Literature DB >> 30344819

Effects of Repaglinide Versus Glimepiride on 1,5-Anhydroglucutol and Glycated Hemoglobin Levels in Japanese Patients With Type 2 Diabetes.

Hodaka Yamada1, Masafumi Kakei1, Kazuo Hara1.   

Abstract

BACKGROUND: Postprandial hyperglycemia is a well-known risk factor for cardiovascular disease. We prospectively examined the effects of repaglinide on postprandial hyperglycemia in patients with type 2 diabetes.
METHODS: During this 24-week, single-arm, prospective study, we enrolled 10 patients with type 2 diabetes who were previously being administered glimepiride (0.5 or 1 mg/day) and switched it with repaglinide (0.75 or 1.5 mg/day). Changes in their metabolic parameters were evaluated at the end of the study period.
RESULTS: After replacing glimepiride with repaglinide, increases were observed in 1,5-anhydroglucitol levels (baseline, 5.46 ± 1.96 versus 24 weeks, 9.15 ± 4.48 µg/mL, P = 0.004) but not in glycated hemoglobin levels (baseline, 7.7 ± 0.5 versus 24 weeks, 7.4 ± 0.6%, P = 0.100). Body weight remained unchanged.
CONCLUSION: Compared with glimepiride, repaglinide improved 1,5-anhydroglucitol levels but had no effect on glycated hemoglobin. This suggests that repaglinide is a useful option for treating postprandial hyperglycemia.

Entities:  

Keywords:  1,5-anhydroglucitol; Glinide; Postprandial hyperglycemia; Sulfonylurea; Type 2 diabetes

Year:  2018        PMID: 30344819      PMCID: PMC6188029          DOI: 10.14740/jocmr3618w

Source DB:  PubMed          Journal:  J Clin Med Res        ISSN: 1918-3003


Introduction

Several epidemiological studies have identified postprandial hyperglycemia as a well-known risk factor for cardiovascular diseases [1-3]. Specifically, postprandial hyperglycemia generates oxidative stress and consequently causes endothelial cell injury and dysfunction, which is important to both initiation and progression of atherosclerosis [4, 5]. Previous clinical studies involving continuous glucose monitoring (CGM) revealed that compared with fasting glucose level, postprandial glucose level was a greater contributor to HbA1c among patients with glycated hemoglobin (HbA1c) levels < 8% [6, 7]. Further studies identified 1,5-anhydroglucitol (1,5-AG) as a useful biomarker for postprandial hyperglycemia [8, 9] and for the efficacy of antihyperglycemic agents used to improve postprandial hyperglycemia [10]. Diabetes and its complications affect the anti-diabetic agent selection, for example, renal impairment, liver function, risks of hypoglycemia, and macro- or microangiopathy. Glinides are antihyperglycemic agents that enhance early-phase postprandial insulin secretion and improve postprandial hyperglycemia. However, few reports have evaluated the efficacy of repaglinide using 1,5-AG levels. Repaglinide, a member of the glinide class, is metabolized in the liver (CYP3A4 and CYP2C8) and excreted through the bile [11]. The major metabolites of repaglinide have no glucose-lowering effect [11]. Repaglinide is useful for the management of postprandial hyperglycemia. Therefore, in the present study, 1,5-AG was used to prospectively examine the effects of repaglinide in patients with type 2 diabetes who switched from glimepiride, a major sulfonylurea drug, to repaglinide.

Patients and Methods

Patients and study design

The current study was approved by the Ethics Committee of the Jichi Medical University, Japan (No. 12-51); written informed consent in accordance with the Declaration of Helsinki was obtained from all patients. This 24-week, single-arm, prospective study was conducted between January 2013 and January 2014. The following inclusion criteria were considered for enrollment in this study: 1) patients aged > 20 years and having type 2 diabetes and 2) patients prescribed treatment comprising glimepiride (0.5 or 1 mg/day). Additionally, the following criteria were considered for exclusion from the study: 1) diabetic ketoacidosis or hyperosmolar hyperglycemic syndrome, 2) infectious diseases, 3) any malignancy during treatment, 4) worsening diabetes or progressive diabetic complication (e.g. progressive retinopathy and nephropathy), 5) pregnancy, 6) acute coronary syndrome within 8 weeks prior to study enrollment and 7) recent changes in anti-diabetic drug therapy (within 8 weeks). The study protocol is depicted in Figure 1. After recruitment, the body mass index (BMI), HbA1c level, random plasma glucose level, serum C-peptide immunoreactivity (CPR), 1,5-AG level and estimated glomerular filtration rate (eGFR) at baseline were determined for each patient. Subsequently, the ongoing glimepiride regimen was switched with repaglinide (0.75 or 1.5 mg/day). The patients’ metabolic parameters were recorded at the end of the study period. No antihyperglycemic agents were changed during the study period. Dieticians instructed all patients to follow diet therapy before the commencement of this study in accordance with Japanese Clinical Practice Guideline for Diabetes [12]. The primary and secondary study endpoints were the changes in the 1,5-AG and HbA1c levels, respectively.
Figure 1

