Effect of repaglinide versus glimepiride on daily blood glucose variability and changes in blood inflammatory and oxidative stress markers
© yamazaki et al.; licensee BioMed Central Ltd. 2014
Received: 2 February 2014
Accepted: 28 April 2014
Published: 5 May 2014
Hemoglobin A1c is the main treatment target for patients with type 2 diabetes. It has also been shown recently that postprandial glucose and daily glucose fluctuations affect the progression of diabetic complications and atherosclerotic damages.
Continuous glucose monitoring was performed in patients with type 2 diabetes to evaluate the efficacy of repaglinide vs. glimepiride on postprandial glucose spikes and fluctuations. A total of 10 Japanese patients with type 2 diabetes treated with glimepiride monotherapy were enrolled. After observation period for 8 weeks, glimepiride was changed to repaglinide. Continuous glucose monitoring was performed whilst consuming calorie-restricted diets for two days at baseline and at the end of the 12-week trial. Blood and urine samples were collected for measurement of glucose control parameters and inflammatory and oxidative stress markers on the last day of taking either glimepiride or repaglinide.
Nine patients completed the trial. Although the glucose control parameters were not significantly different between glimepiride and repaglinide, the mean amplitude of glycemic excursions measured by continuous glucose monitoring was significantly reduced by changing treatment from glimepiride to repaglinide. The levels of plasminogen activator inhibitor-1, high sensitivity C-reactive protein, and urinary 8-hydoroxydeoxyguanosine were reduced significantly by repaglinide treatment.
These results suggest that repaglinide may decrease the risk of cardiovascular disease in type 2 diabetes by minimizing glucose fluctuations thereby reducing inflammation and oxidative stress.
KeywordsCardiovascular disease Continuous glucose monitoring MAGE Glimepiride
Inflammation and oxidative stress have emerged as important factors in atherosclerosis, and have therefore attracted clinical attention as novel risk factors for cardiovascular diseases (CVD). Some studies in patients with diabetes have shown that serum inflammation markers, such as high-sensitivity C reactive protein (hs-CRP), interleukin-6 (IL-6), interleukin-10 (IL-10) and tumor necrosis factor-α (TNF-α), and oxidative stress markers, such as urinary 8-hydoroxydeoxyguanosine (u-8-OHdG) and 8-iso-prostaglandin F (2α) (u-8-isoPGF2α), were associated clearly with future coronary events [1–5].
Hemoglobin A1c (HbA1c) is the main target for patients with type 2 diabetes. However, postprandial glucose levels have been shown to be closely associated with increased CVD . It has been reported that activation of either inflammation or oxidative stress by postprandial hyperglycemia is an important mechanism in the pathogenesis of atherosclerosis . Glucose fluctuations during postprandial periods have a more specific triggering effect on oxidative stress than chronic sustained hyperglycemia . Therefore, acute glucose swings should be targeted as an anti-atherosclerotic strategy in the treatment of type 2 diabetes.
Sulfonylurea agents (SUs) such as glimepiride are used widely to treat patients with type 2 diabetes, although they do not reduce glucose swings. On the other hand, repaglinide, a meal-time insulin secretagogue approved for treatment of type 2 diabetes, reduces postprandial blood glucose (PBG) peaks, lowers 24-h blood glucose (BG) profiles, and reduces HbA1c levels [9–11]. Animal experiments have demonstrated that repaglinide also has an anti-oxidative effect . There is also evidence that progression of carotid intima-media thickness in patients treated with repaglinide is significantly attenuated compared with treatment with SUs [13, 14]. These findings suggest that repaglinide has anti-inflammatory and anti-oxidative effects by reducing glucose fluctuations. The mean amplitude of glycemic excursions (MAGE) calculated from continuous glucose monitoring (CGM) is the gold standard for evaluating glucose variability. However, no studies have demonstrated differences between the effects of repaglinide and SUs on glucose fluctuations based on data obtained from CGM devices.
In this study, we assessed the effects of repaglinide treatment on PBG peaks and glucose fluctuations using CGM, and compared changes in oxidative stress and inflammation markers with those measured during glimepiride treatment.
