Polymorphisms of GLP-1 Receptor Gene and Response to GLP-1 Analogue in Patients with Poorly Controlled Type 2 Diabetes

Lin, Chia-Hung; Lee, Yun-Shien; Huang, Yu-Yao; Hsieh, Sheng-Hwu; Chen, Zih-Syuan; Tsai, Chi-Neu

doi:https://doi.org/10.1155/2015/176949

Journal of Diabetes Research

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Abstract Introduction Materials and Methods Results Discussion Conclusion Supplementary Materials References Copyright Related Articles

Clinical Study | Open Access

Volume 2015 | Article ID 176949 | https://doi.org/10.1155/2015/176949

Polymorphisms of GLP-1 Receptor Gene and Response to GLP-1 Analogue in Patients with Poorly Controlled Type 2 Diabetes

Chia-Hung Lin,^1,2Yun-Shien Lee,^3,4Yu-Yao Huang,¹Sheng-Hwu Hsieh,¹Zih-Syuan Chen,²and Chi-Neu Tsai²

Academic Editor: Daisuke Koya

Received26 Sept 2014

Revised22 Dec 2014

Accepted05 Jan 2015

Published15 Feb 2015

Abstract

Aim. The relationship between genetic polymorphisms of the glucagon-like peptide-1 (GLP-1) receptor (GLP1R) gene and unresponsiveness to GLP-1 analogue treatment in patients with poorly controlled type 2 diabetes mellitus (DM) is unclear. Methods. Thirty-six patients with poorly controlled type 2 DM were enrolled and they received six days of continuous subcutaneous insulin infusion for this study. After the normalization of blood glucose in the first 3 days, the patients then received a combination therapy with injections of the GLP-1 analogue, exenatide, for another 3 days. All 13 exons and intron-exon boundaries of the GLP1R gene were amplified to investigate the association. Results. The short tandem repeat at 8GA/7GA (rs5875654) had complete linkage disequilibrium (LD, with ) with single nucleotide polymorphism (SNP) rs761386. Quantitative trait loci analysis of GLP1R gene variation with clinical response of GLP1 analogue showed the missense rs3765467 and rs761386 significantly associated with changes in the standard deviation of plasma glucose () ( and 0.019, resp.). The reported values became insignificant after multiple testing adjustments. Conclusion. The variable response to the GLP-1 analogue was not statistically correlated with polymorphisms of the GLP1R gene in patients with poorly controlled type 2 DM.

1. Introduction

Glucagon-like peptide-1 (GLP-1) is secreted from the enteroendocrine L cells of the intestinal mucosa and is released into the portal circulation in response to meal ingestion [1] through posttranslational processing of proglucagon by prohormone convertase-1 in its secretory cells [2]. GLP-1 enhances insulin secretion and inhibits glucagon release in a glucose-dependent manner, prompting the development of GLP-1-based therapies for the treatment of diabetes [3]. GLP-1-based diabetes therapies affect glucose control through several mechanisms, including slowed gastric emptying, regulation of postprandial glucagon, reduction of food intake, and enhancement of glucose-dependent insulin secretion without the risk of hypoglycemia [4]. However, the clinical responsiveness to GLP-1 analogues varies among patients with type 2 diabetes mellitus [5], which suggests that genetic factors may be crucial in the pharmacological responsiveness of these patients. In order to establish the correct treatment protocols in clinical practice and taking into consideration the high cost of these new drugs, it is important to clarify this critical issue in patients with type 2 diabetes mellitus.

Among genetic variants, the diabetes-associated variants in TCF7L2 (rs7903146) and WFS1 (rs10010131) have been shown to affect the response to exogenous GLP-1, while variants in KCNQ1 (rs151290, rs2237892, and rs2237895) have been reported to alter endogenous GLP-1 secretion [6–8]. However, a validation study showed no effect regarding variants in TCF7L2, KCNQ1, and WFS1 on GLP-1 concentrations after a standard 75 g oral glucose tolerance test (OGTT) or GLP-1-induced insulin secretion in healthy subjects without diabetes [9].