Study protocol. Japanese patients with type 2 diabetes were enrolled and followed-up for 24 weeks after switching from glimepiride to repaglinide. Clinical metabolic parameters were measured and recorded at weeks 0 (baseline) and 24.

Study protocol. Japanese patients with type 2 diabetes were enrolled and followed-up for 24 weeks after switching from glimepiride to repaglinide. Clinical metabolic parameters were measured and recorded at weeks 0 (baseline) and 24.

Data collection

CPR was measured using an enzyme immunoassay (TOHSO, Tokyo, Japan). The serum levels of 1,5-AG were measured by SRL Inc. (Tokyo, Japan). Renal function was determined by calculating eGFR; this calculation was based on the modification of the renal disease equation, which was revised by the Japanese Society of Nephrology for the Japanese population. The equation is as follows: eGFR (mL/min/1.73 m2) = 194 × serum creatinine (mg/dL)-1.094 × age-0.287 × 0.739 (if female) [13]. Delta (Δ) 1,5-AG was calculated the following equation: Δ1,5-AG = after switching 1,5-AG - baseline 1,5-AG.

Statistical analysis

Data are expressed as mean ± standard deviation, and skewed variables are expressed as medians with interquartile ranges. Paired t-test was used to compare the clinical parameters before and after switching to repaglinide. Pearson’s correlation coefficient was used to assess the correlations between the baseline 1,5-AG level and Δ1,5-AG. All analyses were performed using EZR (Jichi Medical University Saitama Medical Center, Saitama, Japan), a graphical user interface for R (v.2.13.0; The R Foundation for Statistical Computing, Vienna, Austria) and a modified version of the R commander (v.1.6-3), which was designed to add statistical functions frequently used in biostatistics research [14]. P < 0.05 was considered statistically significant.

Results

Initially, 14 eligible patients were identified; however, one patient was subsequently excluded for worsening diabetes, two for poor adherence to drug therapy and one more for discontinuing hospital visits (Fig. 2). Finally, total 10 patients were enrolled in this study, two and eight of whom had been prescribed glimepiride (0.5 and 1 mg/day, respectively). The baseline clinical characteristics of all study participants and the other administered antihyperglycemic agents are presented in Table 1. Three patients were administered angiotensin II receptor blocker for hypertension. No patient took drugs that interacted with repaglinide.
Figure 2

Flow chart of patient enrollment throughout the trial.

Table 1

Baseline Characteristics of Patients Enrolled in the Study

Age (years)68.3 ± 8.10
Sex (male/female)7/3
Body weight (kg)59.5 ± 12.3
BMI (kg/m2)23.9 ± 5.12
Duration of diabetes (years)5.5 (4 - 7.8)
HbA1c (%)7.7 ± 0.52
Random plasma glucose (mg/dL)152 ± 51
Random serum CPR (ng/mL)2.6 (1.6 - 3.0)
Baseline 1,5-AG (µg/mL)5.5 ± 2.0
eGFR (mL/min/1.73 m2)73 ± 10
Dyslipidemia (n)4
Hypertension (n)3
Anti-hyperglycemic drugs
Metformin (n)8
Alpha-glucosidase inhibitor (n)1
Pioglitazone (n)5
Dipeptidyl peptidase-4 inhibitor (n)4

Data are expressed as mean ± standard deviation. BMI: body mass index; HbA1c: glycated hemoglobin; CPR: C-peptide immunoreactivity; 1,5-AG: 1,5-anhydroglucitol; eGFR: estimated glomerular filtration rate.

