Journal List > Endocrinol Metab > v.30(1) > 1086234

Kim, Lim, Lee, Kang, Lee, and Cha: Optimal Candidates for the Switch from Glimepiride to Sitagliptin to Reduce Hypoglycemia in Patients with Type 2 Diabetes Mellitus

Abstract

Background

Sitagliptin is a novel antidiabetic agent with a low risk for hypoglycemia. We investigated the efficacy and safety of sitagliptin when patients switched from a sulfonylurea to sitagliptin and identified good candidates for the switch.

Methods

Sixty-one patients with type 2 diabetes switched from glimepiride with metformin to sitagliptin with metformin due to clinical hypoglycemia. Serum glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and 2-hour postprandial plasma glucose (2h-PPG) before and 12 and 24 weeks after the drug switch were checked.

Results

HbA1c and FPG levels did not change 12 or 24 weeks after the switch; however, the 2h-PPG level decreased from 218.0±67.5 mg/dL at baseline to 197.1±69.9 mg/dL at 12 weeks and 192.3±67.4 mg/dL at 24 weeks after switching drugs (P=0.045, P=0.018, respectively). All but one patient no longer experienced hypoglycemia after discontinuing glimepiride. In a multivariate logistic regression analysis, a high homeostasis model assessment of insulin resistance and low baseline HbA1c level were independent predictors of an HbA1c ≤7% after switching to sitagliptin.

Conclusion

Glycemic control was not aggravated in patients 24 weeks after the drug switch, and symptomatic hypoglycemia decreased significantly. Patients with dominant insulin resistance may be good candidates for switching from a sulfonylurea to sitagliptin to reduce hypoglycemia.

INTRODUCTION

Sulfonylureas are the most widely used antidiabetic agents worldwide; however, concern has been raised about their possible adverse effects. These agents may cause weight gain, hypoglycemia, and β-cell exhaustion, resulting in limited effectiveness (secondary failure) long-term [1,2,3]. Therefore, there is interest in hyperglycemic agents with comparable glucose lowering efficacy to sulfonylureas, but with less effect on hypoglycemia and weight gain, which would improve the management of patients with type 2 diabetes mellitus.
Dipeptidyl peptidase-4 (DPP-4) inhibitors have become a commonly used treatment for type 2 diabetes [4], and among these inhibitors, sitagliptin was the first approved agent. It acts by preventing degradation of glucagon-like peptide-1 (GLP-1), thus potentiating the action of native GLP-1 by 2- to 3-fold. Sitagliptin causes glucose-dependent insulin secretion, decreases hepatic glucose output, and may have a trophic effect on pancreatic β-cells [5]. DPP-4 inhibitors are weight-neutral, and the incidences of hypoglycemia and adverse gastrointestinal effects in response to sitagliptin are similar to those with a placebo [6]. In addition, DPP-4 inhibitors increased the number of pancreatic β-cells and improved their function in a preclinical study [7].
While both sulfonylureas and DPP-4 inhibitors increase insulin release from pancreatic β-cells, their underlying mechanisms differ. Thus, it might be possible to replace a sulfonylurea with a DPP-4 inhibitor in certain patients with a high risk of hypoglycemia, but few relevant studies have been conducted. Thus, we investigated the efficacy and safety of sitagliptin when patients switched from a sulfonylurea to sitagliptin and identified good candidates for the drug switch to prevent symptomatic hypoglycemia.