The glucagon-like peptide 1 receptor (GLP1R) specifically binds GLP-1 and related peptides with a lower affinity such as the gastric inhibitory polypeptide and glucagon [10]. The GLP1R is a member of the class B1 family of G protein-coupled receptors, and polar interactions (hydrogen bonds or salt bridges) between GLP1R and agonists have recently been predicted [11]. Some GLP1R gene polymorphisms have been found to be related to the strength of these interactions [12]. However, the relationship between these polymorphisms and the responsiveness to GLP-1 analogue treatment has yet to be explored. Pharmacogenetics has the potential to increase benefits and reduce side effects in patients whose drug responses are not average, and possibly to tailor treatments for these outliers [13]. A previous study reported that differences in the insulinotropic response to exogenous GLP-1 in healthy volunteers depended on the presence or absence of two common polymorphisms of the GLP1R gene [14]. However, the relationship between these single nucleotide polymorphisms (SNPs) and the effect of GLP-1 analogues in patients with type 2 diabetes mellitus has not yet been established.

Currently, GLP-1 analogues are most often used for patients with poorly controlled type 2 diabetes mellitus. However, the overall general control rate is not good which may be partially due to the complex etiology involved in type 2 diabetes mellitus [3]. Furthermore, the lack of normal beta cell secretary function is emphasized in modern practice. Therefore, the effect of GLP-1 analogues could be affected by various beta cell functions in patients with type 2 diabetes mellitus [3]. In order to study the effect of a GLP-1 analogue in patients with poorly controlled type 2 diabetes mellitus, we first optimized insulin therapy in this study. Continuous subcutaneous insulin infusion (CSII) or an insulin pump is a viable choice for patients with diabetes mellitus who require close-to-physiologic insulin treatment [15]. With insulin pump therapy provided during hospitalization it is possible to standardize the sugar control profile in patients with type 2 diabetes mellitus in a short period of time, thereby allowing for the further evaluation of the clinical response to GLP-1 analogues. To investigate the relationship between the SNPs of GLP1R and the effectiveness of GLP-1 analogue treatment in patients with type 2 diabetes mellitus, we performed exon resequencing of the GLP1R gene in patients with poorly controlled type 2 diabetes mellitus who were treated with a GLP-1 analogue in this study.

2. Materials and Methods

2.1. Patients

Thirty-six patients with type 2 diabetes were enrolled into this study from 2011 to 2013. The inclusion criteria were (a) age > 20 years; (b) diabetes mellitus diagnosed > 2 years; (c) A1C level of 8% to 12%; and (d) receiving premixed insulin twice daily with a total insulin daily dose of > 0.6 u/kg/day. The exclusion criteria were (a) recent history of drug or alcohol abuse; (b) sensitivity to analogous products; (c) serious cardiovascular disorders; (d) participation in another clinical investigation study; (e) ongoing influenza, autoimmune disease, or other metabolic disorders; and (f) pregnant or lactating women. This study was approved by the Institutional Review Board of the Chang Gung Memorial Hospital and registered with ClinicalTrials.gov (NCT01473147 and NCT02026024). Written informed consent was obtained from all subjects.

2.2. Study Protocol

All of the participants received a 6-day course of CSII intensive treatment during hospitalization. A finger-stick test was performed to examine premeal (AC) and 2-hour postmeal (PC) glucose levels after three meals in addition to bedtime and nocturnal glucose levels for a total of 8 measurements a day. The glucose level was normalized in the first 3 days, and the patients received a combined therapy with exenatide 5 μg twice daily for the remaining 3 days. The responsiveness to the GLP-1 analogue was evaluated by the standard deviation of plasma glucose (SDPG), mean amplitude of glycemic excursions (MAGE), and mean glucose compared to the baseline. The 75 g OGTT was performed at baseline and at the end of the study to assess the insulin sensitivity index and homeostasis model assessment-insulin resistance [16, 17]. We stopped pharmacological treatment for at least 12 hours (premixed insulin after the evening dose) before performing the 75 g OGTT at baseline. To eliminate the effect of ultra-short acting insulin, Aspart, in the use of CSII, the 75 g OGTT was performed 2 hours after CSII had been stopped (end of the study).