Flow chart of patient enrollment throughout the trial. Data are expressed as mean ± standard deviation. BMI: body mass index; HbA1c: glycated hemoglobin; CPR: C-peptide immunoreactivity; 1,5-AG: 1,5-anhydroglucitol; eGFR: estimated glomerular filtration rate. Regarding the switch from glimepiride, two and eight patients were administered repaglinide (two patients, 1.5 mg/day; eight patients, 0.75 mg/day) during the study period. Following this drug switch, no changes were observed in the HbA1c levels (secondary endpoint) and body weight from the baseline to the end of the 24-week study period; however, the 1,5-AG levels (primary endpoint) significantly improved, and the baseline 1.5-AG and Δ1.5-AG exhibited a significant positive correlation (r = 0.63, P = 0.049; Fig. 3). No severe hypoglycemic events or other adverse events were observed throughout the study period.
Figure 3

Measurement of oxidative stress markers in urine samples collected during treatment with either glimepiride or repaglinide. (a) Glycated hemoglobin (HbA1c); (b) 1,5-anhydroglucitol (1,5-AG); (c) body weight; (d) correlation between the baseline 1.5-AG and Δ1.5-AG are indicated (n = 10). *P < 0.05.

Measurement of oxidative stress markers in urine samples collected during treatment with either glimepiride or repaglinide. (a) Glycated hemoglobin (HbA1c); (b) 1,5-anhydroglucitol (1,5-AG); (c) body weight; (d) correlation between the baseline 1.5-AG and Δ1.5-AG are indicated (n = 10). *P < 0.05.

Discussion

The serum 1,5-AG levels in patients with type 2 diabetes improved after glimepiride was switched to repaglinide; however, no concomitant changes were observed in the HbA1c levels. Even if the HbA1c level remains stable, a reduced serum 1,5-AG level reflects the occurrence of glycemic excursions, including postprandial hyperglycemia [8]. This result suggests that when compared with glimepiride, repaglinide suppresses postprandial hyperglycemia more efficiently. Interestingly, a previous study reported that compared with the HbA1c level, the post-challenge plasma glucose level was more strongly associated with the carotid intima-media thickness (IMT) after an oral glucose tolerance test [15]. Esposito et al reported that compared with glyburide, repaglinide better suppressed the progression of the carotid IMT in patients with type 2 diabetes and noted that a reduction in carotid IMT was associated with changes in the postprandial, but not fasting glucose level [16]. Yamazaki et al reported that in patients with type 2 diabetes, repaglinide reduced the mean amplitude of glycemic excursions, an index of daily blood glucose variability, and improved the urinary level of 8-hydoroxydeoxyguanosine, an oxidative stress marker, when compared with glimepiride [17]. Although this study suggests that an improvement in postprandial glucose levels is important for reducing oxidative stresses, the serum 1,5-AG level did not change after switching from glimepiride to repaglinide; this finding contradicts our study. This discrepancy can be attributed to differences in the patient background factors, such as the baseline HbA1c level, duration of diabetes mellitus or dosages of concomitant drugs. Postprandial hyperglycemia is considered an important therapeutic target in the prevention of atherosclerosis. Recently, we reported the association of a lower 1,5-AG level with de novo coronary artery disease in both patients with and without type 2 diabetes and with adverse clinical events after percutaneous coronary intervention [18, 19]. These findings suggest that 1,5-AG is a useful surrogate, predictive biomarker for adverse cardiac events. In addition, a recent meta-analysis revealed the association of severe hypoglycemia with cardiovascular events [20]. Interestingly, Haneda et al reported that sulfonylurea is a major cause of drug-induced hypoglycemia at a high-volume emergency center [21]; consistent with this, repaglinide was found to cause fewer hypoglycemic events when compared with glibenclamide, a common sulfonylurea drug [22]. Therefore, glinide drugs, such as repaglinide, could potentially be used to reduce postprandial hyperglycemia and confer a relatively low risk of severe hypoglycemia when compared with sulfonylurea drugs. Although a nationwide observational study revealed equivalent reductions in cardiovascular events with the use of repaglinide and metformin [23], no prospective clinical study has clearly evaluated the prevention of cardiovascular events in patients with type 2 diabetes. Therefore, further investigation is warranted to clarify the significance of improved postprandial hyperglycemia following repaglinide treatment in patients with type 2 diabetes. The present study has some limitations. First, the study featured a single-arm design and small number of patients. A larger sample size and/or cross-over design should be applied in the future. Second, we did not completely control for the participants’ lifestyle factors. Also, the switch between the antihyperglycemic drugs might have possibly affected the patients’ functional or psychological states. Third, the glimepiride and repaglinide dosages differed among the patients; the baseline antihyperglycemic agents used by each patient also differed. This factor might have affected the glycemic control and, therefore, the study results. Lastly, we instructed diet therapy for all patients; however, the observance of diet therapy during this study affected results. In conclusion, our findings indicate that compared with glimepiride, repaglinide improves the level of 1,5-AG, a marker for postprandial hyperglycemia, in patients with type 2 diabetes. Repaglinide may be a useful therapeutic option for treating postprandial hyperglycemia.
  23 in total

