therefore, the objective of the present study was to evaluate whether individuals with T2DM carriers and noncarriers of the polymorphic variant rs7903146 of the TCF7L2 gene present different postprandial pancreatic hormonal responses after treatment with exenatide.

Materials and methods

This study was carried out according to the ethical principles of the Declaration of Helsinki. Written consent was obtained from all patients before the start of the procedures. The study protocol was approved by the Ethics Committee for Analysis of Research Projects of the Clinical Hospital at the School of Medicine of the University of São Paulo (HC-FMUSP) (CAPPesq0261/09). Exenatide (Byetta, Eli Lilly do Brasil Ltda., São Paulo, SP, Brazil) was acquired with financial resources from the project.

We selected 182 individuals with T2DM with disease duration < 10 years, body mass index (BMI) between 25 and 35 kg/m2, aged 45 to 65 years, and nonusers of insulin, DPP-4 inhibitors, or GLP-1 mimetics. The participants were recruited from the endocrinology outpatient clinic at HC-FMUSP and from campaigns celebrating the World Diabetes Day. After the exclusion of patients with nephropathy, liver disease, and severe heart disease, 162 patients remained in the study. Weight, height, and neck and thigh circumferences were measured in all patients, and BMI and neck/thigh ratios were calculated from the measurements. Peripheral blood was collected for DNA extraction and biochemical and hormonal evaluations. All patients were genotyped for analysis of the presence of the polymorphic variant rs7903146 of the TCF7L2 gene.

Based on genotyping results, we recruited 56 patients from the initial cohort for a 500-kcal mixed meal test and treatment with exenatide. The patients in this subcohort were paired in regards to duration of diabetes and BMI and were further subdivided into groups CC (n = 26) and CT/TT (n = 30). Subsequent analysis showed that this subcohort was representative of the overall cohort.

Evaluation of biochemical, hormonal, and inflammatory factors

We used a specific enzymatic-colorimetric method (glucose oxidase–peroxidase, GOD-ANA, Labtest, Lagoa Santa, MG, Brazil) for measurement of plasma glucose. Serum insulin and proinsulin levels were determined by liquid phase and double antibody radioimmunoassay (HI-14K and HPI-15K, respectively, EMD Millipore, Billerica, MA, USA). The samples were centrifuged under refrigeration to preserve activity and then stored at − 20 °C.

Blood samples for measurement of glucagon levels were collected in Vacutainer® tubes (BD, São Paulo, SP, Brazil) containing EDTA and aprotinin (A6279, Sigma-Aldrich, St. Louis, MO, USA) as a protease inhibitor and maintained on ice until final processing. The plasma aliquots were stored at − 20 °C until measurement by liquid phase and double antibody radioimmunoassay (GL-32K, EMD Millipore, Billerica, MA, USA). Serum C-peptide was measured with a radioimmunoassay kit (HCP-20K, EMD Millipore, Billerica, MA, USA).

Laboratory analysis performed before and after exenatide treatment included measurement of C-reactive protein (CRP) and tumor necrosis factor alpha (TNF-α), considering that these cytokines present proinflammatory actions that may interfere with insulin resistance. Measurement of CRP was performed by the ELISA method (DCRP00, human C-reactive protein Quantikine ELISA kit, R&D Systems, Bio-Techne Corporation, Minneapolis, MN, USA) and measurement of TNF-α was done by specific and high sensitivity ELISA (HSTA00D, Human TNF-alpha Quantikine HS ELISA, R&D Systems, Bio-Techne Corporation, Minneapolis, MN, USA).

Serum levels of uric acid and HDL-cholesterol were measured using commercial kits. Serum levels of glycosylated hemoglobin (HbA1c) were determined by high-performance liquid chromatography (HPLC).

Peripheral blood DNA extraction and TCF7L2 genotyping

For analysis of genomic DNA, 10 to 12 mL of peripheral blood were collected in three 4 mL Vacutainer® tubes (BD, São Paulo, SP, Brazil) containing 7.2 mg of EDTA and evaluated by salting out. Genotyping of the rs7903146 polymorphism variant of the TCF7L2 gene was performed by real-time polymerase chain reaction (RT-PCR) using TaqMan fluorogenic 5′ nuclease assay (Applied Biosystems, Foster City, CA, USA). The final predicted volume of RT-PCR was 10 μL, with 5 μL of genomic DNA at 10 ng/μL and 5 μL of TaqMan PCR MasterMix with primers at the ratio of 9:1, as recommended by the manufacturer (assay ID: C29347861_10 for rs7903146). The equipment used was StepOnePlus (Applied Biosystems, Foster City, CA, USA).

