Literature DB >> 30171747

Which is better, high-dose metformin monotherapy or low-dose metformin/linagliptin combination therapy, in improving glycemic variability in type 2 diabetes patients with insufficient glycemic control despite low-dose metformin monotherapy? A randomized, cross-over, continuous glucose monitoring-based pilot study.

Hiroshi Takahashi1, Rimei Nishimura1, Daisuke Tsujino1, Kazunori Utsunomiya1.   

Abstract

AIMS/
INTRODUCTION: The present study investigated the effect of high-dose metformin or low-dose metformin/linagliptin combination therapy on glycemic variability (GV) in type 2 diabetes patients with insufficient glycemic control despite low-dose metformin monotherapy in a cross-over study using continuous glucose monitoring.
MATERIALS AND METHODS: The present study was carried out with 11 type 2 diabetes outpatients (7% < glycated hemoglobin < 10%) receiving low-dose metformin monotherapy (500-1,000 mg). All patients were assigned to either metformin 1,500 mg monotherapy (HMET) or combination therapy of low-dose (750 mg) metformin and linagliptin 5 mg (LMET + dipeptidyl peptidase-4 [DPP4]). GV was evaluated by continuous glucose monitoring after >4 weeks of the initial treatment and again after cross-over to the other treatment. GV metrics were compared between the treatments using the Wilcoxon signed-rank test.
RESULTS: Of the continuous glucose monitoring-derived GV metrics for the HMET versus LMET + DPP4, mean glucose levels, standard deviations and mean amplitude of glucose excursions were not significantly different. Although the pre-breakfast glucose levels were not significantly different among the treatments (P = 0.248), the 3-h postprandial glucose area under the curve (>160 mg/dL) after breakfast was significantly larger with HMET versus LMET + DPP4 (9,550 [2,075-11,395] vs 4,065 [1,950-8,895]; P = 0.041).
CONCLUSIONS: A comparison of GV with HMET versus LMET + DPP4 suggested that LMET + DPP4 might reduce post-breakfast GV to a greater degree than HMET in type 2 diabetes patients receiving low-dose metformin monotherapy.
© 2018 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Continuous glucose monitoring; Dipeptidyl peptidase-4 inhibitor; Metformin

Mesh:

Substances:

Year:  2018        PMID: 30171747      PMCID: PMC6497608          DOI: 10.1111/jdi.12922

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

The goals of diabetes treatment are to prevent the onset or progression of microangiopathy or atherosclerotic diseases as diabetic complications and to maintain a quality of life similar to healthy individuals, thereby prolonging life expectancy. However, the American Diabetes Association/European Association for the Study of Diabetes joint statement1 recommends that individual glycemic goals be determined with consideration of each patient's background characteristics, given that glycated hemoglobin (HbA1c) values of 6.5–7.0% might not be associated with meaningful reductions in macroangiopathy, as shown in the Action to Control Cardiovascular Risk in Diabetes2, Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation3 and Veterans Affairs Diabetes Trial4 studies. Because of the emphasis on individualized therapeutic strategies for diabetes patients, metformin is often recommended as the first‐line therapy, because it is less likely to be associated with hypoglycemia and weight gain, and it is inexpensive1, 5, 6, 7. Furthermore, initiating intensive glycemic control with metformin at an early stage of diabetes has been shown to lead to reductions in glucose values and HbA1c, and significant reductions in the risk of myocardial infarction, thus contributing to a better long‐term prognosis in diabetes patients in the large‐scale UK Prospective Diabetes Study 346 and UK Prospective Diabetes Study 808 clinical trials. It is usual practice to initiate low‐dose metformin in diabetes patients to mitigate associated gastrointestinal adverse events, to titrate its dose upwards gradually when it is not sufficiently effective and to consider initiating combination therapy with another drug if metformin monotherapy fails to achieve designated glycemic goals in approximately 3 months. Multicenter double‐blind comparative studies9, 10 have shown that metformin monotherapy at doses up to 2,000 mg/day is associated with dose‐dependent reductions in fasting glucose and HbA1c. Although metformin is usually given at a regular daily dose of ≥2,000 mg in Western countries11, the daily dose was limited to 750 mg daily in Japan until 2009 due to safety concerns, so its effectiveness was inadequate and its use less widespread. However, metformin became available in Japan from 2010 for use at a maintenance dose of 750–1,500 mg daily, as well as at a maximum dose of 2,250 mg, which led to a reappraisal of its antidiabetic efficacy and widespread use in the country. Dipeptidyl peptidase‐4 (DPP‐4) inhibitors are counted among potential therapeutic agents for use in combination with metformin in patients with inadequate glycemic control despite metformin monotherapy12. Metformin and DPP‐4 inhibitors complement each other's mechanisms of action13. Metformin activates hepatic adenosine monophosphate‐activated protein kinase and inhibits hepatic gluconeogenesis, thus lowering glucose14; DPP‐4 inhibitors lower glucose by promoting insulin secretion in a dose‐dependent manner7. DPP‐4 inhibitors are less likely to be associated with hypoglycemia and weight gain5, 7, 15, 16, 17, 18, and the combination therapy of metformin and a DPP‐4 inhibitor has been shown in a clinical trial to reduce HbA1c to a greater extent than metformin monotherapy without causing weight gain19. Of all oral hypoglycemic agents used in combination with metformin, DPP‐4 inhibitors are associated with the most significant reductions in cardiovascular events in clinical studies that evaluated the impact of metformin‐containing combination therapy on cardiovascular events20, 21, 22. Recent studies have identified the management of postprandial hyperglycemia as the cornerstone of preventive strategy against macroangiopathy23, 24, suggesting that glycemic control is crucial to diabetes treatment, with consideration given to glycemic variability, including postprandial hyperglycemia. However, very few clinical studies have investigated whether metformin doses should be increased or metformin should be combined with a DPP‐4 inhibitor in patients with inadequate glycemic control despite metformin monotherapy. No studies are available that offer insight into diurnal glycemic variability using continuous glucose monitoring (CGM), which allows glucose to be monitored continuously over 24 h. Against this background, a non‐blinded, CGM‐based cross‐over study was carried out in Japanese type 2 diabetes patients with inadequate glycemic control despite low‐dose metformin monotherapy to compare their glycemic variability with the use of an increased metformin dose versus the addition of the DPP‐4 inhibitor, linagliptin.

