Literature DB >> 33173319

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

Eugene Han1, Minyoung Lee2, Yong-Ho Lee2,3,4, Hye Soon Kim1, Byung-Wan Lee2,3,4, Bong-Soo Cha2,3,4, Eun Seok Kang2,3,4.   

Abstract

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.
© 2020 Han et al.

Entities:  

Keywords:  chronic kidney disease; dipeptidyl peptidase 4 inhibitor; linagliptin; older patients; teneligliptin; type 2 diabetes mellitus

Year:  2020        PMID: 33173319      PMCID: PMC7646502          DOI: 10.2147/DMSO.S267994

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Type 2 diabetes (T2D) has become a pandemic and with the aging population, its prevalence in older individuals is increasing widely.1 In Korea, the prevalence of T2D in older persons (over 65 years) is currently 29.8% and it has been projected that by 2060, it will be 40.1% in this population.2 Additionally, T2D and its complications are an important cause of morbidity and mortality, leading to psychosocial economic burden.3 Dipeptidyl peptidase-4 (DPP-4) inhibitors are incretin-based drugs that increase active endogenous concentrations of glucagon-like peptide-1 (GLP-1), a gut-derived hormone that stimulates insulin secretion and delays gastric emptying.4 DPP-4 inhibitors are associated with a low risk of hypoglycemia and body weight gain and have moderate efficacy in blood glucose control; thus, these drugs are one of the most commonly prescribed. Many clinical studies have shown that DPP-4 inhibitors are less likely to cause hypoglycemia than other agents such as sulfonylureas, which have similar potency.5 One of the major concerns in choosing antidiabetic medication for older patients with T2D is hypoglycemia. Considering their pharmacological action mechanism including glucose-dependent effects, DPP-4 inhibitors would be a good option for members of older populations with T2D. Teneligliptin is a novel DPP-4 inhibitor and its chemical structure comprises five consecutive rings, a phenyl ring on the pyrazole, and an S2 extensive subsite, which magnifies its sensitivity and potency.6 Several studies have shown the clinical efficacy and safety of teneligliptin, both as a monotherapy and dual therapy in combination with other hypoglycemic drugs including metformin, sulfonylureas, and insulin.4,7–10 In addition, teneligliptin can be used in patients with T2D who have renal impairment without the need for dose reduction.11 Another consideration in choosing anti-hyperglycemic agents for older patients with T2D is patient adherence and kidney function. Numerous medications are associated with poor compliance, especially in older individuals.12 To maintain the number of medications, switching those in the same class would be a useful strategy. Multiple DPP-4 inhibitors are now clinically available, wherein each has different chemical structure, inhibitory activity towards DPP-4, and tissue distribution. However, there is limited information regarding the difference in the efficacy among DPP-4 inhibitors. To address this important clinical question, we conducted an exploratory investigation to assess the effect of switching from linagliptin to teneligliptin in older patients with T2D.

Experimental Section

Methods

In this retrospective study, subjects were identified by reviewing patient case notes in the electronic medical records at Severance Hospital, a tertiary university hospital in Korea and Dongsan Medical Center, a tertiary university hospital in Korea. We included 164 patients ≥65 years old with a history of switching from linagliptin to teneligliptin for glycemic control. T2D was defined according to the International Classification of Diseases 10th revision. Only those who had not used teneligliptin in the preceding year were enrolled. Teneligliptin was used for at least 12 weeks. Patients were excluded if they fulfilled any one of the following criteria: (1) kidney transplant or taking immunosuppressant agents; (2) intrinsic renal disease (nephritis or nephrotic syndrome); (3) acute renal failure due to septic shock, contrast agents, or drugs; (4) postrenal disease, (5) added or changed medications except teneligliptin; and (6) had missing baseline clinical or biochemical parameter data. The patients record was anonymized and de-identified prior to analysis. The daily dose of 5 mg linagliptin to 20 mg of teneligliptin was correspondence. The study protocol received ethical approval from the institutional review board at the Yonsei University College of Medicine (4–2016-0154) and Keimyung University School of Medicine (2017–11-034).