METHODS

Study design

This study was performed in patients with type 2 diabetes mellitus who visited the outpatient Division of the Endocrinology and Metabolism at Severance Hospital, Yonsei University College of Medicine from October 2008 to December 2009. This protocol was approved by the Institutional Review Board of Yonsei University College of Medicine. Patients with symptomatic hypoglycemia, defined as an event with subjective symptoms of hunger, anxiety, sweating, tremors, or palpitations, were switched from glimepiride with metformin to sitagliptin with metformin without a change in the metformin dose. Patients who discontinued sitagliptin before 24 weeks or who changed the dose of their antidiabetic medication during the study period were excluded. The sitagliptin dose was 100 mg once daily. All subjects were tested for serum glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and 2-hour postprandial plasma glucose (2h-PPG) before and 12 and 24 weeks after the drug switch.
We divided the patients into two groups based on their status of glucose control at 12 or 24 weeks after the drug switch to identify good candidates for the switch (HbA1c ≤7% [adequate control group, group 1] vs. HbA1c >7% [inadequate control group, group 2]). Factors affecting the efficacy of switching to sitagliptin were evaluated. The clinical parameters assessed in the two groups included age, sex, duration of diabetes, body mass index (BMI), plasma lipid concentration, pancreatic β-cell function, and degree of insulin resistance.
The patients' records were reviewed to verify the duration of diabetes and medication profiles. We calculated the BMI of the participants using the height and weight measurements from these records. FPG/2h-PPG levels were determined using a standard glucose oxidase method and a 747 automatic analyzer (Hitachi Instrument Service, Tokyo, Japan). Plasma triglycerides, total cholesterol, and high density lipoprotein cholesterol were assayed using a routine Hitachi 7600 autoanalyzer (Hitachi Instrument Service). Low density lipoprotein cholesterol was calculated using the Friedewald equation. HbA1c level was measured by high-performance liquid chromatography using a Variant II Turbo system (Bio-Rad Laboratories, Hercules, CA, USA). The HbA1c assay was certified by the National Glycohemoglobin Standardization Program [8]. Serum insulin and C-peptide levels were measured in duplicate using an immunoradiometric assay method (Beckman Coulter, Fullerton, CA, USA). Insulin resistance was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR) equation as follows: HOMA-IR=[fasting insulin (µIU/mL)×fasting serum glucose (mmol/L)/22.5]. HOMA-β was calculated to assess pancreatic β-cell function using the following formula: 20×fasting insulin (µIU/mL)/fasting glucose (mmol/L)-3.5 [9,10].

Statistical analysis

Continuous variables with a normal distribution have been expressed as means±SD and discrete variables as percentages. Statistical comparisons of HbA1c, FPG, and PPG levels at 12 weeks and 24 weeks after switch were performed using paired t test. Intergroup differences in baseline characteristics were analyzed by Student t test for continuous variables or the chi-square test for gender. Multivariate logistic regression analysis was used to examine the independent factors for predicting the efficacy when switching from a sulfonylurea to sitagliptin. All statistical analyses were performed using PASW statistics version 18.0 (IBM Co., Armonk, NY, USA). A P<0.05 was considered significant.

RESULTS

Baseline characteristics

Sixty-one subjects (25 men and 36 women; mean age, 59.3±11.6 years) were switched from glimepiride to sitagliptin due to hypoglycemia and the treatment continued for at least 24 weeks during the study period. Before the switch to sitagliptin, the mean HbA1c value was 7.5%±1.3%, FPG was 134.1±36.0 mg/dL, and 2h-PPG was 218.0±67.5 mg/dL. The mean BMI was 24.7±3.1 kg/m2, and the mean diabetes duration was 8.9±8.6 years. The mean dose of glimepiride before the switch was 2.6±1.7 mg/day, and the mean dose of metformin was 995±476 mg/day (Table 1).

Efficacy and safety after the switch from a sulfonylurea to sitagliptin

The HbA1c level was 7.4%±1.4% at 12 weeks after the switch from glimepiride to sitagliptin and tended to decrease (7.3%±1.2%) after 24 weeks (P=0.8, P=0.241, respectively). FPG was also comparable before and after switching drugs (134.1±36.0 mg/dL at baseline, 137.2±37.8 mg/dL at 12 weeks after switching, 135.0±32.1 mg/dL at 24 weeks after switching). However, the switch from glimepiride to sitagliptin significantly reduced the 2h-PPG level by 21 mg/dL (218.0±67.5 to 197.1±69.9 mg/dL, P=0.045) at week 12 and by 26 mg/dL (218±67 to 192.3±67.4 mg/dL, P=0.018) at week 24 (Fig. 1). The proportion of patients who reached the target HbA1c level of <7% was 31.1% at baseline, which increased to 44.3% and 42.6% at 12 and 24 weeks, respectively. All but one patient stopped experiencing hypoglycemia after discontinuing the sulfonylurea.