2.3. Continuous Subcutaneous Insulin Infusion (CSII)

The insulin regimen was switched from premixed insulin to CSII according to a previously described hospital-based protocol [18, 19]. In brief, the prepump total daily dose of insulin was used as the starting dose of CSII. Half of the dose was infused continuously as the basal dose, and the other half was divided for each meal as the bolus dose. The basal insulin dose was then titrated as precisely as 0.1 U per hour to maintain the blood glucose targets in the range of 90–140 mg/dL from bedtime throughout the nocturnal period, and at 70–140 mg/dL before each meal. The bolus insulin dose was titrated up or down carefully by 1 U for a fixed amount of carbohydrates to maintain the postprandial glucose range between 70 and 180 mg/dL. We found that using 50% of the total daily dose as the basal insulin dose was usually an overestimation among our patients. Therefore, we focused on reducing the basal infusion rate to prevent hypoglycemia and increased the bolus dosage for a fixed amount of carbohydrates during meals. All of the patients received an adequate adjustment based on this 3-day titration protocol. At the end of the study, the switch in treatment of twice-daily or multiple-daily injections in CSII was equal to the divided total daily insulin dose or the total daily basal dose and respective premeal bolus dose according to a recommended protocol [19]. The medical team included diabetologists, educators, and dieticians, who were all on call to manage any unexpected occurrences during hospitalization.

2.4. DNA Extraction and Direct Resequencing of the GLP1R Gene

Genomic DNA was extracted from the leukocytes of peripheral blood from the 36 patients according to the manufacturer’s recommendations (Genomic DNA Extraction Kit, RBC Bioscience, Taiwan). PCR was performed to amplify the promoter, all 13 exons and intron-exon boundaries of the GLP1R gene (GenBank accession number AL035690) using specific primer sets and PCR conditions as described in Supplementary Table 1, in Supplementary Material available online at http://dx.doi.org/10.1155/2015/176949 [20]. All of PCR products were confirmed by electrophoresis on 1.5% agarose gels and directly sequenced using an automated sequencer ABI 377 (Applied Biosystems, Foster City, CA) to determine the DNA sequences.

2.5. Statistical Analysis

Differences between groups with regard to continuous variables were tested using Student’s t-test. Differences in proportions were assessed using a chi-square test or Fisher’s exact test, as appropriate. Multiple linear regression analyses using additive genetic models were performed to adjust baseline variables and conducted with SPSS 20 (IBM SPSS Inc., Chicago, IL, USA). Results were expressed as means ± standard error mean or percentage. The level of statistical significance was set at a value of 0.05 or less. All statistical analyses were conducted using the MATLAB program, version R2013a (MathWorks Inc., Natick, MA, USA). All reported values are unadjusted for multiple testing.

3. Results

3.1. Clinical Manifestations

The mean age, gender, mean BMI, duration of diabetes mellitus, and A1C levels are shown in Table 1. The mean glucose, SDPG, and MAGE were significantly decreased after GLP-1 analogue treatment ( versus mg/dL, ; versus mg/dL, ; and versus mg/dL, , resp.) (Table 1). The homeostasis model assessment-insulin resistance (HOMA-IR) and insulin sensitivity index (ISI) were not significantly different after GLP-1 analogue treatment ( and 0.570, resp.).

3.2. Associations of GLP1R Genetic Variations with Drug Responsiveness

Nineteen SNPs around the exon region of the GLP1R gene were identified according to allele frequency (>0.2) in the 36 patients (Supplementary Figure 1). Among these 19 SNPs, we chose the reported missense SNP (rs3765467) [14] and the only one dinucleotide repeat polymorphism (rs5875654) for comparison. The rs5875654 was a short tandem repeat (STR) with 2-base-pair deletion of 8GA/7GA. The genotype of the 8GA/7GA variant was decomposed with the mixed sequence reader program [21] and further confirmed by PCR cloning following sequencing analysis (Figure 1). The rs5875654 and rs761386 SNPs showed complete linkage disequilibrium (LD, with ). The allele frequencies of these 3 missense and silent variants were depicted in Table 2. By analysis of the quantitative trait loci for other clinical variables, the two SNPs rs3765467 and rs761386 were found to be significantly associated with changes in the standard deviation of plasma glucose () in the enrolled patients ( and 0.019, resp.) (Figure 2). The clinical characteristics of the subjects according to the recessive genotype subgroups are summarized in Supplementary Table 2 and all clinical variables were not significant between subgroups except for the sex distribution of rs3765467. However, the results remained the same and there was no change after adjusting for the sex variable. In particular, the T allele of rs3765467 and rs761386 was found to be associated with an opposite SDPG change (lower in rs3765467 and higher in rs761386) after GLP-1 analogue treatment. The association of the SDPG change with rs3765467 and rs761386 by multiple linear regression analyses using the additive genetic models with adjustment of age, sex, BMI, and glycemic states at baseline also demonstrated the same trend (Table 3).