Clinical and Laboratory Parameters

We evaluated the effects of glucose parameters presented as fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and postprandial blood glucose (PPBG) before and after switching from linagliptin to teneligliptin. The relationships between medication switching and lipid profile as well as renal function were also analyzed. Estimated glomerular filtration rates (eGFRs) were calculated using the Chronic Kidney Disease Epidemiology Collaboration equation.13 Clinical parameters of age, sex, height, weight, and duration of diabetes were recorded and the body mass index (BMI) was calculated using the following formula: BMI = body weight (kg)/height (m2).

Data Analysis

The primary outcome was glycemic changes following the switch from linagliptin to teneligliptin. Subgroup analyses were stratified by baseline HbA1c (≤8.0% vs >8.0%) according to the American Diabetes Association (ADA) recommendation for older patients,14 or eGFR (≥90 mL/min/1.73m2 [chronic kidney disease, CKD stage 1], 60–89 mL/min/1.73m2 [CKD stage 2], <60 mL/min/1.73m2 [CKD stage 3 or more]). Responders were defined as those exhibiting a ≥ 10% reduction in HbA1c values after 12 weeks of teneligliptin treatment.15

Statistical Analysis

The data are reported as means ± standard deviation (SD), and the actual numbers of participants with the percentages are in parentheses. Simple comparisons of continuous variables within or between sub-groups were made using the Student’s t-tests. Paired data measured at baseline and after switching linagliptin to teneligliptin were compared using paired t-tests. Because total cholesterol, triglyceride, high-density lipoprotein (HDL) cholesterol, and low-density lipoprotein (LDL) cholesterol values were not normally distributed, analyses were performed using log- and back-transformed data. Chi-square tests were used to examine the relationships between multiple variables. The relative factor for teneligliptin was obtained using multiple logistic regression and the benefit is reported as odds ratios (ORs) and 95% confidence intervals (CIs). All statistical analyses were performed using the statistical package for the social sciences (SPSS) software program (SPSS version 25.0, IBM Corp, Armonk, NY, USA). For all tests, P < 0.05 was considered statistically significant.

Results

Subject Clinical Characteristics

Table 1 shows the baseline clinical characteristics of patients and 164 (69 males and 95 females) patients were recruited who had a mean age of 74.5 ± 6.2 years. The mean duration of T2D was 16.0 ± 13.1 years and mean HbA1c value was 7.9 ± 1.3%. The mean eGFR was 60.7 ± 25.0 mL/min/1.73m2 and the proportion of patients with CKD stage 1, 2, and >3 was 14.0%, 35.4%, and 50.6%, respectively. Furthermore, 70.1% of patients had hypertension that was relatively well controlled (mean systolic blood pressure, 129.3 ± 16.4 mmHg, mean diastolic blood pressure, 69.2 ± 10.6 mmHg) and 62.2% of the study population had a prior history of cardiovascular diseases. The anti-hyperglycemic drugs co-administered with DPP-4 inhibitors were metformin (60.4%), sulfonylureas (48.2%), and insulin (29.3%). More than a quarter of these patients were using angiotensin-converting enzyme inhibitors or angiotensin receptor blockers.
Table 1

Baseline Characteristics of Study Population

Age, years74.5 ± 6.2 (70.0–78.8)
Male sex, N (%)69 (42.1)
Duration of type 2 diabetes, years16.0 ± 13.1 (8.1–21.9)
Body mass index, kg/m225.2 ± 3.5 (23.0–27.0)
Systolic blood pressure, mmHg129.3 ± 16.4 (119.0–140.0)
Diastolic blood pressure, mmHg69.2 ± 10.6 (61.0–77.0)
Fasting blood glucose, mg/dl147.8 ± 46.6 (117.0–163.0)
HbA1c, %7.9 ±1.3 (7.1–8.5)
Postprandial blood glucose, mg/dl225.8 ± 78.1 (167.0–276.3)
BUN, mg/dl22.2 ± 14.2 (14.0–26.3)
Creatinine, mg/dl1.3 ± 1.1 (0.8–1.4)
eGFR, mL/min/1.73m260.7 ± 25.0 (40.9–84.0)
CKD stage 1, N (%)23 (14.0)
CKD stage 2, N (%)58 (35.4)
CKD stage 3, N (%)29 (17.7)
CKD stage 4, N (%)36 (22.0)
CKD stage 5, N (%)18 (11.0)
Albumin, mg/dL4.2 ± 0.4 (3.9–4.4)
Total cholesterol, mg/dl153.8 ± 36.7 (128.0–178.0)
Triglyceride, mg/dl143.4 ± 72.6 (89.3–180.9)
HDL cholesterol, mg/dl44.0 ± 14.1 (35.6–50.0)
LDL cholesterol, mg/dl83.7 ± 29.6 (105.9–84.0)
AST, IU/L25.3 ± 11.5 (18.0–29.0)
ALT, IU/L23.6 ± 15.5 (14.0–27.0)
Comorbidities
Hypertension, N (%)115 (70.1)
Cardiovascular disease, N (%)102 (62.2)
Medications, N (%)
Metformin99 (60.4)
SU79 (48.2)
TZD10 (6.1)
Insulin48 (29.3)
Lipid lowering agents110 (67.1)
ACE inhibitor/ARB72 (43.9)
CCB56 (34.1)
Diuretics43 (26.2)