Predictive clinical characteristics of sitagliptin after the switch from the sulfonylurea

We divided the patients into two groups based on their status of glucose control at 12 weeks after switching drugs to evaluate the clinical factors affecting efficacy after the switch (HbA1c ≤7% [adequate control group, group 1] vs. HbA1c >7% [inadequate control group, group 2]). In both groups, the HbA1c level did not increased with switching drugs. The HbA1c level was 6.8%±0.9% at baseline, 6.4%±0.4% at 12 weeks after switching, and 6.5%±0.5% at 24 weeks after switching in group 1 and 8.0%±1.4% at baseline, 8.2%±1.4% at 12 weeks after switching, and 8.0%±1.2% at 24 weeks after switching in group 2 (Fig. 1). The glycemic profiles and the baseline HbA1c, FPG, and 2h-PPG levels were better in group 1 than in group 2; however, other clinical parameters, including age, duration of diabetes, BMI, HOMA-IR, HOMA-β, and the doses of metformin and glimepiride, did not differ between the two groups (Table 2). A multivariate logistic regression analysis was performed to predict HbA1c levels of ≤7% at 12 weeks after the switch from glimepiride to sitagliptin to identify the best candidates for the switch (Table 3). Age, sex, BMI, duration of diabetes, doses of glimepiride and metformin, baseline HbA1c, HOMA-IR, and HOMA-β were used as independent variables. After adjusting for other factors, a low baseline HbA1c level and high HOMA-IR were predictors of efficacy after switching from glimepiride to sitagliptin.