Methods

Patients

Of all type 2 diabetes outpatients treated at the Division of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan, those who met the following three criteria were included in the study: (i) those taking metformin 500–1000 mg daily (in two to three divided doses) for ≥2 months; (ii) HbA1c (National Glycohemoglobin Standardization Program [%]) >7% but <10%, with an immediate glycemic variability (mean absolute glucose change) within 1.0%; and (iii) age ≥20 years but <80 years. Patients were excluded if they met any of the following criteria: (i) type 1 diabetes; (ii) treatment with insulin therapy; (iii) treatment with oral hypoglycemic agents other than metformin; (iv) severe ketoacidosis or diabetic coma at the time of study entry; (v) serious infection, recent or upcoming surgery, or serious trauma; (vi) hepatic impairment (aspartate aminotransferase/alanine aminotransferase >2.5‐fold the upper limit of normal) or hepatic cirrhosis; (vii) renal impairment (creatinine ≥1.0 mg/dL, regardless of sex); (viii) shock, cardiac failure, myocardial infarction, pulmonary embolism, advanced lung failure or other conditions thought likely to be associated with hypoxemia; (ix) a state of malnutrition, starvation or debility, and pituitary or adrenal gland dysfunction; (x) a history of lactic acidosis; (xi) excessive alcohol intake; (xii) dehydration, diarrhea thought likely to lead to dehydration or gastrointestinal disorder, such as vomiting; (xiii) malignancy; (xiv) a history of hypersensitivity to biguanides or other drugs; (xv) pregnancy, possibility of pregnancy and lactation; and (xvi) ineligibility for any study entry, as judged by an attending physician.

Trial design

The present study was a non‐blinded cross‐over study. All study participants were randomly allocated to either metformin 1,500 mg (high‐dose metformin [HMET]) or metformin 750 mg plus linagliptin 5 mg (low‐dose metformin + DPP‐4 inhibitor; LMET + DPP4) with the minimization method, where metformin was taken three times daily and linagliptin was taken after breakfast once daily (Figure 1). All patients in both treatments were subjected to evaluation by CGM for glycemic variability after 4–12 weeks of the initial treatment. The patients were then crossed over to the other treatment and again assessed for glycemic variability by CGM after 4–12 weeks of treatment. CGM was carried out in a home setting. When CGM was fitted, HbA1c was measured. During the course of the study, all patients were instructed to follow their usual lifestyle patterns and to maintain their physical activity similar to their usual levels while on both treatments. All patients were provided with standardized retort pouch meals on day 1 (dinner) as well as on day 2 of CGM assessment (breakfast, lunch and dinner). The CGM data on day 2 (from 00.00 to 24.00 hours) were used to assess the primary end‐points.
Figure 1

Study design. *Each patient was fitted with a continuous glucose monitoring (CGM) device after at least 4 weeks of treatment in the outpatient clinic, and 24 h data were collected for comparison under the same retort pouch meals. HbA1c, glycated hemoglobin.