Note: Data are presented as N (%) or mean ± SD (interquartile range).

Abbreviations: HbA1c, glycated hemoglobin A1c; BUN, blood urea nitrogen; eGFR, estimated glomerular filtration rate; CKD, chronic kidney disease; HDL cholesterol, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase; SU, sulfonylurea; TZD, thiazolidinedione; ACE inhibitor, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker.

Baseline Characteristics of Study Population Note: Data are presented as N (%) or mean ± SD (interquartile range). Abbreviations: HbA1c, glycated hemoglobin A1c; BUN, blood urea nitrogen; eGFR, estimated glomerular filtration rate; CKD, chronic kidney disease; HDL cholesterol, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase; SU, sulfonylurea; TZD, thiazolidinedione; ACE inhibitor, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker.

Effects of Switching Linagliptin to Teneligliptin on Hyperglycemia

The glycemic parameters of patients were significantly ameliorated after switching from linagliptin to teneligliptin (FBG, from 148.1 ± 47.1 mg/dL to 139.6 ± 43.4 mg/dL, P = 0.041; HbA1c, from 7.9 ± 1.3% to 7.5 ± 1.2%, P < 0.001; and PPBG, from 224.8 ± 77.4 mg/dL to 205.8 ± 70.8 mg/dL, P = 0.002; Figure 1). Less than half of the study population (42.7%) had difficulty in controlling T2D (baseline HbA1c ≥8.0%). Both uncontrolled and controlled hyperglycemia groups showed improvement in glycemic parameters. However, patients with uncontrolled hyperglycemia showed significantly better responses than patients with controlled T2D did (FBG, from 160.0 ± 60.1 mg/dL to 146.5 ± 50.8 mg/dL, P = 0.085, HbA1c, 9.1 ± 1.1% to 8.2 ± 1.3%, P < 0.001; and PPBG, from 254.8 ± 62.8 mg/dL to 226.6 ± 71.6 mg/dL, P = 0.010; ).
Figure 1

Changes in glycemic parameters after switching to teneligliptin. (A) Fasting blood glucose, (B) postprandial blood glucose, and (C) glycated hemoglobin A1c (HbA1c). Red line indicates trend line.

Changes in glycemic parameters after switching to teneligliptin. (A) Fasting blood glucose, (B) postprandial blood glucose, and (C) glycated hemoglobin A1c (HbA1c). Red line indicates trend line. A total of 141 patients had impaired renal function (eGFR < 90 mL/min/1.73m2) and more than a half of the patients were diagnosed with CKD stage ≥3. Hyperglycemia was attenuated both in patients with normal and impaired renal function (Table 2). However, a significant decline in blood glucose was found only in patients with impaired renal function. In 58 (35.4%) patients with CKD stage 2, FBG was decreased from 154.9 ± 51.4 mg/dL to 137.6 ± 28.1 mg/dL (P = 0.013), HbA1c was decreased from 7.7 ± 1.1% to 7.2 ± 0.9% (P < 0.001), and PPBG was decreased from 214.6 ± 85.1 mg/dL to 188.3 ± 68.0 mg/dL (P = 0.019). Furthermore, 83 (50.6%) patients with impaired renal function (CKD stage ≥3) experienced significant decline in HbA1c (from 8.2 ± 1.5% to 7.7 ± 0.9%, P=0.002) while 44 (26.8%) patients experienced >10% decline in HbA1c and were identified as the teneligliptin response group.
Table 2