500-kcal meal test and treatment with exenatide

After fasting for 12 h, a subgroup of 56 patients received a 500-kcal breakfast comprising 50% carbohydrates, 30% proteins, and 20% fat. Blood samples were collected from a forearm vein at 0, 15, 30, 45, 60, 90, 120, 180, and 240 min. Glucose, insulin, proinsulin, C-peptide, and glucagon levels were measured at all time points. TNF-α, CRP, and HbA1c were also measured at 0 min.

The participants in the meal test arm of the study received treatment with exenatide for 8 weeks at a dose of 5 μg twice a day at weeks 1 to 4 and 10 μg twice daily at weeks 5 to 8. On the day of the post-treatment meal test, the patients received a final 10 μg dose of exenatide 30 min before the meal. We also analyzed the participants’ weight, HbA1c, CRP, and TNF-α before and after the exenatide treatment and calculated their insulinogenic index (IGI 30), and homeostasis model assessment (HOMA) index. The IGI 30 evaluates the beta cell function using the first phase of the postprandial insulin response, which in this study was defined as the rate of plasma insulin increase 30 min after the meal: IGI 30 = (I30 − I0)/(G30 − G0). The HOMA index was calculated from plasma glucose and C-peptide levels and was used to estimated beta cell function (%B), insulin sensitivity (%S), and insulin resistance before and after treatment with exenatide.

Statistical analysis

Genotypes are described as absolute and relative frequencies. The analysis of the Hardy–Weinberg equilibrium for genotype distribution was estimated by the Chi square test. The nominal characteristics of the patients were described according to each genotype and the presence of association among the genotypes, and the characteristics were also verified with the Chi square test or, when the samples were insufficient, with the likelihood ratio test.

Results of laboratory tests and anthropometric characteristics are described according to each genotype and were compared among the genotypes using analysis of variance (ANOVA) or Kruskal–Wallis test. For the SNP rs7903146, we evaluated the CC, CT, and TT genotypes separately and then the CT and TT genotypes as a group and described the results across the categories using Student’s t test or Mann–Whitney test.

The analyses of the meal tests were described according to groups (CC and CT/TT), time points (pretreatment and post-treatment), and moment of evaluation in the curve (test times) using summary measures, followed by comparisons between groups, time points, and moments with three-factor ANOVA with repeated measures for moment and time point factors. A symmetrical component matrix was applied in the evaluation time points and moments. For measurements presenting statistically significant differences, we applied Bonferroni multiple comparisons or contrasts to verify among which groups, time points, or moments the differences occurred and to estimate them. We compared the groups and moments at each time point in the follow-up curve using Scheffé contrasts for multiple comparisons. For the areas under the curves (AUCs) and IGI 30, we used two-way ANOVA and repeated measures between the moments of evaluation, with a symmetrical component matrix between the moments, followed by Bonferroni multiple comparison.

Weight, HbA1c, CRP, and TNF-α before and after treatment were compared according to the genotypes (CC and CT/TT), using generalized estimating equations (GEE), with weight and HbA1c using normal distribution and binding function identity, whereas, for CRP and TNF-α, gamma distribution and identity link function were considered. All analyses were followed by Bonferroni multiple comparisons to identify between which genotypes or moments the differences in the parameters occurred.

The AUCs were generated with GraphPad Prism (GraphPad Software Inc., San Diego, CA, USA) and the other statistical analyses were performed with IBM SPSS, version 17 (IBM Corp, Armonk, NY, USA) and SAS, version 9.1 (SAS Institute Inc., Cary, NC, USA). Mean results and respective standard errors are illustrated with graphs. The tests were performed with a significance level of 5%.