DISCUSSION

We analyzed 61 Korean patients with type 2 diabetes who switched from glimepiride to sitagliptin because of clinical hypoglycemia. We investigated the efficacy and safety of sitagliptin treatment and identified good candidates for the drug switch. The mean duration of diabetes was approximately 8 years, and these patients were treated with glimepiride and metformin combination therapy. Glycemic control was acceptable, indicated by a mean HbA1c level of approximately 7.5%; however, symptomatic hypoglycemia was evident. The switch did not aggravate glycemic control, and there was a trend towards decreasing HbA1c levels, by 0.1% and 0.2% after 12 and 24 weeks, respectively. The proportion of patients who reached the target HbA1c level of <7% increased from 31.1% to 44.3% after switching drugs. While FPG did not change, 2h-PPG and symptomatic hypoglycemia decreased significantly. These results suggest that patients with dominant insulin resistance, particularly those with frequent hypoglycemia or a high risk for hypoglycemia, may benefit from switching drugs.
Sulfonylureas exert their antihyperglycemic action by stimulating pancreatic β-cells to produce insulin. These agents are a proven and potent therapy for patients with type 2 diabetes mellitus. However, hypoglycemia is a common side effect of these drugs. Hypoglycemia is related to poor clinical outcomes including increased risk for cardiovascular disease and overall mortality in patients with type 2 diabetes [11,12,13]. Furthermore, β-cell preservation is another critical problem, and treating patients with sulfonylureas often results in secondary failure. Secondary failure has two major causes: eventual exhaustion of β-cells caused by the sulfonylurea treatment itself and glucose toxicity induced by poor glycemic control, resulting in reduced pancreatic β-cell responsiveness [14,15]. Sitagliptin, a DPP-4 inhibitor, has recently been used widely to increase insulin secretion in a glucose-dependent manner, potentially presenting a good choice for glucose control with a low risk of hypoglycemia. Several preclinical studies have shown that DPP-4 inhibitors increase the number of pancreatic β-cells and improve their function [7,16,17]. Shirakawa et al. [18] reported the protective effects of DPP-4 inhibitors against increased β-cell apoptosis induced by dietary sucrose and linoleic acid in a mouse model of diabetes mellitus. Several studies have compared the efficacy of DPP-4 inhibitors and sulfonylureas. Arechavaleta et al. [19] showed that adding sitagliptin or glimepiride led to similar improvements in glycemic control in patients with type 2 diabetes on metformin monotherapy. Another study showed that the addition of sitagliptin, compared with glipizide, produced the same results [20]. Sitagliptin was generally well tolerated in both studies, with a lower risk of hypoglycemia and weight loss compared with the two sulfonylureas glimepiride and glipizide. The rate of severe hypoglycemia was as high as 1.5% over 2 years with sulfonylurea use but was very rare with DPP-4 inhibitor use. Considering the results of those studies, DPP-4 inhibitors appear to be possible replacements for sulfonylureas due to their comparable efficacy and obvious superiority in terms of adverse effects and long-term β-cell preservation.
Many efforts have been made to evaluate the efficacy of DPP-4 inhibitors after combining them with another oral hypoglycemic agent, such as metformin, or using them as monotherapy. We evaluated the switch from a sulfonylurea to a DPP-4 inhibitor in an actual clinical setting, particularly in patients with frequent hypoglycemia. Kim et al. [21] showed that switching from a low dose sulfonylurea (average dose of 1.8 mg glimepiride and 30 mg gliclazide modified release) did not change the HbA1c or FPG levels. Chung and Lee [22] reported similar results in 45 patients who switched from glimepiride (average dose, 3.44 mg/day) to sitagliptin. In addition, they suggested considering a switch in relatively well-controlled patients with frequent hypoglycemia [22]. Our results show that the overall glycemic control was not aggravated. Furthermore, postprandial glycemic control improved in patients who switched from glimepiride to sitagliptin. Many studies have reported postprandial hyperglycemia as a major cause of adverse cardiovascular disease in patients with diabetes mellitus [23]. In addition, variations in glucose contribute to the development and progression of atherosclerosis [24]. Thus, strategies to improve postprandial hyperglycemia and reduce variations in glucose are an important focus in diabetes management. In this study, 2h-PPG decreased by >20 mg/dL after the drug switch. We did not check the exact variations in glucose; however, it can be inferred that sitagliptin reduced glucose excursions in these patients according to the slightly increased FPG level and markedly decreased 2h-PPG level. Thus, this may be another benefit for postprandial glucose control after switching to a DPP4-inhibitor.
We also identified good candidates for the switch from a sulfonylurea to sitagliptin. In previous clinical studies, high baseline HbA1c [25,26], low insulinogenic index [26], short duration of diabetes [21,26], and high BMI [27] were predictors of sitagliptin efficacy. However, our study was different in that we did not use add-on therapy at the time of the sulfonylurea-to-sitagliptin switch. In our study, patients with high HOMA-IR, an insulin sensitivity marker, achieved good glycemic control after the switch to sitagliptin. DPP-4 inhibitors are well known to improve β-cell function [28,29]; however, improvements in insulin sensitivity remain controversial [25,30]. Hyperglycemia in patients with type 2 diabetes is caused by multiple defects, including insulin resistance, impaired insulin secretion, and excessive hepatic glucose production. Sulfonylureas are representative oral hypoglycemia agents without insulin sensitizing effects. However, incretin has pleiotropic effects in addition to an insulin secretory effect [31]. A recent rodent animal model study reported that sitagliptin monotherapy improved insulin sensitivity, as assessed by HOMA-IR, and that this improvement was comparable to that using metformin monotherapy [32]. Thus, if a patient has both insulin resistance and a β-cell secretory defect, a sulfonylurea would improve insulin secretion only; however, sitagliptin may influence both defects, resulting in a greater reduction in HbA1c after drug switching. Our results suggest the clinical implications for this effect.
This study had certain limitations. First, only a relatively small number of cases were included. Second, the definition of hypoglycemia was not accurate, and there was little documentation on weight changes in patients before and after switching drugs. Third, we did not use a standardized meal when assessing 2h-PPG levels, nor did we measure HOMA-IR or HOMA-β after switching drugs. Last, we could not compare the effects of drug switching with a control group because of the retrospective nature of the study. Despite these limitations, our results suggest that it is possible for patients with type 2 diabetes mellitus to switch from a low-dose sulfonylurea to a DPP-4 inhibitor, particularly those with a high risk for hypoglycemia while using a sulfonylurea. Of course, there is concern about the cost. Sulfonylureas offer an inexpensive and effective therapy option for a worldwide pandemic. However, the switch to a safer DPP-4 inhibitor could be another choice to treat patients with a higher risk of hypoglycemia, including elderly, lean, or impaired renal function patients. DDP-4 inhibitors and GLP-1 analogs have gained a significant market share in the USA [33].
In conclusion, glycemic control was not aggravated, and 2h-PPG improved 24 weeks after switching from glimepiride and metformin to sitagliptin and metformin. Approximately half of the patients achieved the goal of an HbA1c level ≤7% after the switch. Both documented and clinical hypoglycemia decreased remarkably after the drug switch. Patients with dominant insulin resistance could be good candidates for switching from a sulfonylurea to sitagliptin.