Changes in Glycemic Parameters by Chronic Kidney Disease Stages

ParametersBefore SwitchingAfter SwitchingΔP value
CKD stage 1 (N=23)
Fasting blood glucose, mg/dl131.0 ± 26.2138.3 ± 36.97.3 ± 48.60.482
HbA1c, %7.7 ± 0.87.5 ± 0.9−0.2 ± 0.80.244
Postprandial blood glucose, mg/dl225.2 ± 83.6203.2 ± 66.4−22.0 ± 68.20.156
CKD stage 2 (N=58)
Fasting blood glucose, mg/dl154.9 ± 51.4137.6 ± 38.1−17.3 ± 50.00.013
HbA1c, %7.7 ± 1.17.3 ± 0.9−0.5 ± 0.7<0.001
Postprandial blood glucose, mg/dl214.6 ± 85.1188.3 ± 68.0−26.2 ± 77.40.019
CKD stage 3- (N=83)
Fasting blood glucose, mg/dl147.8 ± 47.5141.3 ± 48.4−6.6 ± 53.60.275
HbA1c, %8.2 ± 1.57.7 ± 1.4−0.4 ± 1.20.002
Postprandial blood glucose, mg/dl231.8 ± 70.0218.8 ± 72.0−13.0 ± 72.40.129

Note: Data are presented as N (%) or mean ± SD.

Abbreviations: HbA1c, glycated hemoglobin A1c; CKD, chronic kidney disease.

Changes in Glycemic Parameters by Chronic Kidney Disease Stages Note: Data are presented as N (%) or mean ± SD. Abbreviations: HbA1c, glycated hemoglobin A1c; CKD, chronic kidney disease. There were no significant differences in geodemographic parameters at baseline (Table 3). However, the teneligliptin response group had a higher baseline blood glucose, lower triglyceride level, and a higher proportion of insulin users than the non-response group did. Multivariable analysis showed that a higher baseline HbA1c was associated with a better response to teneligliptin (OR = 2.44, 95% CI 1.63–3.67, P < 0.001). However, the use of lipid-lowering agents and a higher triglyceride level was linked to reduced response to teneligliptin (OR = 0.40, 95% CI 0.17–0.97, P = 0.042 for lipid-lowering agent users, and OR = 0.34, 95% CI 0.14–0.82, P = 0.016 for triglyceride, Table 4).
Table 3

Comparison of Response to Teneligliptin Switching

Non-Responder (N=120)Responder (N=44)P value
Age, years74.4 ± 6.174.9 ± 6.60.627
Male sex, N (%)46 (38.3)23 (52.3)0.109
Duration of type 2 diabetes, years15.3 ± 13.718.0 ± 11.10.245
Body mass index, kg/m225.3 ± 3.625.0 ± 3.10.661
Fasting blood glucose, mg/dl, baseline142.9 ± 41.0160.8 ± 57.50.064
Fasting blood glucose, mg/dl, after switching141.2 ± 37.9135.0 ± 56.0**0.428
HbA1c, %, baseline7.6 ± 1.18.9 ± 1.4<0.001
HbA1c, %, after switching7.6 ± 1.37.3 ± 1.0**0.118
Postprandial blood glucose, mg/dl, baseline220.3 ± 76.2240.3 ± 82.20.163
Postprandial blood glucose, mg/dl, after switching199.2 ± 68.0**222.8 ± 74.70.089
eGFR, mL/min/1.73m2, baseline64.7 ± 24.559.4 ± 29.10.173
eGFR, mL/min/1.73m2, after switching60.1 ± 22.254.4 ± 28.80.242
Total cholesterol, mg/dl, baseline*161.2 ± 39.0145.5 ± 30.50.122
Total cholesterol, mg/dl, after switching*152.8 ± 37.0**152.6 ± 48.90.696
Triglyceride, mg/dl, baseline*159.0 ± 75.3120.8 ± 61.50.007
Triglyceride, mg/dl, after switching*154.7 ± 74.0126.7 ± 53.30.017
HDL cholesterol, mg/dl, baseline*43.0 ± 10.945.6 ± 17.10.789
HDL cholesterol, mg/dl, after switching*42.7 ± 10.046.3 ± 20.10.672
LDL cholesterol, mg/dl, baseline*87.4 ± 32.680.6 ± 23.10.740
LDL cholesterol, mg/dl, after switching*78.4 ± 31.3**80.4 ± 36.50.914
Medications, N (%)
Metformin77 (64.2)22 (50.0)0.100
SU54 (45.0)25 (56.8)0.180
TZD6 (5.0)4 (9.1)0.332
Insulin30 (25.0)18 (40.9)0.047
Statin85 (70.8)25 (56.8)0.091