Baseline clinical and laboratory variables

The mean age of the overall cohort was 57.1 ± 7.3 years. The prevalences of the CC, CT, and TT TCF7L2 genotypes were 41.4%, 47.5%, and 11.1%, respectively. Both groups did not differ in regards to diabetes duration, with an overall mean duration of 5.6 ± 3.6 years (p > 0.05). The frequency of genotypes did not differ in regards to sex or race (p > 0.05). The presence of the T allele compared with its absence was associated with a diagnosis of T2DM at a younger age (p = 0.047), lower neck/thigh ratio (p = 0.008), and a trend toward a smaller neck circumference (p = 0.053) (Table 1).

Table 1 Baseline characteristics of the overall cohort (n = 162)

At baseline, we observed differences in mean C-peptide values among the rs7903146 variants (p = 0.040), which were significantly higher in CC than CT (p = 0.029) and TT (p = 0.037) patients. Table 1 also shows that carriers of the T allele had lower mean values of uric acid (p = 0.017) and higher mean values of HDL-cholesterol (p = 0.041) than noncarriers of this allele. In the evaluation of the HOMA model using baseline glucose and C-peptide concentrations, T allele carriers presented greater insulin sensitivity (%S) (p = 0.021) and lower insulin resistance (p = 0.020) than noncarriers of this allele.

Responses to the meal test before and after exenatide

Table 2 shows the results of laboratory parameters measured during the meal test before and 8 weeks after treatment with exenatide.

Table 2 Results of weight and laboratory parameters of C-Reactive Protein, tumor necrosis factor alpha, and glycosylated hemoglobin measured before and 8 weeks after treatment with exenatide in a subcohort of 56 patients with type 2 diabetes mellitus, subdivided according to TCF7L2 genotype

We evaluated 56 subjects prior to exenatide treatment (26 patients with the CC variant and 30 with the CT/TT variants) and 46 subjects after the exenatide treatment (21 CC and 25 CT/TT). Ten patients discontinued treatment, four of whom did so due to private reasons and six due to adverse effects of exenatide, mostly nausea, vomiting, and abdominal pain. Of the six patients who discontinued treatment due to adverse effects, there were three each with CC and TT genotypes, suggesting no imbalance of genotype on tolerability among these individuals.

Plasma glucose curves

Plasma glucose values were similar in patients with CC and CT/TT genotypes during the meal tests before and after exenatide treatment. Both groups also presented a significant reduction (p = 0.003) in plasma glucose values after exenatide compared with values obtained before treatment. At 30–180 min, the mean glucose levels before treatment were higher than those after treatment in both groups (p < 0.05). Both groups presented similar areas under the glucose curve between 0 and 180 min before treatment and a similar decrease after treatment (p < 0.001) (Fig. 1a).

Fig. 1
figure 1

Plasma concentrations of a glucose, b insulin, c glucagon, d proinsulin, and e C-peptide levels during the meal test before and after treatment with exenatide for 8 weeks in patients with type 2 diabetes mellitus subdivided according to TCF7L2 genotype


Before exenatide, insulin levels at 30–120 min were higher in CT/TT subjects compared with CC ones (p < 0.05). After treatment with exenatide, only CT/TT individuals demonstrated a significant insulin reduction at 30–180 min during the meal test compared with CC subjects (p < 0.05). Patients with the CC genotype presented no differences in insulin concentrations before and after treatment. The area under the insulin curve between 0 and 180 min was similar between groups before exenatide but decreased only in the CT/TT group after exenatide (p < 0.001) (Fig. 1b).


Glucagon concentrations were similar in patients with CC and CT/TT genotypes before treatment and decreased at 15–120 min after treatment in both groups (p < 0.001). The areas under the glucagon curve between 0 and 180 min were similar before treatment and reduced after treatment in both groups (p < 0.001) (Fig. 1c).


Proinsulin levels at 45–240 min (p < 0.05) were higher in CT/TT subjects before exenatide and reduced only in this group after exenatide (p < 0.001). Although patients with the CC genotype also showed a reduction in proinsulin levels after treatment with exenatide, the reduction was lower than that observed in the CT/TT group. The area under the proinsulin curve was higher in the CT/TT group prior to treatment and decreased only in this group after treatment (p < 0.001) (Fig. 1d).