1.  Hyperglycaemia and mortality from all causes and from cardiovascular disease in five populations of Asian origin.

Authors:  T Nakagami
Journal:  Diabetologia       Date:  2004-02-18       Impact factor: 10.122

2.  Safety of type 2 diabetes treatment with repaglinide compared with glibenclamide in elderly people: A randomized, open-label, two-period, cross-over trial.

Authors:  Giuseppe Papa; Viviana Fedele; Maria Rosaria Rizzo; Marisa Fioravanti; Carmelo Leotta; Sebastiano Bruno Solerte; Francesco Purrello; Giuseppe Paolisso
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3.  1,5-anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes.

Authors:  Kathleen M Dungan; John B Buse; Joseph Largay; Mary M Kelly; Eric A Button; Shuhei Kato; Steven Wittlin
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

4.  Lower 1,5-anhydroglucitol is associated with adverse clinical events after percutaneous coronary intervention.

Authors:  Takayuki Fujiwara; Masashi Yoshida; Naoyuki Akashi; Hodaka Yamada; Takunori Tsukui; Tomohiro Nakamura; Kenichi Sakakura; Hiroshi Wada; Kenshiro Arao; Takuji Katayama; Tomio Umemoto; Hiroshi Funayama; Yoshitaka Sugawara; Takeshi Mitsuhashi; Masafumi Kakei; Shin-Ichi Momomura; Junya Ako
Journal:  Heart Vessels       Date:  2015-04-29       Impact factor: 2.037

Review 5.  Severe hypoglycaemia and cardiovascular disease: systematic review and meta-analysis with bias analysis.

Authors:  Atsushi Goto; Onyebuchi A Arah; Maki Goto; Yasuo Terauchi; Mitsuhiko Noda
Journal:  BMJ       Date:  2013-07-29

6.  Impaired glucose tolerance is a risk factor for cardiovascular disease, but not impaired fasting glucose. The Funagata Diabetes Study.

Authors:  M Tominaga; H Eguchi; H Manaka; K Igarashi; T Kato; A Sekikawa
Journal:  Diabetes Care       Date:  1999-06       Impact factor: 19.112

7.  Impact of tight glucose control on postoperative infection rates and wound healing in cardiac surgery patients.

Authors:  Karin L Patel
Journal:  J Wound Ostomy Continence Nurs       Date:  2008 Jul-Aug       Impact factor: 1.741

8.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

9.  Effect of repaglinide versus glimepiride on daily blood glucose variability and changes in blood inflammatory and oxidative stress markers.

Authors:  Masahiro Yamazaki; Goji Hasegawa; Saori Majima; Kazuteru Mitsuhashi; Takuya Fukuda; Hiroya Iwase; Mayuko Kadono; Mai Asano; Takafumi Senmaru; Muhei Tanaka; Michiaki Fukui; Naoto Nakamura
Journal:  Diabetol Metab Syndr       Date:  2014-05-05       Impact factor: 3.320

10.  Japanese Clinical Practice Guideline for Diabetes 2016.

Authors:  Masakazu Haneda; Mitsuhiko Noda; Hideki Origasa; Hiroshi Noto; Daisuke Yabe; Yukihiro Fujita; Atsushi Goto; Tatsuya Kondo; Eiichi Araki
Journal:  J Diabetes Investig       Date:  2018-03-26       Impact factor: 4.232

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