Notes: Data are presented as N (%) or mean ± SD. *Log transformed. **P<0.05 compared with baseline.

Abbreviations: HbA1c, glycated hemoglobin A1c; BUN, blood urea nitrogen; eGFR, estimated glomerular filtration rate; CKD, chronic kidney disease; HDL cholesterol, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase; SU, sulfonylurea; TZD, thiazolidinedione; ACE inhibitor, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker.

Table 4

Multiple Regression Analysis to Determine Variables Associated Responders of Switching to Teneligliptin

OR95% CIP value
Age, year1.000.93–1.070.947
Sex, male1.100.46–2.620.832
Body mass index, kg/m20.990.87–1.130.927
Duration of type 2 diabetes, year0.880.97–1.030.880
Baseline HbA1c, %2.441.62–3.67<0.001
Triglyceride, baseline, mg/dl*0.340.14–0.820.016
LDL cholesterol, mg/dl*0.950.30–3.100.954
CKD stage 3 or more0.970.41–2.590.929
Lipid lowering agent use0.400.17–0.970.042
Insulin use0.990.34–2.990.989

Note: *log-transformed.

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; HbA1c, glycated hemoglobin A1c; LDL cholesterol, low-density lipoprotein cholesterol; CKD, chronic kidney disease.

Comparison of Response to Teneligliptin Switching Notes: Data are presented as N (%) or mean ± SD. *Log transformed. **P<0.05 compared with baseline. Abbreviations: HbA1c, glycated hemoglobin A1c; BUN, blood urea nitrogen; eGFR, estimated glomerular filtration rate; CKD, chronic kidney disease; HDL cholesterol, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase; SU, sulfonylurea; TZD, thiazolidinedione; ACE inhibitor, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker. Multiple Regression Analysis to Determine Variables Associated Responders of Switching to Teneligliptin Note: *log-transformed. Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; HbA1c, glycated hemoglobin A1c; LDL cholesterol, low-density lipoprotein cholesterol; CKD, chronic kidney disease.

Effects of Switching Linagliptin to Teneligliptin on Metabolic Parameters

At enrollment, 67.1% of the patients used lipid-lowering agents. Serum LDL cholesterol levels were significantly decreased from 85.6 ± 30.2 mg/dL to 78.9 ± 32.7 mg/dL (P = 0.004), and there were no significant changes in total cholesterol, triglyceride, and HDL cholesterol levels after switching from linagliptin to teneligliptin. The renal function and liver enzymes were conserved (Table 5).
Table 5

Changes in Metabolic Parameters After Switching to Teneligliptin

ParametersBaselineAfter SwitchingΔP value
eGFR, mL/min/1.73m260.1 ± 24.958.6 ± 24.1−1.5 ± 11.70.109
Total cholesterol, mg/dL*156.9 ± 37.4152.7 ± 40.5−4.2 ± 41.80.128
Triglycerides, mg/dL*148.8 ± 73.7147.3 ± 70.0−1.5 ± 62.10.837
HDL cholesterol, mg/dl*43.7 ± 12.843.7 ± 13.50.1 ± 13.10.951
LDL cholesterol, mg/dl*85.6± 30.278.9 ± 32.7−6.6 ± 34.30.004
AST, IU/L*25.4 ± 11.625.5 ±13.90.1 ± 11.80.475
ALT, IU/L*23.7 ± 15.722.1 ± 14.6−1.6 ± 12.90.065

Notes: Data are presented mean ± SD. *log-transformed.