The area under the C-peptide curve between 0 and 180 min was not significantly different between both genotype groups before exenatide and only decreased significantly after treatment in CT/TT (p < 0.001) (Fig. 1e).

Weight, C-reactive protein, tumor necrosis factor alpha, and glycosylated hemoglobin

Patients with CC and CT/TT genotypes showed significant reductions in weight after treatment with exenatide (both p < 0.001), with mean decreases at 8 weeks of 2.16 ± 2.2 kg in CC patients and 2.49 ± 6.8 kg in CT/TT patients (p for comparison between groups = nonsignificant). Both groups showed comparable serum CRP levels before and after treatment. TNF-α concentrations also decreased after treatment with exenatide in both groups (p < 0.001); however, the levels were higher in the CT/TT group both before and after treatment, with a mean difference of 0.72 pg/mL in relation to the CC group (p < 0.001). Both groups had similar serum HbA1c levels before treatment and similar significant reductions after treatment (mean difference in both groups before and after treatment 0.24%, 95% confidence interval 0.02–0.46%, p = 0.036) (Table 2).

Insulin secretion index (IGI 30) and homeostatic model assessment (HOMA Oxford)

There were no differences in IGI 30 between patients with CC and CT/TT genotypes before (p > 0.05) or after treatment (p > 0.05). In regards to HOMA, we observed that the estimated beta cell function (%B) was similar in both groups, but there was a trend toward lower values in carriers of the T allele (CT/TT patients) (p = 0.053). The estimated beta cell function (%B) increased after treatment in both groups (mean 21.3%, p = 0.021). Insulin resistance differed between the genotype groups (p = 0.042) before and after treatment, and was on average 0.87 lower in carriers of the T allele.


The results of our study show that the presence of the TCF7L2 rs7903146 T allele in individuals with T2DM was associated with increased secretion of insulin, proinsulin, and C-peptide in response to a meal when compared with noncarriers of this allele, and no differences in serum glucagon or glucose concentrations. After treatment with exenatide, those carriers of the T allele showed a significantly decreased postprandial plasma insulin and C-peptide peak levels comparing with noncarriers. Both groups had a reduction in the proinsulin peak; however, the reduction was greater in patients with the T allele.

Impaired insulin secretion is recognized as one of the diabetogenic effects of TCF7L2 [8, 34], and a negative effect on insulin sensitivity of the TCF7L2 rs7903146 T allele has been demonstrated in previous studies [5, 15, 32]. In this population of subjects with T2DM, we observed that the group of T allele carriers had lower fasting plasma C-peptide concentrations than noncarriers of this allele, while all patients presented similar plasma glucose and insulin concentrations. However, we observed a higher elevation in postprandial insulin and proinsulin concentrations in patients with the T allele, a fact that differed from previous studies performed in nondiabetic subjects during an oral glucose tolerance test (OGTT) [11, 26].

In the results obtained with the HOMA model, we observed that carriers of the T allele compared with noncarriers of this allele had higher %S, lower IR, and a trend toward a decreased beta cell function in T allele carriers before treatment. We must emphasize that the HOMA model is based on baseline laboratory values and, in this study, we observed that the greatest differences between the genotypes were expressed during the meal test. In addition, noncarriers of the T allele showed some phenotypic characteristics associated with insulin resistance, such as greater neck/thigh ratio, lower HDL-cholesterol plasma concentrations, and higher uric acid concentrations.

After treatment with exenatide, both the CC and CT/TT groups showed reductions in serum levels of postprandial glucose. However, serum insulin concentrations, which before exenatide were higher during the meal test in carriers of the T allele, only reduced significantly after treatment in this group. Some studies have suggested that carriers of the T allele may present reduced insulin sensitivity combined with beta cell failure to compensate fully for the degree of resistance [4, 5, 15]. The lower elevations in postprandial insulin levels in T allele carriers observed in our study, associated with comparable blood glucose and similar weight reduction after treatment, suggest that treatment with GLP-1 mimetic promotes secretion of a more efficient insulin, improves insulin sensitivity, or even determines better uptake of glucose mediated by GLP-1 in CT/TT subjects compared with CC ones. This suggests that carriers of the T allele are in some aspects more responsive to treatment with GLP-1 agonists. On the other hand, treatment with exenatide was also effective in reducing postprandial serum glucagon concentrations independent of genotype, showing that the alpha cell response to GLP-1 is not affected by the TCF7L2 genotype [30]. A recent study has shown that along with reduced insulin secretion, decreased glucagon suppression may contribute to the predisposition to diabetes conferred by TCF7L2 [29]. We believe that the reduction in hepatic glucose production due to decreased glucagon may not have influenced the observed response. Furthermore, it is known that response to exenatide treatment may be related to other factors that improve insulin sensitivity, such as changes in inflammatory cytokines [3, 6]. In our study, we observed a reduction in TNF-α concentrations after treatment, regardless of the patient’s genotype. But T allele carriers maintained higher values; both before and after the use of the medication. Therefore, the antiinflammatory effect associated with exenatide may have contributed to the response observed.