(a)

(b)

(c)

(a)

(b)

(c)

(d)

(e)

(f)

The mean glucose and mean amplitude of glycemic excursions at baseline, treatment, and the change between the two time-points showed no significant differences between rs3765467 and rs761386 (Supplementary Figures 2 and 3). The association data of the remaining 16 common variants with each trait is shown in Supplementary Table 3.

The effects of GLP1R genotypes on glucose, insulin, and C-peptide concentrations during the 75 g OGTT after GLP-1 analogue treatment are shown in Figure 3. The (CT/TT) recessive model of rs761386 showed significantly higher glucose levels at 120 minutes of the 75 g OGTT (); however the insulin and C-peptide levels were not significantly different between the two genotypes throughout the OGTT for both rs3765467 and rs761386. The associations of the glucose, C-peptide, and insulin changes with rs3765467 and rs761386 by multiple linear regression analyses using the additive genetic models with and without adjustment of age, sex, BMI, and glycemic states at baseline showed no significance (Table 4). The reported values became insignificant after multiple testing adjustments.

(a)

(b)

(c)

(d)

(e)

(f)

4. Discussion

To the best of our knowledge, this is the first study to reveal the relationship between genetic variations of GLP1R and the response to a GLP-1 analogue in patients with type 2 diabetes mellitus, although the number of enrolled cases in this study is limited. Based on our understanding of the characteristics of the GLP-1 analogue, exenatide, added to CSII during hospitalization, we could evaluate the real response to the GLP-1 analogue in patients with poorly controlled type 2 diabetes mellitus by excluding variable residual beta cell function. The combination of exenatide and insulin has previously been evaluated in clinical trials [22, 23]. In a placebo-controlled trial, exenatide added to insulin glargine reduced A1C by approximately 0.7% [23]. Another randomized trial examined the replacement of insulin with exenatide in patients with type 2 diabetes and found that glycemic control deteriorated in 38% (11 of 29) of the patients who received exenatide compared with 19% (3 of 16) of the patients who continued insulin [24]. The patients who lost glycemic control were more likely to have a longer duration of disease, lower C-peptide concentrations (suggesting less endogenous beta cell function), and larger insulin requirements at baseline. However, the combined use of basal-bolus or CSII and exenatide could maintain minimal beta cell function and potentiate the clinical effect of exenatide.

The 3-day conditioning period with CSII treatment is short compared to the time spent in the general outpatient therapy. But our protocol followed the suggestion of pump therapy in the previous report [19]. In this hospital based practice, we could simply focus on reducing the basal infusion rate to prevent hypoglycemia and increasing bolus insulin dosage for the fixed carbohydrate amount in meals. For the limitation of the total of one week of hospitalization, we could make use of the 3-day conditioning period with CSII treatment to efficiently detect the effect of GLP-1 analogue in these poorly controlled patients with type 2 DM.

Three SNPs have previously been associated with a response to infused GLP-1 or GLP-1 concentrations in response to an oral challenge (Table 5) [12, 14]. A previously published report showed that heterozygotes of the minor allele of rs3765467 were associated with an increase in GLP-1 response in healthy volunteers [14]. However, there were no significant differences in clinical response except for a lower SDPG change in the current study. Ethnic diversity and the characteristics of the participants may be reasons for this discrepancy.

As shown in Figures 2 and 3, a significant difference in SDPG change after GLP-1 analogue treatment was found between subgroups of genotype rs3765467 despite there being no significant differences in glucose, insulin, and C-peptide level on OGTT. The effects of GLP-1 analogue involve both beta cell and non-beta cell responses. Based on the results of this study, the variant of rs3765467 had an impact on SDPG change after GLP-1 analogue treatment favorably through the effect of non-beta cell related function, for example, glucagon suppression. The finding that there were no differences in glucose, insulin, and C-peptide levels in OGTT just reflected the lesser impact of this variant on the beta cell secretion.