Study design. *Each patient was fitted with a continuous glucose monitoring (CGM) device after at least 4 weeks of treatment in the outpatient clinic, and 24 h data were collected for comparison under the same retort pouch meals. HbA1c, glycated hemoglobin. CGM assessments were carried out using iPro™2 Professional CGM System and Medtronic Enlite® sensors (Medtronic Minimed, Northridge, CA, USA). All patients were blinded to these measurements, and recorded data were downloaded using the Medtronic Care‐Link™ iPro software after devices were removed from the patients. Medisafe Fit® blood glucose meters (Terumo Corporation, Tokyo, Japan) was used for self‐monitoring of blood glucose, with all patients instructed to measure blood glucose at least four times a day (before each meal and at bedtime).

Medications

All patients were given metformin monotherapy at a dose of 500–1,000 mg/day before study participation. The dose of study drug for each patient during the study was determined based on the maintenance dose of metformin (750 or 1,500 mg/day) and the regular dose of linagliptin (5 mg/day). Use of insulin, as well as oral antidiabetic drugs other than metformin and linagliptin, was prohibited during the course of the study, and all patients who required any other drug during the study discontinued the study at that point. Whenever possible, the doses of any other concomitant drugs (e.g., antihypertensive, antiplatelet or antidyslipidemic drugs) the patients received were not altered, and they initiated no additional drugs during the study.

Meals

All eligible patients received the same retort pouch meals beginning with dinner on the day before CGM assessment. The nutritional composition of each meal was as follows: on the day before CGM assessment, dinner was 591.3 kcal with carbohydrates 65.1%; proteins 15.9%; and lipids 19.0%; on the day of CGM assessment, breakfast was 616 kcal with carbohydrates 63.6%; proteins 16.5%; and lipids 19.9%; lunch was 628 kcal with carbohydrates 69.5%; proteins 15.6%; and lipids 14.9%; and dinner was 591.3 kcal with carbohydrates 65.1%; proteins 15.9%; and lipids 19.0%.

Primary end‐points

The primary end‐points for the present study were 24‐h mean glucose levels, standard deviations (SD) of 24‐h glucose levels, coefficient of glucose variation (%CV), mean amplitude of glycemic excursions (MAGE), preprandial blood glucose levels, postprandial peak blood glucose levels, range of glucose increase from preprandial to postprandial peak glucose levels, time to peak glucose levels from preprandial glucose levels and area under the curve (AUC) measured >160 mg/dL 3 h after each meal.

Statistical analysis

Each parameter was compared using both the Wilcoxon signed‐rank test and t‐test for patients receiving HMET and those receiving LMET + DPP4, as the sample size was small. All analyses were carried out by using SPSS 22.0 (SPSS Inc., Chicago, IL, USA; www.spss.com). All data were represented as median (interquartile range) and mean ± SD. A P‐value of <0.05 was considered to show statistical significance (two‐tailed test). The study was approved by the ethics committee of the Jikei University School of Medicine, and conformed to the provisions of the Declaration of Helsinki (as revised in Fortaleza, Brazil, October 2013). This trial was registered at University Hospital Medical Information Network Clinical Trials Registry as UMIN000019033. Written informed consent was obtained from all patients before their study enrollment.

Results

Patient characteristics and metformin dose

The study participants comprised a total of 11 patients (8 men, 3 women; age 53.0 years [45.0–60.0 years]; duration of diabetes 4.0 years [2.0–7.0 years]; body mass index 25.8 kg/m2 [24.4–27.4 kg/m2]; HbA1c 7.6% [7.2–7.9%]; C‐peptide 2.62 ng/mL [2.19–3.59 ng/mL]; and estimated glomerular filtration rate 78.0 mL/min/1.73 m2 [71.0–85.0 mL/min/1.73 m2]). Of these, six patients received metformin 750 mg and five patients received 1,000 mg alone before their participation in the study (Table 1).
Table 1

Patient demographics and metformin dose at baseline

Overall
No. patients (women)11 (3)
Age (years)
Median53.0 (45.0–60.0)
Mean51.9 ± 9.8
Duration of diabetes (years)
Median4.0 (2.0–7.0)
Mean4.9 ± 3.3
Bodyweight (kg)
Median74.0 (66.0–79.0)
Mean73.7 ± 8.3
BMI (kg/m2)
Median25.8 (24.4–27.4)
Mean26.3 ± 3.0
HbA1c (%)
Median7.6 (7.2–7.9)
Mean7.6 ± 0.4
eGFR (mL/min/1.73 m2)
Median78.0 (71.0–85.0)
Mean78.7 ± 11.3
C‐peptide (ng/mL)
Median2.62 (2.19–3.59)
Mean2.64 ± 0.83
Metformin dose
750 mg6
1,000 mg5

The upper row shows the median (interquartile range), and the lower row shows the mean ± standard deviation. BMI, body mass index; eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin.