Proinsulin concentrations were higher in carriers of T allele before treatment and showed a significant reduction in after treatment. The elevation in proinsulin is probably associated with a defect in beta cell processing or insulin resistance [22, 23, 31]. The greater reduction in proinsulin observed in the CT/TT group after treatment corroborates the hypothesis that the use of exenatide in these individuals may play a more important role in the functional response of the beta cell in patients with the T allele when compared with those without this allele. Thus, the results of the present study provide further evidence that the factors linking TCF7L2 gene polymorphism to T2DM may lie in two of the major mechanisms of the pathophysiology of disease, namely, defects in GLP-1 mediated insulin secretion at a pancreatic level, and GLP-1 peripheral action. Therefore, the lower elevation in serum insulin and proinsulin levels observed in T allele carriers after exenatide may have occurred in part due to known extra-pancreatic effects of GLP-1 in the liver, skeletal muscle, and adipose tissue, improving the uptake of glucose by these tissues.

Although it is unclear whether GLP-1 receptors are expressed in peripheral tissues sensitive to insulin, some studies have suggested that treatment with GLP-1 agonists is associated with improved insulin sensitivity [22, 35]. Exenatide is believed to stimulate glucose transport and metabolism in the liver of rats, skeletal muscle, and adipose tissue in an insulin-independent manner (Gonzalez et al. 2005). In mice muscle, exenatide, like GLP-1, stimulates the in vivo expression of glucose transporters [2]. Therefore, the glucoregulatory GLP-1-like effects of exenatide are believed to also occur through its interaction with GLP-1 receptors in liver and muscle [2, 19], which appear to be structurally and/or functionally different from those in the pancreas. There is evidence that the phenotypic characteristics of T allele carriers, which include decreased glucose-stimulated insulin secretion and decreased hepatic insulin sensitivity, are similar to those observed in GLP-1 receptor knockout mice [14]. GLP-1 mimetic may contribute to a reduction in postprandial glucose by increasing muscle utilization and/or decreasing the hepatic production of glucose [9]. These characteristics are evident in our findings, which suggest that the action of the GLP-1 agonist, especially in T allele carriers, promoted a lower elevation in postprandial plasma concentrations of proinsulin, insulin, and C-peptide.

GLP-1 has also been shown to inhibit the secretion of glucagon, as well as the paracrine and inhibitory effects of insulin on glucagon secretion by the pancreatic alpha cell [13]. Other unknown mechanisms may regulate the function of these cells. Also considering that the postprandial hypoglycemic effect of exenatide has been explained by glucagon suppression and delayed gastric emptying [12], the effect of reducing glucagon after treatment was well demonstrated in the present study, and no differences according to genotypes were found regarding this variable.

We would like to point out some limitations of our study. First, owing to its design, the study did not include a placebo group; hence, the patients were not randomized to placebo or treatment arms. A control group was also not included; therefore, some comparisons were restricted to the results obtained before and after exenatide treatment. A second limitation was the lack of measurement of exenatide levels to assess patients’ compliance.


In conclusion, the present study analyzed the response to exenatide according to rs7903146 polymorphism in patients with T2DM and provides additional insight on. Our findings suggest an improved effect of exenatide in carriers of this variant of the TCF7L2 gene.