The expression of a nonsynonymous SNP (rs367543060), which results in the substitution of methionine for threonine at position 149 of GLP1R in cell systems, has been documented to decrease binding affinity for GLP-1 and intracellular signaling after hormone receptor binding [12, 25]. The Thr149Met mutation was detected only in the proband among subjects with type 2 diabetes (1/791) but not in controls in a study from Japan [20]. Although the minor allele frequency data is not available at present, the variation of T149M of GLP1R was not detected in our enrolled patients. In the current study, the presence of the dinucleotide repeat polymorphism in the STR (8GA/7GA) of the GLP1R gene was nominally associated with altered glucose control with the use of a GLP-1 analogue. The significant SNPs in this study were located within intronic noncoding regions, and therefore the mechanisms of their actions remain elusive. Recent studies have reported that variants in TCF7L2 (rs7903146) and WFS1 (rs10010131), which have been shown to affect the response to exogenous GLP-1, and variants in KCNQ1 (rs151290, rs2237892, and rs2237895), which have been demonstrated to alter endogenous GLP-1 secretion, are all identified in noncoding intron regions [6–9, 26]. Given that none of the chosen SNPs were located in coding regions, these genetic variants in GLP1R may affect gene expression but not the function of the gene product.

The actions of GLP-1 (primarily stimulation of insulin secretion and suppression of glucagon secretion) are mediated by binding to its cognate receptor. Exenatide, a GLP-1 receptor agonist, binds to the GLP-1 receptor with greater affinity than its natural ligand due to a nine-amino-acid COOH-terminal sequence that is absent in native GLP-1 [27]. The substitution of glycine for alanine at position eight of native GLP-1 has been reported to decrease its affinity for the receptor [28], suggesting that both N- and COOH-terminal ends of GLP-1 bind the receptor. The application of chimeric GLP-1/GIP peptides together with molecular modeling suggests that His¹ of GLP-1 interacts with Asn³⁰² of GLP1R, and that Thr⁷ of GLP-1 has close contact with a binding pocket formed by Ile¹⁹⁶, Leu²³², and Met²³³ of GLP1R [29]. The location of the STR related to the unresponsiveness of the GLP-1 analogue is around the coding region in Exons 9-10 responsible for the binding sites. Further studies assessing the function of gene regulation may help to clarify the relationship of this novel genetic variation and drug response.

One of the limitations of this study is the lack of data on the impact of long-term A1C control for the genetic variants of GLP1R. However, having well-controlled blood sugar management by CSII during the hospitalization period could help to further clarify the different pharmacological effects of the GLP-1 analogue in this type of patient. Although the reported values became insignificant after multiple testing adjustments, the small sample size due to clinical difficulties in keeping patients hospitalized might not allow for such a statistical correction. Future large-scale studies aiming at elucidating the contribution of GLP1R genetic variations to GLP-1 analogue response will need to take into account the likelihood of the small effects of these variants on the quantitative traits to ensure that they are adequately powered to reproducibly determine such effects. While it is certainly possible that these variants had smaller effects on GLP-1 analogue-induced responses in this study, the clinical application of screening for genotype 7GA/7GA in rs5875654 and T/T in rs761386 could reveal which patients would be unresponsive to the GLP-1 analogue. It is important to develop approaches that help to effectively manage the use of expensive drugs in current modern incretin-based therapy of type 2 diabetes mellitus and to control unnecessary expenses.

5. Conclusion

The variable response to a GLP-1 analogue was not statistically correlated to the polymorphisms of the GLP1R gene in patients with poorly controlled type 2 diabetes mellitus.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

This work was funded by Grants (CMRPG3A0911, CMRPG3C1151) from the Chang Gung Memorial Hospital.

Supplementary Materials

The promoter, all 13 exons and intron-exon boundaries of the GLP1R gene (GenBank accession number AL035690) were amplified by polymerase chain reaction (PCR) using specific primer sets in Supplementary Table 1. The Titanium Taq DNA Polymerase (Clontech Laboratories, Inc., Mountain View, CA, USA) was used in PCR. The PCR amplification conditions consisted of initial denaturation at 95°C for 5 minutes followed by 40 cycles at 95°C for 45 seconds, annealing temperature for 45 seconds and 72°C for 45 seconds, with one additional cycle at 72°C for 10 minutes.