Patient demographics and metformin dose at baseline The upper row shows the median (interquartile range), and the lower row shows the mean ± standard deviation. BMI, body mass index; eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin. There was no significant difference between the treatments with regard to duration of treatment (HMET 8.0 weeks [6.9–10.0 weeks] vs LMET + DPP4 9.0 weeks [7.3–10.0 weeks], P = 0.154). The HbA1c and body mass index values were not significantly different with HMET versus LMET + DPP4 in the present study (HbA1c 7.0% [6.8–7.3%] vs 6.9% [6.7–7.0%], P = 0.076; and body mass index 26.2 kg/m2 [24.4–27.4 kg/m2] vs 25.7 kg/m2 [24.4–27.4 kg/m2], P = 0.109; Table 2).
Table 2

Parameters for each protocol

Metformin high dose (HMET)Linagliptin add‐on (LMET + DPP4) P‐value
BMI (kg/m2)
Median26.2 (24.4–27.4)25.7 (24.4–27.4)0.109
Mean26.5 ± 3.126.3 ± 3.00.085
HbA1c (%)
Median7.0 (6.8–7.3)6.9 (6.7–7.0)0.076
Mean7.1 ± 0.37.0 ± 0.30.083
24‐h mean glucose levels (mg/dL)
Median137.5 (120.4–143.6)132.1 (129.6–143.5)0.657
Mean135.4 ± 15.5135.0 ± 14.30.946
Night‐time (00.00–06.00 hours)
Median103.6 (86.2–114.3)110.1 (86.2–123.0)0.594
Mean105.3 ± 25.4108.8 ± 21.80.614
Daytime (06.00–24.00 hours)
Median150.2 (131.8–156.2)138.1 (134.9–156.3)0.929
Mean145.5 ± 16.3143.8 ± 14.00.804
SD of 24‐h glucose levels (mg/dL)
Median45.4 (31.5–50.1)40.7 (30.4–48.5)0.213
Mean42.1 ± 13.239.1 ± 10.60.394
Night‐time (00.00–06.00 hours)
Median11.1 (7.8–18.0)9.1 (4.6–16.2)0.657
Mean15.0 ± 11.113.8 ± 13.70.694
Daytime (06.00–24.00 hours)
Median43.2 (30.8–51.5)40.0 (32.5–50.0)0.374
Mean41.7 ± 13.839.9 ± 10.10.597
Coefficient of glucose variation
Median32.5 (24.3–36.1)25.3 (23.7–34.3)0.286
Mean30.9 ± 8.528.9 ± 6.80.290
Night‐time (00.00–06.00 hours)
Median12.3 (7.1–18.0)9.3 (4.1–17.1)0.594
Mean13.5 ± 7.011.9 ± 10.30.579
Daytime (06.00–24.00 hours)
Median28.1 (22.5–34.3)26.7 (23.9–32.0)0.657
Mean28.4 ± 7.827.5 ± 5.10.595
Mean amplitude of glycemic excursions
Median94.5 (67.0–130.0)97.0 (77.3–132.2)0.790
Mean101.2 ± 35.2102.2 ± 31.50.865
Preprandial blood glucose levels (mg/dL)
Breakfast
Median118.0 (106.0–132.0)115.0 (102.0–127.0)0.248
Mean117.5 ± 17.6113.6 ± 16.20.432
Lunch
Median109.0 (90.0–125.0)95.0 (89.0–113.0)0.756
Mean106.6 ± 19.9102.8 ± 17.20.620
Dinner
Median98.0 (94.0–113.0)102.0 (97.0–108.0)0.689
Mean105.0 ± 16.8103.7 ± 10.40.723
Postprandial blood glucose levels (mg/dL)
Breakfast
Median247.0 (194.0–280.0)222.0 (202.0–254.0)0.248
Mean241.8 ± 51.2226.6 ± 28.80.215
Lunch
Median168.0 (165.0–199.0)177.0 (147.0–207.0)0.594
Mean169.8 ± 31.2178.6 ± 42.00.354
Dinner
Median205.0 (163.0–232.0)199.0 (178.0–239.0)0.594
Mean197.6 ± 35.8208.3 ± 36.60.462
Range of glucose increase from pre‐meal to postprandial peak levels (mg/dL)
Breakfast
Median130.0 (80.0–160.0)113.0 (84.0–139.0)0.248
Mean125.6 ± 50.3113.1 ± 29.00.280
Lunch
Median67.0 (34.0–85.0)71.0 (39.0–120.0)0.142
Mean63.3 ± 42.475.7 ± 46.40.146
Dinner
Median87.0 (68.0–119.0)109.0 (76.0–138.0)0.594
Mean92.6 ± 34.8104.6 ± 42.20.367
Time to peak glucose levels from pre‐meal levels (min)
Breakfast
Median90.0 (85.0–110.0)95.0 (80.0–105.0)0.574
Mean95.5 ± 13.792.3 ± 14.70.612
Lunch
Median85.0 (70.0–110.0)85.0 (75.0–95.0)1.000
Mean89.6 ± 24.787.7 ± 20.80.871
Dinner
Median85.0 (65.0–110.0)115.0 (75.0–120.0)0.349
Mean90.9 ± 25.6101.8 ± 23.50.334
AUC >160 mg/dL 3 h after meal (mg/dL/min)
Breakfast
Median9,550 (2,075–11,395)4,065 (1,950–8,895)0.041*
Mean7,712 ± 5,1775,004 ± 3,2200.047*
Lunch
Median230 (75–1,955)555 (0–3,005)0.859
Mean945 ± 1,3742,335 ± 3,5730.231
Dinner
Median3,540 (30–6,755)2,635 (575–7,230)0.575
Mean3,575 ± 3,5294,165 ± 3,5820.660
Time in hypoglycemia (<70 mg/dL) during 24 h (min)
Median0.0 (0.0–0.0)0.0 (0.0–0.0)0.705
Mean10.5 ± 23.310.0 ± 22.30.967