Subjects and methods
Study subjects and protocol
The subjects were recruited from the outpatient clinic at Hospital of Kyoto Prefectural University of Medicine between July 2012 and October 2013. The subjects were patients with type 2 diabetes older than 20 years. All the patients were treated with a stable dosage of glimepride only and had stable glycemic control (stable HbA1c levels between 7.0 ~ 8.0% for at least 8 weeks before inclusion). Patients with severe chronic diabetic complications, heart failure, liver dysfunction, renal dysfunction, inflammatory diseases, or malignancies were excluded. All recruited patients with major cardiovascular event history were excluded from this study. The purpose and risks of the study were explained to all the subjects, and informed consent was obtained prior to enrollment. The study was approved by the Ethical Committee of the Kyoto Prefectural University of Medicine.
Plasma glucose was determined by a standard laboratory assay. Plasma insulin, C-peptide, and IL-6 were analyzed by CLEIA, and HbA1c was assayed using high-performance liquid chromatography and expressed as National Glycohemoglobin Standardization Program Units. GA, 1,5-AG, u-8-OHdG, and u-8-iso PGF2α were analyzed by EIA, and PAI-1 by the LPIA-tPAI test (SRL, Tokyo, Japan).
CGM was performed using a i-Pro2 digital recorder (MiniMed, Medtronic, Northridge, CA, USA). MAGE, the standard deviation (SD) of blood glucose level, mean blood glucose level (mean BG), percent of hours under 3.9 mmol/L of serum glucose in 24 hours and percent of hours over 10.0 mmol/L of serum glucose in 24 hours were calculated from the glucose curve on day 3 in order to exclude the influence of the meals on the first day of CGM.
Data in the tables and figures were expressed as mean ± SD, with the exception of CGM (mean ± SEM). The effects of changing treatment were analyzed using paired t test. All the statistical analyses were performed using PRISM5 software (GraphPad Software, Inc., CA, USA).
Clinical characteristics at baseline
Comparison the clinical and laboratory markers at glimepiride treatment and repaglinide treatment
68.0 ± 6.5
18.3 ± 12.8
Body weight (kg)
64.3 ± 12.7
64.2 ± 12.3
Body mass index (kg/m2)
24.7 ± 3.7
24.7 ± 3.7
1.0 ± 0.4
0.75 ± 0.32
132.6 ± 4.2
126.2 ± 3.8
74.6 ± 4.0
70.6 ± 3.8
7.0 ± 0.2
7.0 ± 0.2
7.8 ± 1.9
7.7 ± 1.5
17.2 ± 1.7
17.3 ± 1.3
7.1 ± 3.3
7.1 ± 3.6
6.0 ± 2.6
5.2 ± 3.6
2.3 ± 1.9
1.6 ± 0.7
2.4 ± 1.7
2.1 ± 1.1
33.7 ± 16.3
30.9 ± 15.8
The effects on body weight, BMI, and glycemic control
After 12 weeks of treatment with repaglinide, there were no significant changes in body weight or BMI (Table 1). None of the glucose control parameters (HbA1c, GA, and 1,5-AG) were changed by repaglinide treatment. Homeostasis model assessment indices of insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were comparable with glimepiride or repaglinide treatment (Table 1).
The effects on parameters of daily glucose change
Parameters calculated by CGM during glimepiride or repaglinide treatment
13.5 ± 2.9
12.7 ± 3.6
5.6 ± 0.9
5.3 ± 1.3
7.9 ± 2.8
7.4 ± 3.4
1.9 ± 0.8
1.8 ± 1.0
8.7 ± 1.6
8.0 ± 1.5
6.0 ± 3.1
3.6 ± 1.7
Hours of under 3.9 mmol/L (% 24 hours)
Hours of over 10.0 mmol/L (% 24 hours)
31.3 ± 27.1
10.1 ± 10.5
The effects on markers of blood inflammation and urine oxidative stress
This study on patients with type 2 diabetes on glimepiride showed that a change in treatment to repaglinide resulted in a significant decrease in both inflammatory (PAI-1, hs-CRP) and oxidative stress markers (u-8-OHdG), despite glucose control parameters (HbA1c, GA, and mean BG) remaining unchanged. We also demonstrated that repaglinide improved postprandial glucose excursions and MAGE assessed by CGM following calorie-adjusted meals.