Figures and Tables

Fig. 1

(A) Changes in glycated hemoglobin (HbA1c), (B) fasting plasma glucose (FPG), (C) 2-hour postprandial glucose (2h-PPG) values in all patients, (D) HbA1c in group 1 (HbA1c ≤7% at 12 weeks after switching), and (E) HbA1c in group 2 (HbA1c >7% at 12 weeks after switching) before and after switching from glimepiride to sitagliptin. Data are presented as the mean±SD. Paired t test. aP<0.05 vs. baseline.

enm-30-84-g001
Table 1

Baseline Characteristcs of the Study Participants

enm-30-84-i001
Characteristic Value
Age, yr 59.3±11.6
Male 25 (40.9)
Duration of diabetes, yr 8.9±8.6
BMI, kg/m2 24.7±3.1
HbA1c, % 7.5±1.3
Fasting plasma glucose, mg/dL 134.1±36.0
Postprandial plasma glucose, mg/dL 218.0±67.5
Total cholesterol, mg/dL 174.7±37.6
Triglyceride, mg/dL 159.3±87.6
HDL-C, mg/dL 48.2±13.3
LDL-C, mg/dL 96.1±32.2
HOMA-IR 5.0±5.3
HOMA-β 44.8±30.8
Glimepiride dose, mg/day 2.6±1.7
Metformin dose, mg/day 995±476

Values are expressed as mean±SD or number (%).

BMI, body mass index; HbA1c, glycated hemoglobin; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function.

Table 2

Comparison of Clinical and Laboratory Data according to Glycemic Control 12 Weeks after Switching Drugs

enm-30-84-i002
Variable Group 1
(HbA1c ≤7%)
(n=27)
Group 2
(HbA1c >7%)
(n=34)
P value
Age, yr 59±13 59±9 0.878
Male sex 10 (37) 15 (44.1) 0.384
BMI, kg/m2 25.1±2.8 24.4±3.4 0.331
Duration of diabetes, yr 7.9±9.4 9.6±7.9 0.467
Fasting plasma glucose, mg/dL 119.9±30 145.4±36 0.004
Postprandial plasma glucose, mg/dL 186.0±65.9 242.2±58.8 0.002
HbA1c, % 6.8±0.9 8.0±1.4 <0.001
Total cholesterol, mg/dL 170.4±40.4 178.1±35.5 0.442
HDL-C, mg/dL 47.3±14.4 48.9±12.6 0.654
LDL-C, mg/dL 90.9±36.9 100.1±27.9 0.288
Triglyceride, mg/dL 172.8±93.3 148.6±82.6 0.296
HOMA-IR 5.1±5.3 5.0±5.4 0.928
HOMA-β 41.1±30.8 48.2±31.4 0.506
Glimepiride dose, mg/day 2.3±1.4 2.7±1.9 0.323
Metformin dose, mg/day 946±451 1,033±498 0.476

Values are expressed as mean±SD or number (%).

HbA1c, glycated hemoglobin; BMI, body mass index; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function.

Table 3

Multivariate Logistic Regression Analysis for Predicting a HbA1c Level ≤7% 12 Weeks after Switching from Glimepiride to Sitagliptin

enm-30-84-i003
Variable OR (95% CI) P value
Age, yr 1.108 (0.913-1.343) 0.300
Gender, male 1.079 (0.015-79.913) 0.972
BMI, kg/m2 0.931 (0.515-1.684) 0.813
Duration of diabetes, yr 0.973 (0.665-1.424) 0.889
HbA1c, % 0.008 (0.000-0.643) 0.031
HOMA-IR 1.643 (1.067-2.529) 0.024
HOMA-β 0.988 (0.944-1.035) 0.622
Glimepiride dose, mg/day 1.598 (0.426-5.997) 0.487
Metformin dose, mg/day 1.000 (0.995-1.005) 0.993

HbA1c, glycated hemoglobin; BMI, body mass index; HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function.

Notes

CONFLICTS OF INTEREST No potential conflict of interest relevant to this article was reported.