The upper row shows the median (interquartile range), and the lower row shows the mean ± standard deviation. *P < 0.05. †Data were compared using the Wilcoxon signed‐rank test (upper row) and paired t‐test (lower row) with corresponding samples. AUC, area under the curve; BMI, body mass index; HbA1c, glycated hemoglobin; SD, standard deviation.

Parameters for each protocol The upper row shows the median (interquartile range), and the lower row shows the mean ± standard deviation. *P < 0.05. †Data were compared using the Wilcoxon signed‐rank test (upper row) and paired t‐test (lower row) with corresponding samples. AUC, area under the curve; BMI, body mass index; HbA1c, glycated hemoglobin; SD, standard deviation.

CGM data

The 24‐h mean glucose values did not differ significantly with HMET versus LMET + DPP4 (137.5 mg/dL [120.4–143.6 mg/dL] vs 132.1 mg/dL (129.6–143.5 mg/dL, P = 0.657; Table 2). Again, none of the other metrics for glycemic variability significantly differed with HMET versus LMET + DPP4 (SD 45.4 mg/dL [31.5–50.1 mg/dL] vs 40.7 mg/dL [30.4–48.5 mg/dL], P = 0.213; %CV 32.5 [24.3–36.1] vs 25.3 [23.7–34.3], P = 0.286; MAGE 94.5 [67.0–130.0] vs 97.0 [77.3–132.2], P = 0.790; Table 2). The pre‐breakfast glucose values were not significantly different with HMET versus LMET + DPP4 at 118.0 mg/dL (106.0–132.0 mg/dL) vs 115.0 mg/dL (102.0–127.0 mg/dL, P = 0.248), respectively. Likewise, the pre‐lunch and pre‐dinner glucose values were not significantly different with HMET versus LMET + DPP4 (P = 0.756 and P = 0.689, respectively), and the glucose values after each meal were not significantly different (post‐breakfast, P = 0.248; post‐lunch, P = 0.594; and post‐dinner, P = 0.594; Table 2). The ranges of glucose increase from preprandial to postprandial peak glucose values and the times to postprandial peak glucose values were not significantly different with HMET versus LMET + DPP4. Figure 2 shows the means ± SDs for 24‐h glycemic variability with HMET versus LMET + DPP4. Although there was no significant difference in the post‐breakfast peak glucose values and the ranges of post‐breakfast glucose increase with HMET versus LMET + DPP4 (both P = 0.248), the post‐breakfast 3‐h AUC >160 mg/dL was significantly smaller with LMET + DPP4 than with HMET (HMET vs LMET + DPP4 9,550 mg/dL·min [2,075–11,395 mg/dL·min] vs 4,065 mg/dL·min [1,950–8,895 mg/dL·min]; P = 0.041). In contrast, the post‐lunch and post‐dinner AUCs were not significantly different with HMET versus LMET + DPP4 (P = 0.859 and P = 0.575, respectively).
Figure 2

