Efficacy and Safety of Switching to Teneligliptin in Patients with Type 2 Diabetes Inadequately Controlled with Dipeptidyl Peptidase-4 Inhibitors: A 12-Week Interim Report

Comparison of teneligliptin and other gliptin-based regimens in addressing insulin resistance and glycemic control in type 2 diabetic patients: a cross-sectional study

INTRODUCTION

The objective of this study was to compare the effects of teneligliptin-based regimens and other gliptin-based regimens with respect to insulin resistance and glycemic control in patients with type 2 diabetes mellitus (T2DM).

METHODS

We enrolled T2DM subjects, inadequately controlled with metformin and glimepiride and taking one of the gliptins, and divided them into two groups, i.e. group 1 (teneligliptin-based regimens) and group 2 (other gliptin-based regimens). Fasting plasma insulin, adiponectin levels, homeostatic model assessment for insulin resistance (HOMA-IR), glycated hemoglobin (HbA1c), and fasting blood glucose (FBG) were measured and compared. Costs of different gliptins were noted, and mean cost of per day therapy was compared.

RESULTS

Eighty-six subjects participated in this study (43 each in group 1 and group 2). No significant differences were observed in FBG, HbA1c, insulin levels, and HOMA-IR, but the trend was in favor of teneligliptin-based regimens. A significantly higher number of subjects achieved HbA1c target in group 1 (P < 0.001). Teneligliptin had significantly lower cost of per day therapy as compared to other dipeptidyl peptidase-4 inhibitors.

CONCLUSION

Teneligliptin seems to be cost-effective and safer option in T2DM subjects who were not adequately controlled with metformin and sulfonylureas. However, further prospective studies are needed.

Finding the most cost-effective option from commonly used Dipeptidyl peptidase-4 inhibitors in India: a systematic study

OBJECTIVE

To identify a preferred and cost-effective drug among Dipeptidyl peptidase-4 inhibitors (DPP4Is) for Indian patients with T2DM.

METHODS

We performed a systematic literature search using standard databases for relevant literature. Original studies comparing the efficacy and/or safety of different DPP4Is were included. Two authors independently performed the literature search, screening, and collected relevant data from the selected studies. The costs of all brands of individual DPP4Is were noted and compared for lowest, highest, and average cost. Finally, we summarized the information with respect to Efficacy, safety, suitability, and cost to find the most cost-effective DPP4I.

RESULTS

We found 13 eligible studies containing data on 15,720 subjects. These studies showed similar efficacy (or better) and safety with teneligliptin as compared to other DPP4Is. Teneligliptin also showed additional benefits other than the glycemic control. The average cost per tablet of teneligliptin 20 mg was markedly lower as compared to sitagliptin, vildagliptin, and other commonly used DPP4Is. Teneligliptin also outscored other commonly used DPP4Is in India in suitability and seems to have better patient compliance.

CONCLUSIONS

Teneligliptin 20 mg could be considered as the preferred and most cost-effective agent among commonly used DPP4Is for the effective management of patients with T2DM in India.

Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study

INTRODUCTION

The effects of switching DPP-4 inhibitors in type 2 diabetes mellitus (T2DM) patients are being widely studied. However, information of which factors affect the therapeutic response is limited. We evaluated the difference in HbA1c lowering effect by comorbidity and other variables after switching to anagliptin in patients with T2DM inadequately controlled by other DPP-4 inhibitors.

METHODS

In a multicenter, open-label, single-arm, prospective observational study, patients with T2DM, HbA1c ≥ 7.0% who have taken DPP-4 inhibitors other than anagliptin, either alone or in combination (DPP-4 inhibitors + metformin/sulfonylurea (SU)/thiazolidinedione (TZD)/insulin), for at least 8 weeks were enrolled. After the switch to anagliptin, HbA1c and available clinical characteristics were determined.

RESULTS

The change in HbA1c levels from baseline to week 12 and 24 was - 0.40% and - 0.42% in all patients. However, comparing the subgroups without and with comorbidities, the change in HbA1c levels at weeks 12 and 24 was - 0.68% and - 0.89% vs. - 0.27% and 0.22%, respectively. In addition, the proportion of patients achieving HbA1c < 7% from baseline to week 12 and 24 was increased to 70% and 70% vs. 20% and 24%, respectively. Duration of T2DM and different subtype classes of DPP-4 inhibitor did not significantly contribute to the change in HbA1c.

CONCLUSION

In patients with T2DM poorly controlled by other DPP-4 inhibitors, HbA1c levels were significantly decreased after switching to anagliptin. Given that the change in HbA1c was greater in patients without comorbidities than in patients with comorbidities, switching to anagliptin before adding other oral hypoglycemic agents (OHAs) may be an option in patients without comorbidities.

Efficacy and Safety of Switching to Teneligliptin in Patients with Type 2 Diabetes Inadequately Controlled with Dipeptidyl Peptidase-4 Inhibitors: 52-Week Results from a Prospective Observational Study

INTRODUCTION

The aim of this study was to assess the efficacy and safety of switching to teneligliptin from other dipeptidyl peptidase-4 (DPP-4) inhibitors in patients with type 2 diabetes mellitus (T2DM) inadequately controlled despite treatment with a stable dose of other DPP-4 inhibitors.