Repaglinide is an insulin secretagogue agent with a more rapid anti-hyperglycemic action and a shorter duration than SUs, and therefore provides better control of postprandial hyperglycemia [15, 16]. In this study, the smaller fluctuations in blood glucose levels with repaglinide treatment were consistent with the pharmacodynamic properties of this agent.
The mean level of glycemia assessed by HbA1c is a well known risk factor for the development of diabetic vascular complications. However, recent studies have suggested that blood glucose variability is more deleterious than a constant high glucose as it accelerates diabetic macrovascular complications . Xiao-min et al. reported that parameters of glycemic variability calculated from CGM data, such as SD and MAGE, were increased as atherosclerosis progressed in patients with type 2 diabetes, and that increases in carotid intima-media thickness correlated significantly with MAGE . Furthermore, accumulated data have indicated there is a significant relationship between glucose fluctuations and oxidative stress that may lead to the development of atherosclerosis. A recent study demonstrated that chronic blood glucose variability induced chronic inflammation as assessed by blood hs-CRP levels, a marker that is recognized as a significant predictor of cardiovascular events . Based on these reports, we assume that the smaller fluctuations in glucose levels we observed following repaglinide treatment compared with glimepiride treatment may have decreased the level of inflammation and oxidative stress biomarkers. These data raise the possibility that long-term repaglinide treatment may be beneficial for preventing macrovascular complications in type 2 diabetes.
Rizzo et al. also demonstrated using data from a meal-test that repaglinide was more efficient than glimepiride for controlling postprandial glucose excursions and reducing oxidative stress and inflammation markers. The duration of chronic sustained hyperglycemia and the acute fluctuations in glucose levels are two factors that contribute to diabetic complications. The measurement of MAGE is strongly recommended for predicting incident cardiovascular events [20, 21]. CGM is the only method that allows estimation of a variety of glucose fluctuation parameters including MAGE. It has also been reported that oxidative stress markers (u-8-isoPGF2α, serum 8-OHdG) and chronic inflammation marker (hs-CRP) correlate positively with MAGE, but not with HbA1c or FBS . The present study confirmed the benefit of repaglinide treatment by incorporating detailed analysis of acute glucose fluctuations using CGM and simultaneous measurements of inflammation and oxidative stress markers under normal daily living conditions. Furthermore, the percent of hours over 10.0 mmol/L of serum glucose calculated by CGM at repaglinide treatment was lower than that at glimepiride treatment. This shorter exposure of hyperglycemia might contribute to decrease of inflammatory and oxidative stress markers.
The NAVIGATOR study, a large international placebo-controlled trial, did not demonstrate the validity of nateglinide (a short-acting insulin secretagogue) for reduction of the incidence of diabetes and cardiovascular events in the patients of impaired glucose tolerance . It may be argued that this finding is contradictable with our current results predicting the suppressive effect of repaglinide, another short-acting insulin secretagogues, on inflammation and oxidative stress in type 2 diabetes patients. However, it should be noted that, in the NAVIGATOR study, the nateglinide treatment group was associated with greater body weight gain and failure of suppression of postprandial hyperglycemia. Therefore, we cannot refer to the significance of suppression of post-prandial hyperglycemia from the results of NAVIGATOR study. In addition, it has been reported that repaglinide has the stronger glucose lowering effect than nateglinide .
Many of the limitations stem from our sample size, which limits our statistical power to observe associations, although we conducted this study with the well controlled protocol and the selected subjects with the well-designed inclusion/exclusion criteria. We assumed that the other factors than the anti-diabetics, such as habitual and environmental factors, didn’t change during three months of the intervention period. In general, three months of the intervention period is considered to be appropriate for estimation of the merely drug effect. Actually, we confirmed that the patients’ physical conditions and lifestyles didn’t change every 4 week. Furthermore, setting the control group would help elucidating the mechanism underlying the drug effect.
Repaglinide treatment is more beneficial than glimepiride for decreasing glucose variability in patients with type 2 diabetes. These smaller glucose fluctuations are associated with decreased levels of inflammation and oxidative stress markers. This change is important as it has the potential benefit of reducing CVD risk in patients with type 2 diabetes.
Masahiro Yamazaki is the first author and Goji Hasegawa contributed as senior author.
I wish to thank Mitsuko Takamura of the FUNDERY Co., Ltd. for arranging and delivering the calorie-adjusted diets.
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