The 24‐h continuous glucose monitoring data in patients receiving high‐dose metformin (HMET) and low‐dose metformin (LMET) + dipeptidyl peptidase‐4 inhibitor (DPP4; n = 11). Curves are expressed as mean ± standard deviation (SD).

The 24‐h continuous glucose monitoring data in patients receiving high‐dose metformin (HMET) and low‐dose metformin (LMET) + dipeptidyl peptidase‐4 inhibitor (DPP4; n = 11). Curves are expressed as mean ± standard deviation (SD). The time of hypoglycemia (<70 mg/dL) was not significantly different with HMET versus LMET + DPP4 (P = 0.705).

Discussion

In the present CGM‐based study, Japanese type 2 diabetes patients with inadequate glycemic control despite low‐dose metformin monotherapy were evaluated for glycemic variability in a cross‐over fashion, with either an increased metformin dose of 1,500 mg or metformin 750 mg combined with linagliptin 5 mg. Although there was no significant difference between the two treatment phases with regard to the metrics for glycemic variability, such as mean glucose values, MAGE, %CV and SD of glucose, the range of glucose excursions after breakfast was shown to be significantly smaller with LMET + DPP4 than with HMET. Of note, metformin is shown to dose‐dependently reduce HbA1c9, 10, and this has been shown in a registration trial of metformin in Japan, where increasing the metformin dose to 1,500 mg reduced HbA1c by 0.57% in Japanese patients with inadequate glycemic control despite treatment with metformin 750 mg daily. Adding linagliptin to metformin has also been shown to reduce HbA1c by 0.6–0.7% compared with an add‐on placebo19, 25. Thus, the current study results, which showed no significant difference in 24‐h mean glucose values and HbA1c between HMET and LMET + DPP4, are thought to be consistent with those of earlier studies. Apart from this, the post‐breakfast 3‐h AUC was shown to be significantly smaller with LMET + DPP4 than with HMET in the present study (HMET vs LMET + DPP4 9,550 mg/dL·min [2,075–11,395 mg/dL·min] vs 4,065 mg/dL·min [1,950–8,895 mg/dL·min], P = 0.041). Metformin is reported to enhance the expression of the preproglucagon gene, a precursor to glucagon‐like peptide‐1 (GLP‐1), in the small intestines26, as well as to inhibit bile acid reabsorption, thus accounting for the binding of increased bile acid to the L‐cell receptor in the small intestines and promoting GLP‐1 secretion27. In contrast, DPP‐4 inhibitors are shown to promote insulin secretion by dose‐dependently inhibiting the breakdown of incretins, such as GLP‐1 and gastric inhibitory polypeptide, thereby lowering blood glucose16, 28. Metformin combined with a DPP‐4 inhibitor has been shown to increase the concentration of GLP‐1 by approximately twofold compared with treatment with either drug alone, suggesting synergistic effects of the drugs combination26. Although the present study included type 2 diabetes patients with a mean duration of diabetes of 4.0 years (2.0–7.0 years); that is, those at a relatively early stage of disease whose endogenous insulin secretion likely remained relatively intact, they had HbA1c of 7.6% (7.2–7.9%) despite low‐dose metformin monotherapy. These levels suggest they likely had postprandial hyperglycemia and that LMET + DPP4 might have enhanced the postprandial concentration of active GLP‐1 to a greater extent than HMET, leading to enhanced secretion of bolus insulin and inhibition of glucagon, thus accounting for greater improvements in post‐breakfast hyperglycemia in these patients. All type 2 diabetes patients in the present study received the same retort pouch meals during CGM assessments, with each accounting for nearly the same amount of calories and carbohydrates. Of note, of all postprandial glucose excursions seen in type 2 diabetes patients, those after breakfast are shown to be the greatest due to the influence of gluconeogenesis associated with long overnight fasting29, 30. In this study as well, although breakfast was expected to be associated with the greatest of all postprandial glucose increases due to long overnight fasting, LMET + DPP4 was thought to have led to significant reductions in post‐breakfast glycemic variability. Results from the Diabetes Epidemiology Collaborative Analysis of Diagnostic Criteria in Europe and Diabetes Epidemiology Collaborative Analysis of Diagnostic Criteria in Asia studies suggest an association between postprandial hyperglycemia and cardiovascular death23, 24. Currently, increasing emphasis is placed on control of postprandial hyperglycemia, given that postprandial hyperglycemia represents an important risk factor for cardiovascular disease in the Asia–Pacific region as well31. Monnier et al.32 reported a strong positive correlation between oxidative stress and MAGE and postprandial glucose increases. Furthermore, the International Diabetes Federation recommend that postprandial 1‐ or 2‐h glucose levels be maintained at ≤160 mg/dL in diabetes patients33. An earlier study of type 2 diabetes patients with insufficient glycemic control despite low‐dose metformin monotherapy found LMET + DPP4 had a greater role in improving vascular endothelial function than HMET, whereas it found no difference in HbA1c reductions between the two treatments34. This appears to suggest that the smaller post‐breakfast glycemic excursions seen with LMET + DPP4 in the present study might contribute to prevention of cardiovascular events in type 2 diabetes patients with inadequate glycemic control despite low‐dose monotherapy. In agreement with earlier reports showing that metformin and DPP‐4 inhibitors are less likely to be associated with hypoglycemia, when used alone or when combined5, 6, 7, 8, 15, 16, 17, 18, no clinically relevant hypoglycemia was reported in the present study, whereas hypoglycemia did occur with either HMET or LMET + DPP4. Of all metformin‐related adverse events, gastrointestinal symptoms were reported to be most common, and of these, diarrhea and nausea were the most frequent. Garber et al.9 evaluated the tolerability profile of metformin and reported the discontinuation rate of metformin due to diarrhea at a dose of 500 mg/day was similar to that of the placebo, increased at a dose of 1,000 mg/day, and was no different at doses >1,000 mg/day. In the present study, of the six patients for whom the metformin dose had been increased from 750 to 1,500 mg/day, only one patient developed mild diarrhea (no difficulty continuing with metformin was reported, and the symptom resolved within 1 week), and no gastrointestinal symptoms occurred in the five patients for whom the metformin dose had been increased from 1,000 to 1,500 mg/day. The limitations of the present study include the small number of patients enrolled and the maximum dose of metformin limited to 1,500 mg, not the 2,250 mg approved for clinical use in Japan. Again, given that this study included only those with HbA1c values 7.6% (7.2–7.9%), further study is warranted in type 2 diabetes patients with varying HbA1c values, as well as in different ethnic populations, to examine whether or how the study treatments might differ in their effects on glycemic variability in these populations. Despite these limitations, the authors believe the present pilot study represents an opportunity to provide valuable insights into the research question raised, as well as the rationale for further research in the future. In conclusion, a comparison of glycemic variability with HMET versus LMET + DPP4 in Japanese type 2 diabetes patients with inadequate glycemic control despite low‐dose metformin monotherapy, the present study suggested a greater role for LMET + DPP4 in improving post‐breakfast glycemic excursions. It is hoped that the data presented in this study might serve as the reference data in formulating a diabetes treatment less likely to be associated with glycemic excursions.