Abbreviations: eGFR, estimated glomerular filtration rate; HDL cholesterol, high-density lipoprotein cholesterol, LDL cholesterol; low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase.

Changes in Metabolic Parameters After Switching to Teneligliptin Notes: Data are presented mean ± SD. *log-transformed. Abbreviations: eGFR, estimated glomerular filtration rate; HDL cholesterol, high-density lipoprotein cholesterol, LDL cholesterol; low-density lipoprotein cholesterol; AST, aspartate transaminase; ALT, alanine transferase.

Discussion

The major finding of this study is that switching from linagliptin to teneligliptin may facilitate the control of hyperglycemia in older patients with T2D. Specifically, switching to teneligliptin reduced hyperglycemia in patients with impaired renal function while maintaining their eGFR, indicating the renoprotective effect of teneligliptin. In addition, the effects were greater in patients with uncontrolled than in those with controlled hyperglycemia independent of other contributing factors including age, sex, duration of T2D, and insulin use. Guidelines of both the Korean Diabetes Association and ADA recommend the combination or supplementation of other classes of anti-hyperglycemic agents to achieve glycemic targets.16,17 In addition to achieving the glycemic goal, maintaining glucose levels without inducing hypoglycemia is important and, therefore, guidelines emphasize an individualized glycemic target considering life expectancy, complications of T2D, and advanced age. Those factors are more prevalent in the older population and older patients are more vulnerable to hypoglycemia.18 In addition, an increase in the number of medications reduces patient adherence and supplementation with other hypoglycemic agent increases the possibility of drug interactions and side effects as well as medical costs. Consequently, switching agents from the same class of anti-hyperglycemic agents would be a reasonable and relatively safe strategy, and would provide an alternative therapeutic option. In this study, we provide clinical evidence to show that switching agents in the same drug class could be a viable option before considering adding drugs from other classes. Moreover, our data showed a more potent glucose-lowering effect in patients with uncontrolled hyperglycemia than in those with controlled hyperglycemia. The difference in binding site and affinity of the receptor site is possibly associated with the efficacy of switching from linagliptin to teneligliptin in blood glucose control. DPP-4 inhibitors are categorized according to their binding site and teneligliptin is classified as a class 3 agent, whereas linagliptin is characterized as class 2.19 Teneligliptin has a unique J-shape structure formed by five rings directly connected and the loss of entropy is small at the binding site. Teneligliptin is a peptide mimetic and the carbonyl group forms a hydrogen bond at the binding site, strengthening the binding interaction.20 In addition, the anchor lock domain ([1-phenylpyrazol-5-yl] piperazine moiety) makes teneligliptin to bind more tightly to the DPP-4 enzyme than other gliptins ands well as enhances the selectivity of the binding.20 The long endurance and strong binding affinity of teneligliptin to the DPP-4 enzyme makes it more potent, and it further decreases blood glucose levels when patients switched to this agent. Teneligliptin, which is also a class 3 DPP-4 inhibitor, increased activated GLP-1 levels more than sitagliptin did, as reported in a Japanese pilot study.21 Moreover, recent studies demonstrated that teneligliptin rescues endothelial cell viability through the ERK5/KLF2 signaling pathway.22,23 However, it would still be necessary to investigate whether the differences in binding modes between teneligliptin and other DPP-4 inhibitors are clinically meaningful. In glycemic control, DPP-4 inhibitors generally decrease HbA1c levels (0.5–1.0%) and the efficacy among DPP-4 inhibitors is similar.4,24–26 However, the effect of switching between DPP-4 inhibitors has been scantly studied and studies have reported conflicting results according to the type of DPP-4 inhibitor. A retrospective study conducted in the UK demonstrated that the changes in HbA1c after switching to alogliptin were insignificant.27 However, a recent prospective study showed a positive result in switching to teneligliptin.28 The additional 0.4% reduction in HbA1c levels observed in the present study was