  1. Ahrén B. Incretins and islet function. Curr Opin Endocrinol Diabetes Obes. 2006;13:154–61.

    Article  Google Scholar 

  2. Arnes L, Moreno P, Nuche-Berenguer B, Valverde I, Villanueva-Penacarrillo ML. Effect of exendin-4 treatment upon glucose uptake parameters in rat liver and muscle, in normal and type 2 diabetic state. Regul Pept. 2009;153:88–92.

    Article  CAS  Google Scholar 

  3. Chaudhuri A, Ghanim H, Vora M, Sia CL, Korzeniewski K, Dhindsa S, Makdissi A, Dandona P. Exenatide exerts a potent antiinflammatory effect. J Clin Endocrinol Metab. 2012;97:198–207.

    Article  CAS  Google Scholar 

  4. Cropano C, Santoro M, Groop L, Dalla Man C, Cobelli C, Galderisi A, Caprio S. The rs7903146 variant in the TCF7L2 gene increases the risk of prediabetes/type 2 diabetes in obese adolescents by impairing β-cell function and hepatic insulin sensitivity. Diabetes Care. 2017;40(8):1082–9.

    Article  CAS  Google Scholar 

  5. Damcott CM, Pollin TI, Reinhart LJ, Ott SH, Shen H, Silver KD, Mitchell BD, Shuldiner AR. Polymorphisms in the transcription factor 7-like 2 (TCF7L2) gene are associated with type 2 diabetes in the Amish: replication and evidence for a role in both insulin secretion and insulin resistance. Diabetes. 2006;55:2654–9.

    Article  CAS  Google Scholar 

  6. Dardevet D, Moore MC, Neal D, DiCostanzo CA, Snead W, Cherrington AD. Insulin-independent effects of GLP-1 on canine liver glucose metabolism: duration of infusion and involvement of hepatoportal region. Am J Physiol Endocrinol Metab. 2004;287:E75–81.

    Article  CAS  Google Scholar 

  7. Fehmann HC, Göke R, Göke B. Cell and molecular biology of the incretin hormones glucagon-like peptide-I and glucose-dependent insulin releasing polypeptide. Endocr Rev. 1995;16:390–410.

    Article  CAS  Google Scholar 

  8. Florez JC. Newly identified loci highlight beta cell dysfunction as a key cause of type 2 diabetes: where are the insulin resistance genes? Diabetologia. 2008;51:1100–10.

    Article  CAS  Google Scholar 

  9. Gedulin BR, Nikoulina SE, Smith PA, Gedulin G, Nielsen LL, Baron AD, Parkes DG, Young AA. Exenatide (exendin-4) improves insulin sensitivity and {beta}-cell mass in insulin-resistant obese fa/fa Zucker rats independent of glycemia and body weight. Endocrinology. 2005;146:2069–76.

    Article  CAS  Google Scholar 

  10. Gloyn AL, Braun M, Rorsman P. Type 2 diabetes susceptibility gene TCF7L2 and its role in beta-cell function. Diabetes. 2009;58:800–2.

    Article  CAS  Google Scholar 

  11. Hattersley AT. Prime suspect: the TCF7L2 gene and type 2 diabetes risk. J Clin Invest. 2007;117:2077–9.

    Article  CAS  Google Scholar 

  12. Ionut V, Zheng D, Stefanovski D, Bergman RN. Exenatide can reduce glucose independent of islet hormones or gastric emptying. Am J Physiol Endocrinol Metab. 2008;295:E269–77.

    Article  CAS  Google Scholar 

  13. Kawamori D, Kurpad AJ, Hu J, Liew CW, Shih JL, Ford EL, Herrera PL, Polonsky KS, McGuinness OP, Kulkarni RN. Insulin signaling in alpha cells modulates glucagon secretion in vivo. Cell Metab. 2009;9:350–61.

    Article  CAS  Google Scholar 

  14. Knauf C, Cani PD, Perrin C, Iglesias MA, Maury JF, Bernard E, Benhamed F, Gremeaux T, Drucker DJ, Kahn CR, et al. Brain glucagon-like peptide-1 increases insulin secretion and muscle insulin resistance to favor hepatic glycogen storage. J Clin Invest. 2005;115:3554–63.