Disclosure

Dr Rimei Nishimura has participated in speaker's bureau/advisory panels for Astellas, Astra Zeneca, Boehringer Ingelheim, Daiichi‐Sankyo, Eli Lilly, Johnson & Johnson, Kissei, Kowa, Medtronic, Novo Nordisk, Ono, Sanofi, Taisho, Takeda and Tanabe‐Mitsubishi, and served as a consultant for Abbott, Boehringer Ingelheim, Eli Lilly and Taisho. Dr Daisuke Tsujino has participated in speaker's bureau/advisory panels for Novo Nordisk, and has received research support from Boehringer Ingelheim and Takeda. Dr Kazunori Utsunomiya has received research support from Kowa, Kyowa Kirin, MSD, Ono and Tanabe‐Mitsubishi, and has participated in speaker's bureau/advisory panels for Astellas, Astra Zeneca, Kowa, MSD, Novo Nordisk and Sanofi. The other authors declare no conflict of interest.
  34 in total

1.  Morning hyperglycemic excursions: a constant failure in the metabolic control of non-insulin-using patients with type 2 diabetes.

Authors:  Louis Monnier; Claude Colette; Rémy Rabasa-Lhoret; Hélène Lapinski; Cécile Caubel; Antoine Avignon; Hélène Boniface
Journal:  Diabetes Care       Date:  2002-04       Impact factor: 19.112

2.  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

3.  Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes.