comparable to that previously reported,28 although the baseline characteristics of the patients were different from those of our study. Our results showed that the effect of switching to teneligliptin was favorable in older patients with impaired renal function and long T2D duration, suggesting the efficacy was comparable to that in a younger population and those with normal kidney function. More head-to-head, comparative trials are needed to confirm the glycemic efficacy in changing DPP-4 inhibitors. In addition to glucose-lowering effects, numerous studies have suggested that DPP-4 inhibitors have a pleiotropic effect on other organs including the kidney and blood vessels.29–31 The potential protective effects or inhibitory actions of these agents against the progression of diabetic kidney disease are mediated through anti-inflammatory, antioxidative, and anti-fibrotic activities.31–34 Among DPP4 inhibitors, the renoprotective effect of linagliptin has been well studied and dose reduction is not required in patients with CKD.33–35 Both teneligliptin and linagliptin have higher lipophilicity and greater distribution in the kidney than that of other DPP4 inhibitors.36 Additionally, a pilot study showed a more significant reduction in DPP-4 activity of both teneligliptin and linagliptin than that of other DPP-4 inhibitors, and failed to demonstrate any distinction between teneligliptin and linagliptin.37 Our results did not show any statistical significance in changes of eGFR after patients switched to teneligliptin; however, a significant reduction in HbA1c occurred only in patients with impaired renal function. This observation suggests the comparable renoprotective effect of linagliptin, indicating that switching to teneligliptin might be beneficial for T2D patients with CKD. Our results are in accordance with a previous meta‐analysis showing that baseline HbA1c is the strongest predictor of responses to DPP-4 inhibitors.24,25 However, we unexpectedly discovered the lipid-lowering use and found that higher triglyceride concentrations are associated with a lower response following switching to teneligliptin. Although we did not find any association between teneligliptin response and BMI, other studies showed that an insulin-resistant state could reduce responses to DPP-4 inhibitors. In a cohort study in the UK, obesity (≥30 kg/m2 BMI) and increased triglyceride markedly reduced glycemic response and durability of DPP-4 inhibitor therapy.38 A Japanese study reported similar results that the average triglyceride level was an independent factor contributing to the efficacy of DPP-4 inhibitor in obese patients.39 Lipotoxicity disrupts cell-to-cell communication in incretin-sensitive beta cells, impairing GLP-1 response, thus, altering insulin secretion.40 In addition, fatty acid mediates downregulation of the expression of connexin 36, an integral membrane protein cluster at gap junction domains of beta-cell membranes.41 The experimental data suggest that alterations of this signaling impair beta-cells connectivity. Our study has a few limitations that are worth mentioning. First, because it was a retrospective investigation, some confounders might have influenced glycemic control other than anti-hyperglycemic medications. Although the patients were prescribed the same number of medications, they exhibited hyperglycemia; thus, there might be some attempt to improve this condition. Second, we did not include a control group. Further head-to-head studies are needed to elucidate the difference in glycemic control among DPP-4 inhibitors. Additionally, we did not investigate the outcome of switching from teneligliptin to linagliptin. Third, medication compliance was not fully considered in the present study. Because this was not a prospective study, we could not assess adherence to prescribed medications. The study data were based on the proposition that all the prescribed medications were administered to the patients. In conclusion, our findings demonstrate that switching from linagliptin to teneligliptin in older patients with T2D ameliorated blood glucose levels and preserved kidney function. This suggests that switching DPP-4 inhibitors, especially to teneligliptin, could be a therapeutic option to control hyperglycemia in difficult-to-treat T2D. However, further randomized trials are needed to quantify this beneficial effect in switching to teneligliptin compared to other DPP4 inhibitors and control groups.
  40 in total