METHODS

Patients with glycosylated hemoglobin (HbA1c) ≥ 7% despite taking DPP-4 inhibitors other than teneligliptin, with or without other antidiabetic agents, for at least 3 months were enrolled in this study. Patients on DPP-4 inhibitors administered prior to participation in this study were switched to 20 mg teneligliptin once daily and the dose was maintained for the 52-week study period. The primary endpoint was the change in HbA1c at week 12. Fasting plasma glucose (FPG) and the blood lipid profile were also evaluated. Adverse events were monitored for safety assessment.

RESULTS

At weeks 12, 24, and 52, the HbA1c values significantly decreased by - 0.39, - 0.44, and - 0.52%, respectively, compared to the baseline value (p < 0.0001); in addition, 56.3, 60.3, and 62.3% of patients, respectively, achieved decreases in HbA1c of at least 0.3%, and 40.1, 46.5, and 52.4% of patients, respectively, achieved decreases in HbA1c of at least 0.5%. The proportion of the patient population achieving HbA1c < 7.0% increased throughout the study period, reaching 30.4, 35.4, and 36.9% at weeks 12, 24, and 52, respectively; at these same time points, the percentage of patients achieving HbA1c < 6.5% increased to 9.5, 11.9, and 13.2% of the total study population. FPG levels and lipid parameters were also significantly decreased after teneligliptin treatment. There were no significant safety concerns.

CONCLUSION

Our results suggest the significant glucose-lowering effect of teneligliptin after switching from other DPP-4 inhibitors in patients with T2DM. The improvement in glycemic control was maintained for up to 52 weeks without safety concerns.

Effect of Switching from Linagliptin to Teneligliptin Dipeptidyl Peptidase-4 Inhibitors in Older Patients with Type 2 Diabetes Mellitus

INTRODUCTION

Dipeptidyl peptidase-4 (DPP-4) inhibitors are widely prescribed for type 2 diabetes (T2D) and their glycemic control effects are well studied. However, information regarding the effects of switching DPP-4 inhibitors is limited, especially in older patients.

RESEARCH DESIGN AND METHODS

We investigated whether switching from linagliptin to teneligliptin decreases blood glucose in older (≥65 years) T2D patients. In total, 164 patients with T2D who switched from linagliptin to teneligliptin for >12 weeks were included and the primary outcome was glycemic changes.

RESULTS

Switching from linagliptin to teneligliptin ameliorated fasting blood glucose (148.1 ± 47.1 to 139.6 ± 43.4 mg/dL), glycated hemoglobin (HbA1c; 7.9 ± 1.3 to 7.5 ± 1.2%), and postprandial blood glucose (224.8 ± 77.4 to 205.8 ± 70.8 mg/dL) levels (all P < 0.05). Low-density lipoprotein cholesterol concentration was reduced while liver and kidney functions were maintained. Subgroup analysis showed that glucose control improved more in patients with uncontrolled hyperglycemia (HbA1c > 8.0%) and chronic kidney disease (estimated glomerular filtration rate <90 mL/min/1.73m2). Multiple logistic analysis indicated higher baseline HbA1c was the strongest predictor of teneligliptin switching response.

CONCLUSION

Switching from linagliptin to teneligliptin helps maintain kidney function and reduce blood glucose safely in older patients with T2D.

High-Throughput Algorithm for Discovering New Drug Indications by Utilizing Large-Scale Electronic Medical Record Data

Drug repositioning is an effective way to mitigate the production problem in the pharmaceutical industry. Electronic medical record (EMR) databases harbor a large amount of data on drug prescriptions and laboratory test results and may thus be useful for finding new indications for existing drugs. Here, we present a novel high-throughput data-driven algorithm that identifies and prioritizes drug candidates that show significant effects on specific clinical indicators by utilizing large-scale EMR data. We chose four laboratory tests as clinical indicators: hemoglobin A1c (HbA1c), low-density lipoprotein (LDL) cholesterol, triglycerides (TGs), and high-density lipoprotein (HDL) cholesterol. From a 5-year EMR database, we generated datasets consisting of paired data with averaged measurement values during on and off each drug in each patient, adjusted for co-administered drug effects at each timepoint, and applied one sample t-test with the Bonferroni correction for statistical analysis. Among 1,774 drugs, 45 were associated with increases in HDL cholesterol, and 41, 146, and 65 were associated with reductions in HbA1c, LDL cholesterol, and TGs, respectively. We compared the list of candidate drugs with that of drugs indicated for relevant clinical conditions and found that the algorithm had high values for both sensitivity (range 0.95-1.00) and negative predictive value (range 0.95-1.00). Our algorithm was able to rediscover well-known drugs that are used for diabetes and dyslipidemia while revealing potential candidates without current indications but have shown promising results in the literature. Our algorithm may facilitate the repositioning of drugs with proven safety profiles.