References

1. Nathan DM, Buse JB, Davidson MB, Ferrannini E, Holman RR, Sherwin R, Zinman B. American Diabetes Association. European Association for Study of Diabetes. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2009; 32:193–203.
2. Cook MN, Girman CJ, Stein PP, Alexander CM, Holman RR. Glycemic control continues to deteriorate after sulfonylureas are added to metformin among patients with type 2 diabetes. Diabetes Care. 2005; 28:995–1000.
3. Del Prato S, Pulizzi N. The place of sulfonylureas in the therapy for type 2 diabetes mellitus. Metabolism. 2006; 55:5 Suppl 1. S20–S27.
4. Holst JJ, Deacon CF. Inhibition of the activity of dipeptidyl-peptidase IV as a treatment for type 2 diabetes. Diabetes. 1998; 47:1663–1670.
5. Subbarayan S, Kipnes M. Sitagliptin: a review. Expert Opin Pharmacother. 2011; 12:1613–1622.
6. Karasik A, Aschner P, Katzeff H, Davies MJ, Stein PP. Sitagliptin, a DPP-4 inhibitor for the treatment of patients with type 2 diabetes: a review of recent clinical trials. Curr Med Res Opin. 2008; 24:489–496.
7. Wajchenberg BL. Beta-cell failure in diabetes and preservation by clinical treatment. Endocr Rev. 2007; 28:187–218.
8. Little RR, Rohlfing CL, Wiedmeyer HM, Myers GL, Sacks DB, Goldstein DE. NGSP Steering Committee. The national glycohemoglobin standardization program: a five-year progress report. Clin Chem. 2001; 47:1985–1992.
9. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28:412–419.
10. Albareda M, Rodriguez-Espinosa J, Murugo M, de Leiva A, Corcoy R. Assessment of insulin sensitivity and beta-cell function from measurements in the fasting state and during an oral glucose tolerance test. Diabetologia. 2000; 43:1507–1511.
11. Yakubovich N, Gerstein HC. Serious cardiovascular outcomes in diabetes: the role of hypoglycemia. Circulation. 2011; 123:342–348.
12. ACCORD Study Group. Gerstein HC, Miller ME, Genuth S, Ismail-Beigi F, Buse JB, Goff DC Jr, Probstfield JL, Cushman WC, Ginsberg HN, Bigger JT, Grimm RH Jr, Byington RP, Rosenberg YD, Friedewald WT. Long-term effects of intensive glucose lowering on cardiovascular outcomes. N Engl J Med. 2011; 364:818–828.
13. Zoungas S, Patel A, Chalmers J, de Galan BE, Li Q, Billot L, Woodward M, Ninomiya T, Neal B, MacMahon S, Grobbee DE, Kengne AP, Marre M, Heller S. ADVANCE Collaborative Group. Severe hypoglycemia and risks of vascular events and death. N Engl J Med. 2010; 363:1410–1418.
14. Kaiser N, Leibowitz G, Nesher R. Glucotoxicity and beta-cell failure in type 2 diabetes mellitus. J Pediatr Endocrinol Metab. 2003; 16:5–22.
15. Poitout V, Robertson RP. Minireview: secondary beta-cell failure in type 2 diabetes: a convergence of glucotoxicity and lipotoxicity. Endocrinology. 2002; 143:339–342.
16. Matveyenko AV, Dry S, Cox HI, Moshtaghian A, Gurlo T, Galasso R, Butler AE, Butler PC. Beneficial endocrine but adverse exocrine effects of sitagliptin in the human islet amyloid polypeptide transgenic rat model of type 2 diabetes: interactions with metformin. Diabetes. 2009; 58:1604–1615.
17. Han SJ, Choi SE, Kang Y, Jung JG, Yi SA, Kim HJ, Lee KW, Kim DJ. Effect of sitagliptin plus metformin on β-cell function, islet integrity and islet gene expression in Zucker diabetic fatty rats. Diabetes Res Clin Pract. 2011; 92:213–222.
18. Shirakawa J, Amo K, Ohminami H, Orime K, Togashi Y, Ito Y, Tajima K, Koganei M, Sasaki H, Takeda E, Terauchi Y. Protective effects of dipeptidyl peptidase-4 (DPP-4) inhibitor against increased β cell apoptosis induced by dietary sucrose and linoleic acid in mice with diabetes. J Biol Chem. 2011; 286:25467–25476.