1.  Efficacy and safety of teneligliptin added to glimepiride in Japanese patients with type 2 diabetes mellitus: a randomized, double-blind, placebo-controlled study with an open-label, long-term extension.

Authors:  T Kadowaki; K Kondo
Journal:  Diabetes Obes Metab       Date:  2013-12-10       Impact factor: 6.577

2.  Efficacy and safety of teneligliptin add-on to insulin monotherapy in Japanese patients with type 2 diabetes mellitus: a 16-week, randomized, double-blind, placebo-controlled trial with an open-label period.

Authors:  Takashi Kadowaki; Kazuoki Kondo; Noriyuki Sasaki; Kyoko Miyayama; Shoko Yokota; Ryuji Terata; Maki Gouda
Journal:  Expert Opin Pharmacother       Date:  2017-08-10       Impact factor: 3.889

3.  Discovery and preclinical profile of teneligliptin (3-[(2S,4S)-4-[4-(3-methyl-1-phenyl-1H-pyrazol-5-yl)piperazin-1-yl]pyrrolidin-2-ylcarbonyl]thiazolidine): a highly potent, selective, long-lasting and orally active dipeptidyl peptidase IV inhibitor for the treatment of type 2 diabetes.

Authors:  Tomohiro Yoshida; Fumihiko Akahoshi; Hiroshi Sakashita; Hiroshi Kitajima; Mitsuharu Nakamura; Shuji Sonda; Masahiro Takeuchi; Yoshihito Tanaka; Naoko Ueda; Sumie Sekiguchi; Takayuki Ishige; Kyoko Shima; Mika Nabeno; Yuji Abe; Jun Anabuki; Aki Soejima; Kumiko Yoshida; Yoko Takashina; Shinichi Ishii; Satoko Kiuchi; Sayaka Fukuda; Reiko Tsutsumiuchi; Keigo Kosaka; Takahiro Murozono; Yoshinobu Nakamaru; Hiroyuki Utsumi; Naoya Masutomi; Hiroyuki Kishida; Ikuko Miyaguchi; Yoshiharu Hayashi
Journal:  Bioorg Med Chem       Date:  2012-08-17       Impact factor: 3.641

Review 4.  9. Pharmacologic Approaches to Glycemic Treatment: Standards of Medical Care in Diabetes-2020.

Authors: 
Journal:  Diabetes Care       Date:  2020-01       Impact factor: 19.112

Review 5.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

6.  Linagliptin and its effects on hyperglycaemia and albuminuria in patients with type 2 diabetes and renal dysfunction: the randomized MARLINA-T2D trial.

Authors:  Per-Henrik Groop; Mark E Cooper; Vlado Perkovic; Berthold Hocher; Keizo Kanasaki; Masakazu Haneda; Guntram Schernthaner; Kumar Sharma; Robert C Stanton; Robert Toto; Jessica Cescutti; Maud Gordat; Thomas Meinicke; Audrey Koitka-Weber; Sandra Thiemann; Maximilian von Eynatten
Journal:  Diabetes Obes Metab       Date:  2017-07-31       Impact factor: 6.577

7.  Inadequate Triglyceride Management Worsens the Durability of Dipeptidyl Peptidase-4 Inhibitor in Subjects with Type 2 Diabetes Mellitus.

Authors:  Masashi Shimoda; Maiko Miyoshi-Takai; Shintaro Irie; Akihito Tanabe; Atsushi Obata; Seizo Okauchi; Hidenori Hirukawa; Tomohiko Kimura; Kenji Kohara; Shinji Kamei; Tomoatsu Mune; Kohei Kaku; Hideaki Kaneto
Journal:  J Diabetes Res       Date:  2017-05-25       Impact factor: 4.011

8.  A genetic variant in GLP1R is associated with response to DPP-4 inhibitors in patients with type 2 diabetes.

Authors:  Eugene Han; Hye Sun Park; Obin Kwon; Eun Yeong Choe; Hye Jin Wang; Yong-Ho Lee; Sang-Hak Lee; Chul Hoon Kim; Lee-Kyung Kim; Soo Heon Kwak; Kyong Soo Park; Chul Sik Kim; Eun Seok Kang
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

9.  Retrospective Database Analysis Evaluating the Clinical Outcomes of Changing Treatment of People with Type 2 Diabetes Mellitus (T2DM) from Other DPP-4 Inhibitor Therapy to Alogliptin in a Primary Care Setting.

Authors:  W David Strain; Phil McEwan; Heena Howitt; Simon Meadowcroft
Journal:  Diabetes Ther       Date:  2019-07-01       Impact factor: 2.945

10.  Lipotoxicity disrupts incretin-regulated human β cell connectivity.

Authors:  David J Hodson; Ryan K Mitchell; Elisa A Bellomo; Gao Sun; Laurent Vinet; Paolo Meda; Daliang Li; Wen-Hong Li; Marco Bugliani; Piero Marchetti; Domenico Bosco; Lorenzo Piemonti; Paul Johnson; Stephen J Hughes; Guy A Rutter
Journal:  J Clin Invest       Date:  2013-09-09       Impact factor: 14.808

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