    Article  CAS  Google Scholar 

  15. Liu PH, Chang YC, Jiang YD, Chen WJ, Chang TJ, Kuo SS, Lee KC, Hsiao PC, Chiu KC, Chuang LM. Genetic variants of TCF7L2 are associated with insulin resistance and related metabolic phenotypes in Taiwanese adolescents and Caucasian young adults. J Clin Endocrinol Metab. 2009;94:3575–82.

    Article  CAS  Google Scholar 

  16. Lyssenko V, Lupi R, Marchetti P, Del Guerra S, Orho-Melander M, Almgren P, Sjogren M, Ling C, Eriksson KF, Lethagen AL, et al. Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes. J Clin Invest. 2007;117:2155–63.

    Article  CAS  Google Scholar 

  17. Maiese K, Li F, Chong ZZ, Shang YC. The Wnt signaling pathway: aging gracefully as a protectionist? Pharmacol Ther. 2008;118:58–81.

    Article  CAS  Google Scholar 

  18. Meneilly GS, McIntosh CH, Pederson RA, Habener JF, Gingerich R, Egan JM, Finegood DT, Elahi D. Effect of glucagon-like peptide 1 on non-insulin-mediated glucose uptake in the elderly patient with diabetes. Diabetes Care. 2001;24:1951–6.

    Article  CAS  Google Scholar 

  19. Moreno P, Nuche-Berenguer B, Gutierrez-Rojas I, Acitores A, Sancho V, Valverde I, Gonzalez N, Villanueva-Penacarrillo ML. Normalizing action of exendin-4 and GLP-1 in the glucose metabolism of extrapancreatic tissues in insulin-resistant and type 2 diabetic states. J Mol Endocrinol. 2012;48:37–47.

    Article  CAS  Google Scholar 

  20. Nauck MA, Vardarli I, Deacon CF, Holst JJ, Meier JJ. Secretion of glucagon- like peptide-1 (GLP-1) in type 2 diabetes: what is up, what is down? Diabetologia. 2011;54:10–8.

    Article  CAS  Google Scholar 

  21. Nobrega MA. TCF7L2 and glucose metabolism: time to look beyond the pancreas. Diabetes. 2013;62(3):706–8.

    Article  CAS  Google Scholar 

  22. Parlevliet ET, de van Leeuw Weenen JE, Romijn JA, Pijl H. GLP-1 treatment reduces endogenous insulin resistance via activation of central GLP-1 receptors in mice fed a high-fat diet. Am J Physiol Endocrinol Metab. 2010;299:E318–24.

    Article  CAS  Google Scholar 

  23. Pfutzner A, Kunt T, Hohberg C, Mondok A, Pahler S, Konrad T, Lubben G, Forst T. Fasting intact proinsulin is a highly specific predictor of insulin resistance in type 2 diabetes. Diabetes Care. 2004;27:682–7.

    Article  Google Scholar 

  24. Prigeon RL, Quddusi S, Paty B, D’Alessio DA. Suppression of glucose production by GLP-1 independent of islet hormones: a novel extrapancreatic effect. Am J Physiol Endocrinol Metab. 2003;285:E701–7.

    Article  CAS  Google Scholar 

  25. Reya T, Clevers H. Wnt signalling in stem cells and cancer. Nature. 2005;434:843–50.

    Article  CAS  Google Scholar 

  26. Saxena R, Gianniny L, Burtt NP, Lyssenko V, Giuducci C, Sjogren M, Florez JC, Almgren P, Isomaa B, Orho-Melander M, et al. Common single nucleotide polymorphisms in TCF7L2 are reproducibly associated with type 2 diabetes and reduce the insulin response to glucose in nondiabetic individuals. Diabetes. 2006;55:2890–5.

    Article  CAS  Google Scholar 

  27. Schafer SA, Tschritter O, Machicao F, Thamer C, Stefan N, Gallwitz B, Holst JJ, Dekker JM, t Hart LM, v G, et al. Impaired glucagon-like peptide-1-induced insulin secretion in carriers of transcription factor 7-like 2 (TCF7L2) gene polymorphisms. Diabetologia. 2007;50:2443–50.

    Article  CAS  Google Scholar 

  28. Schinner S, Willenberg HS, Schott M, Scherbaum WA. Pathophysiological aspects of Wnt-signaling in endocrine disease. Eur J Endocrinol. 2009;160:731–7.