Authors:  Anushka Patel; Stephen MacMahon; John Chalmers; Bruce Neal; Laurent Billot; Mark Woodward; Michel Marre; Mark Cooper; Paul Glasziou; Diederick Grobbee; Pavel Hamet; Stephen Harrap; Simon Heller; Lisheng Liu; Giuseppe Mancia; Carl Erik Mogensen; Changyu Pan; Neil Poulter; Anthony Rodgers; Bryan Williams; Severine Bompoint; Bastiaan E de Galan; Rohina Joshi; Florence Travert
Journal:  N Engl J Med       Date:  2008-06-06       Impact factor: 91.245

Review 4.  Inhibition of DPP-4: a new therapeutic approach for the treatment of type 2 diabetes.

Authors:  Richard E Pratley; Afshin Salsali
Journal:  Curr Med Res Opin       Date:  2007-04       Impact factor: 2.580

5.  Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes.

Authors:  Louis Monnier; Emilie Mas; Christine Ginet; Françoise Michel; Laetitia Villon; Jean-Paul Cristol; Claude Colette
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

6.  Glucose tolerance and mortality: comparison of WHO and American Diabetes Association diagnostic criteria. The DECODE study group. European Diabetes Epidemiology Group. Diabetes Epidemiology: Collaborative analysis Of Diagnostic criteria in Europe.

Authors: 
Journal:  Lancet       Date:  1999-08-21       Impact factor: 79.321

Review 7.  The incretin system: glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes.

Authors:  Daniel J Drucker; Michael A Nauck
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

Review 8.  Dipeptidyl peptidase IV (DPP IV) inhibitors: A newly emerging drug class for the treatment of type 2 diabetes.

Authors:  Brian D Green; Peter R Flatt; Clifford J Bailey
Journal:  Diab Vasc Dis Res       Date:  2006-12       Impact factor: 3.291

9.  Role of AMP-activated protein kinase in mechanism of metformin action.

Authors:  G Zhou; R Myers; Y Li; Y Chen; X Shen; J Fenyk-Melody; M Wu; J Ventre; T Doebber; N Fujii; N Musi; M F Hirshman; L J Goodyear; D E Moller
Journal:  J Clin Invest       Date:  2001-10       Impact factor: 14.808

Review 10.  Gliptins: a new class of oral hypoglycaemic agent.

Authors:  H Chahal; T A Chowdhury
Journal:  QJM       Date:  2007-09-19
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  5 in total

1.  Glucocorticoids mobilize macrophages by transcriptionally up-regulating the exopeptidase DPP4.

Authors:  David Diaz-Jimenez; Maria Grazia Petrillo; Jonathan T Busada; Marcela A Hermoso; John A Cidlowski
Journal:  J Biol Chem       Date:  2020-01-27       Impact factor: 5.157

2.  Efficacy and safety of evogliptin treatment in patients with type 2 diabetes: A multicentre, active-controlled, randomized, double-blind study with open-label extension (the EVERGREEN study).

Authors:  Gyuri Kim; Soo Lim; Hyuk-Sang Kwon; Ie B Park; Kyu J Ahn; Cheol-Young Park; Su K Kwon; Hye S Kim; Seok W Park; Sin G Kim; Min K Moon; Eun S Kim; Choon H Chung; Kang S Park; Mikyung Kim; Dong J Chung; Chang B Lee; Tae H Kim; Moon-Kyu Lee
Journal:  Diabetes Obes Metab       Date:  2020-05-29       Impact factor: 6.577

3.  Influence of dipeptidyl peptidase-4 inhibitors on glycemic variability in patients with type 2 diabetes: A meta-analysis of randomized controlled trials.

Authors:  Shangyu Chai; Ruya Zhang; Ye Zhang; Richard David Carr; Yiman Zheng; Swapnil Rajpathak; Miao Yu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-09       Impact factor: 6.055

4.  Does Metformin Assist New Anti-Diabetic Drugs to Succeed?

Authors:  Hisayuki Kastuyama; Hidekatsu Yanai
Journal:  J Clin Med Res       Date:  2019-01-05

5.  Use of wearable biometric monitoring devices to measure outcomes in randomized clinical trials: a methodological systematic review.

Authors:  Carolina Graña Possamai; Philippe Ravaud; Lina Ghosn; Viet-Thi Tran
Journal:  BMC Med       Date:  2020-11-06       Impact factor: 8.775

  5 in total

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