Supplementary Material

References

L. L. Baggio and D. J. Drucker, “Biology of incretins: GLP-1 and GIP,” Gastroenterology, vol. 132, no. 6, pp. 2131–2157, 2007.
View at: Publisher Site | Google Scholar
J. J. Holst, M. Bersani, A. H. Johnsen, H. Kofod, B. Hartmann, and C. Ørskov, “Proglucagon processing in porcine and human pancreas,” The Journal of Biological Chemistry, vol. 269, no. 29, pp. 18827–18833, 1994.
View at: Google Scholar
D. J. Drucker and M. A. Nauck, “The incretin system: glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes,” The Lancet, vol. 368, no. 9548, pp. 1696–1705, 2006.
View at: Publisher Site | Google Scholar
J. M. Egan, A. R. Clocquet, and D. Elahi, “The insulinotropic effect of acute exendin-4 administered to humans: comparison of nondiabetic state to type 2 diabetes,” The Journal of Clinical Endocrinology and Metabolism, vol. 87, no. 3, pp. 1282–1290, 2002.
View at: Publisher Site | Google Scholar
S. L. Anderson, J. M. Trujillo, M. McDermott, and J. J. Saseen, “Determining predictors of response to exenatide in type 2 diabetes,” Journal of the American Pharmacists Association, vol. 52, no. 4, pp. 466–471, 2012.
View at: Publisher Site | Google Scholar
K. Müssig, H. Staiger, F. Machicao et al., “Association of type 2 diabetes candidate polymorphisms in KCNQ1 with incretin and insulin secretion,” Diabetes, vol. 58, no. 7, pp. 1715–1720, 2009.
View at: Publisher Site | Google Scholar
S. A. Schäfer, K. Müssig, H. Staiger et al., “A common genetic variant in WFS1 determines impaired glucagon-like peptide-1-induced insulin secretion,” Diabetologia, vol. 52, no. 6, pp. 1075–1082, 2009.
View at: Publisher Site | Google Scholar
S. A. Schäfer, O. Tschritter, F. Machicao et al., “Impaired glucagon-like peptide-1-induced insulin secretion in carriers of transcription factor 7-like 2 (TCF7L2) gene polymorphisms,” Diabetologia, vol. 50, no. 12, pp. 2443–2450, 2007.
View at: Publisher Site | Google Scholar
G. Smushkin, M. Sathananthan, A. Sathananthan et al., “Diabetes-associated common genetic variation and its association with GLP-1 concentrations and response to exogenous GLP-1,” Diabetes, vol. 61, no. 5, pp. 1082–1089, 2012.
View at: Publisher Site | Google Scholar
H.-C. Fehmann, J. Jiang, J. Schweinfurth et al., “Ligand-specificity of the rat GLP-I receptor recombinantly expressed in Chinese hamster ovary (CHO-) cells,” Zeitschrift fur Gastroenterologie, vol. 32, no. 4, pp. 203–207, 1994.
View at: Google Scholar
A. Kirkpatrick, J. Heo, R. Abrol, and W. A. Goddard III, “Predicted structure of agonist-bound glucagon-like peptide 1 receptor, a class B G protein-coupled receptor,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 49, pp. 19988–19993, 2012.
View at: Publisher Site | Google Scholar
M. Beinborn, C. I. Worrall, E. W. McBride, and A. S. Kopin, “A human glucagon-like peptide-1 receptor polymorphism results in reduced agonist responsiveness,” Regulatory Peptides, vol. 130, no. 1-2, pp. 1–6, 2005.
View at: Publisher Site | Google Scholar
J. Woodcock and L. J. Lesko, “Pharmacogenetics—tailoring treatment for the outliers,” The New England Journal of Medicine, vol. 360, no. 8, pp. 811–813, 2009.
View at: Publisher Site | Google Scholar
A. Sathananthan, C. D. Man, F. Micheletto et al., “Common genetic variation in GLP1R and insulin secretion in response to exogenous GLP-1 in nondiabetic subjects: a pilot study,” Diabetes Care, vol. 33, no. 9, pp. 2074–2076, 2010.
View at: Publisher Site | Google Scholar
B. W. Bode, “Use of rapid-acting insulin analogues in the treatment of patients with type 1 and type 2 diabetes mellitus: insulin pump therapy versus multiple daily injections,” Clinical Therapeutics, vol. 29, supplement D, pp. S135–S144, 2007.
View at: Publisher Site | Google Scholar
M. Matsuda and R. A. DeFronzo, “Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp,” Diabetes Care, vol. 22, no. 9, pp. 1462–1470, 1999.
View at: Publisher Site | Google Scholar