    Article  CAS  Google Scholar 

  29. Shah M, Varghese RT, Miles JM, Piccinini F, Dalla Man C, Cobelli C, Bailey KR, Rizza RA, Vella A. TCF7L2 genotype and alpha-cell function in humans without diabetes. Diabetes. 2016;65:371–80.

    Article  CAS  Google Scholar 

  30. Smushkin G, Sathananthan M, Sathananthan A, Dalla Man C, Micheletto F, Zinsmeister AR, Cobelli C, Vella A. Diabetes-associated common genetic variation and its association with GLP-1 concentrations and response to exogenous GLP-1. Diabetes. 2012;61:1082–9.

    Article  CAS  Google Scholar 

  31. Strawbridge RJ, Dupuis J, Prokopenko I, Barker A, Ahlqvist E, Rybin D, Petrie JR, Travers ME, Bouatia-Naji N, Dimas AS, et al. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes. 2011;60:2624–34.

    Article  CAS  Google Scholar 

  32. Tong Y, Lin Y, Zhang Y, Yang J, Liu H, Zhang B. Association between TCF7L2 gene polymorphisms and susceptibility to type 2 diabetes mellitus: a large Human Genome Epidemiology (HuGE) review and meta-analysis. BMC Med Genet. 2009;10:15.

    Article  Google Scholar 

  33. Villareal DT, Robertson H, Bell GI, Patterson BW, Tran H, Wice B, Polonsky KS. TCF7L2 variant rs7903146 affects the risk of type 2 diabetes by modulating incretin action. Diabetes. 2010;59:479–85.

    Article  CAS  Google Scholar 

  34. Wegner L, Hussain MS, Pilgaard K, Hansen T, Pedersen O, Vaag A, Poulsen P. Impact of TCF7L2 rs7903146 on insulin secretion and action in young and elderly Danish twins. J Clin Endocrinol Metab. 2008;93:4013–9.

    Article  CAS  Google Scholar 

  35. Zander M, Madsbad S, Madsen JL, Holst JJ. Effect of 6-week course of glucagon-like peptide 1 on glycaemic control, insulin sensitivity, and beta-cell function in type 2 diabetes: a parallel-group study. Lancet. 2002;359:824–30.

    Article  CAS  Google Scholar 

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Authors’ contributions

MCF, MERS, SA and RFS designed the study, MCF, MERS, RTF and RFS participated in the analysis of the plasma metabolites, performed the statistical analysis, and directly participated in the execution of the study. MCF and RFS wrote and edited the manuscript. MCF and MCAM were responsible for the treatment of the patients with type 2 diabetes; recruitment, follow-up, and characterization of the patients; drafting the written consent for participation and obtaining the signed consent form from the participants; and providing samples and anthropometrical and clinical characteristics. RFS and MCF are the guarantors of this work and, as such, had full access to all data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors read and approved the final manuscript.


The authors would like to thank State of São Paulo Research Foundation [Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP, Brazil – N 2010/17943-7], the National Institutes of Health [NHLBI, Grant, 2R01HL33881], and the Office of Research and Development [Medical Service, Department of Veterans Affairs SA and WE Executive Committee] for the support granted through the Women in Endocrinology Young Investigator Award to Mari Cassol Ferreira, MD, Ph.D. for the presentation of the abstract of this study at the Annual Meeting of the Endocrine Society in 2013.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets during and/or analysed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the Ethics Committee of the HC-FMUSP (CAPPesq0261/09) at Universidade de São Paulo and was performed according to the Declaration of Helsinki.

All subjects gave written informed consent to participate.


This work was supported by São Paulo Research Foundation (Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP, Brazil – N 2010/17943-7), the National Institutes of Health (NHLBI, Grant, 2R01HL33881), and the Office of Research and Development (Medical Service, Department of Veterans Affairs SA and WE Executive Committee).

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Correspondence to Mari Cassol Ferreira.

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Ferreira, M.C., da Silva, M.E.R., Fukui, R.T. et al. Effect of TCF7L2 polymorphism on pancreatic hormones after exenatide in type 2 diabetes. Diabetol Metab Syndr 11, 10 (2019).

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