19. Arechavaleta R, Seck T, Chen Y, Krobot KJ, O'Neill EA, Duran L, Kaufman KD, Williams-Herman D, Goldstein BJ. Efficacy and safety of treatment with sitagliptin or glimepiride in patients with type 2 diabetes inadequately controlled on metformin monotherapy: a randomized, double-blind, non-inferiority trial. Diabetes Obes Metab. 2011; 13:160–168.
20. Nauck MA, Meininger G, Sheng D, Terranella L, Stein PP. Sitagliptin Study 024 Group. Efficacy and safety of the dipeptidyl peptidase-4 inhibitor, sitagliptin, compared with the sulfonylurea, glipizide, in patients with type 2 diabetes inadequately controlled on metformin alone: a randomized, double-blind, non-inferiority trial. Diabetes Obes Metab. 2007; 9:194–205.
21. Kim WJ, Park CY, Jeong EH, Seo JY, Seol JS, Park SE, Rhee EJ, Lee WY, Oh KW, Park SW, Kim SW. Retrospective analysis on the efficacy, safety and treatment failure group of sitagliptin for mean 10-month duration. Diabetes Metab J. 2011; 35:290–297.
22. Chung HS, Lee MK. Efficacy of sitagliptin when added to ongoing therapy in korean subjects with type 2 diabetes mellitus. Diabetes Metab J. 2011; 35:411–417.
23. Ning F, Tuomilehto J, Pyorala K, Onat A, Söderberg S, Qiao Q. DECODE Study Group. Cardiovascular disease mortality in Europeans in relation to fasting and 2-h plasma glucose levels within a normoglycemic range. Diabetes Care. 2010; 33:2211–2216.
24. Siegelaar SE, Holleman F, Hoekstra JB, DeVries JH. Glucose variability; does it matter? Endocr Rev. 2010; 31:171–182.
25. Esposito K, Cozzolino D, Bellastella G, Maiorino MI, Chiodini P, Ceriello A, Giugliano D. Dipeptidyl peptidase-4 inhibitors and HbA1c target of <7% in type 2 diabetes: meta-analysis of randomized controlled trials. Diabetes Obes Metab. 2011; 13:594–603.
26. Lim S, An JH, Shin H, Khang AR, Lee Y, Ahn HY, Yoon JW, Kang SM, Choi SH, Cho YM, Park KS, Jang HC. Factors predicting therapeutic efficacy of combination treatment with sitagliptin and metformin in type 2 diabetic patients: the COSMETIC study. Clin Endocrinol (Oxf). 2012; 77:215–223.
27. Kim SA, Shim WH, Lee EH, Lee YM, Beom SH, Kim ES, Yoo JS, Nam JS, Cho MH, Park JS, Ahn CW, Kim KR. Predictive clinical parameters for the therapeutic efficacy of sitagliptin in korean type 2 diabetes mellitus. Diabetes Metab J. 2011; 35:159–165.
28. Charbonnel B, Karasik A, Liu J, Wu M, Meininger G. Sitagliptin Study 020 Group. Efficacy and safety of the dipeptidyl peptidase-4 inhibitor sitagliptin added to ongoing metformin therapy in patients with type 2 diabetes inadequately controlled with metformin alone. Diabetes Care. 2006; 29:2638–2643.
29. Aschner P, Kipnes MS, Lunceford JK, Sanchez M, Mickel C, Williams-Herman DE. Sitagliptin Study 021 Group. Effect of the dipeptidyl peptidase-4 inhibitor sitagliptin as monotherapy on glycemic control in patients with type 2 diabetes. Diabetes Care. 2006; 29:2632–2637.
30. Mohan V, Yang W, Son HY, Xu L, Noble L, Langdon RB, Amatruda JM, Stein PP, Kaufman KD. Efficacy and safety of sitagliptin in the treatment of patients with type 2 diabetes in China, India, and Korea. Diabetes Res Clin Pract. 2009; 83:106–116.
31. Krentz AJ, Bailey CJ. Oral antidiabetic agents: current role in type 2 diabetes mellitus. Drugs. 2005; 65:385–411.
32. Anagnostis P, Athyros VG, Adamidou F, Panagiotou A, Kita M, Karagiannis A, Mikhailidis DP. Glucagon-like peptide-1-based therapies and cardiovascular disease: looking beyond glycaemic control. Diabetes Obes Metab. 2011; 13:302–312.
33. Hampp C, Borders-Hemphill V, Moeny DG, Wysowski DK. Use of antidiabetic drugs in the U.S., 2003-2012. Diabetes Care. 2014; 37:1367–1374.
TOOLS
Similar articles