D. R. Matthews, J. P. Hosker, A. S. Rudenski, B. A. Naylor, D. F. Treacher, and R. C. Turner, “Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man,” Diabetologia, vol. 28, no. 7, pp. 412–419, 1985.
View at: Publisher Site | Google Scholar
B. W. Bode, W. V. Tamborlane, and P. C. Davidson, “Insulin pump therapy in the 21st century: strategies for successful use in adults, adolescents, and children with diabetes,” Postgraduate Medicine, vol. 111, no. 5, pp. 69–77, 2002.
View at: Google Scholar
C.-H. Lin, C.-H. Huang, J.-S. Tsai et al., “Effects of a novel short-term continuous subcutaneous insulin infusion program evaluated by continuous glucose monitoring on young adult type 1 diabetic patients in Taiwan,” Endocrine Journal, vol. 58, no. 10, pp. 835–840, 2011.
View at: Publisher Site | Google Scholar
Y. Tokuyama, K. Matsui, T. Egashira, O. Nozaki, T. Ishizuka, and A. Kanatsuka, “Five missense mutations in glucagon-like peptide 1 receptor gene in Japanese population,” Diabetes Research and Clinical Practice, vol. 66, no. 1, pp. 63–69, 2004.
View at: Publisher Site | Google Scholar
C.-T. Chang, C.-N. Tsai, C. Y. Tang et al., “Mixed sequence reader: a program for analyzing DNA sequences with heterozygous base calling,” The Scientific World Journal, vol. 2012, Article ID 365104, 10 pages, 2012.
View at: Publisher Site | Google Scholar
S. Arnolds, S. Dellweg, J. Clair et al., “Further improvement in postprandial glucose control with addition of exenatide or sitagliptin to combination therapy with insulin glargine and metformin: a proof-of-concept study,” Diabetes Care, vol. 33, no. 7, pp. 1509–1515, 2010.
View at: Publisher Site | Google Scholar
J. B. Buse, R. M. Bergenstal, L. C. Glass et al., “Use of twice-daily exenatide in Basal insulin-treated patients with type 2 diabetes: a randomized, controlled trial,” Annals of Internal Medicine, vol. 154, no. 2, pp. 103–112, 2011.
View at: Publisher Site | Google Scholar
S. N. Davis, D. Johns, D. Maggs, H. Xu, J. H. Northrup, and R. G. Brodows, “Exploring the substitution of exenatide for insulin in patients with type 2 diabetes treated with insulin in combination with oral antidiabetes agents,” Diabetes Care, vol. 30, no. 11, pp. 2767–2772, 2007.
View at: Publisher Site | Google Scholar
C. Koole, D. Wootten, J. Simms et al., “Polymorphism and ligand dependent changes in human glucagon-like peptide-1 receptor (GLP-1R) function: allosteric rescue of loss of function mutation,” Molecular Pharmacology, vol. 80, no. 3, pp. 486–497, 2011.
View at: Publisher Site | Google Scholar
K. Pilgaard, C. B. Jensen, J. H. Schou et al., “The T allele of rs7903146 TCF7L2 is associated with impaired insulinotropic action of incretin hormones, reduced 24 h profiles of plasma insulin and glucagon, and increased hepatic glucose production in young healthy men,” Diabetologia, vol. 52, no. 7, pp. 1298–1307, 2009.
View at: Publisher Site | Google Scholar
M. E. Doyle, M. J. Theodorakis, H. W. Holloway, M. Bernier, N. H. Greig, and J. M. Egan, “The importance of the nine-amino acid C-terminal sequence of exendin-4 for binding to the GLP-1 receptor and for biological activity,” Regulatory Peptides, vol. 114, no. 2-3, pp. 153–158, 2003.
View at: Publisher Site | Google Scholar
M. E. Doyle, N. H. Greig, H. W. Holloway, J. A. Betkey, M. Bernier, and J. M. Egan, “Insertion of an N-terminal 6-aminohexanoic acid after the 7 amino acid position of glucagon-like peptide-1 produces a long-acting hypoglycemic agent,” Endocrinology, vol. 142, no. 10, pp. 4462–4468, 2001.
View at: Publisher Site | Google Scholar
M. J. Moon, H. Y. Kim, S. Park et al., “Evolutionarily conserved residues at glucagon-like peptide-1 (GLP-1) receptor core confer ligand-induced receptor activation,” The Journal of Biological Chemistry, vol. 287, no. 6, pp. 3873–3884, 2012.
View at: Publisher Site | Google Scholar

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Copyright © 2015 Chia-Hung Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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