Ipragliflozin Reduces Epicardial Fat Accumulation in Non-Obese Type 2 Diabetic Patients with Visceral Obesity: A Pilot Study.

INTRODUCTION: Epicardial fat (EF) was reported to be independently associated with cardiovascular disease regardless of obesity. We have previously reported that a sodium-glucose co-transporter-2 (SGLT2) inhibitor, luseogliflozin, reduces the EF volume (EFV) in parallel with the reduction of body weight in obese patients (BMI ≥25 kg/m2) with type 2 diabetes. However, it is unknown whether SGLT2 inhibitors could reduce EFV in non-obese patients (BMI <25 kg/m2) with type 2 diabetes. Therefore, we evaluated the effect of SGLT2 inhibitors on the EFV in non-obese type 2 diabetic patients with visceral obesity in this pilot study.
METHODS: Nine of type 2 diabetic patients (mean age 66 ± 8 years; 33% female) with HbA1c 6.5-9.0%, body mass index (BMI, kg/m2) <25.0, and visceral fat area (VFA, cm2) ≥100 were enrolled. Participants were administered ipragliflozin 50 mg daily. EFV [median (interquartile range), cm3] was measured by magnetic resonance imaging. Primary endpoint was the change in EFV at 12 weeks. VFA and liver attenuation index (LAI), skeletal muscle index (SMI), and body fat (%) were also assessed at baseline and at 12 weeks.
RESULTS: The EFV was significantly reduced from 102 (79-126) cm3 to 89 (66-109) cm3 by ipraglifrozin (p = 0.008). The body weight, BMI, HbA1c, fasting plasma glucose, insulin, homeostasis model assessment-insulin resistance, triglycerides, leptin, body fat, android, gynoid, and VFA were significantly reduced and high-density lipoprotein cholesterol was significantly increased by ipraglifrozin at 12 weeks, whereas SFA and LAI were unchanged. The change in EFV was significantly correlated with the change in BMI.
CONCLUSIONS: A12-week intervention of ipragliflozin reduced the EFV in non-obese type 2 diabetic patients with visceral adiposity. CLINICAL TRIAL REGISTRATION: UMIN Clinical Trial Registry: UMIN000019071. FUNDING: Astellas Pharma Inc. and the Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan.

Introduction

It is well established that obesity is associated with insulin resistance and increases the risk of type 2 diabetes and cardiovascular disease (CVD) [1-3]. As for body fat distribution, visceral fat (VF) accumulation has been more strongly associated with cardiometabolic risks than the body mass index (BMI), waist circumference, and abdominal subcutaneous fat accumulation [4, 5]. Indeed, we have previously reported that VF accumulation is independently associated with the progression of arterial stiffness assessed by brachial-ankle pulse wave velocity (baPWV) in non-obese (BMI <25 kg/m2) patients with type 2 diabetes [6]. Consequently, VF accumulation is thought to be a therapeutic target in non-obese patients with type 2 diabetes as well as obese patients. In addition to VF, epicardial fat (EF), a fat deposit located between the heart and the pericardium, is one of the phenotypes of ectopic fat accumulation [7, 8]. EF has the same embryological origin as VF [9] and is correlated with the degree of obesity (BMI) [10]. It has also been reported that EF is associated with cardiometabolic risks including insulin resistance [11, 12], produces proinflammatory cytokines as well as VF [7], and patients with high EF are at an increased risk for both fatal and nonfatal coronary events, independently of traditional cardiovascular risk factors [13], suggesting that EF may be implicated in the pathogenesis of atherosclerosis, especially coronary artery disease. Among non-obese patients who were suspected of coronary artery disease, EF was shown to be associated with coronary plaques [14, 15]. Given these findings, it is possible that EF may play an important role in developing an unfavorable cardiovascular risk profile and CVD, regardless of obesity.

Sodium-glucose co-transporter-2 (SGLT2) inhibitors are a new group of oral medications for the treatment of type 2 diabetes through the suppression of reabsorption of glucose in the proximal tubule. Recently, the EMPA-REG outcome study demonstrated favorable cardiovascular outcomes in diabetic patients treated with empagliflozin [16]. It has been suggested that the outcomes are caused by not only the improvement of glycemic control but also the multifactorial changes in cardiovascular risk profiles including a decline in weight, blood pressure, albuminuria, and visceral fat, and an improvement of insulin sensitivity [17-20]. Although the precise mechanism of the favorable effects of SGLT2 inhibitors on CVD is still fully unknown, it is expected that the reduction of EF volume (EFV) in addition to the reduction of either body weight or VF may be associated with the improvement of cardiovascular outcomes. We previously reported that an SGLT2 inhibitor, luseogliflozin, could reduce the EFV in parallel with the improvement of systemic microinflammation and the reduction of body weight in obese (BMI ≥25 kg/m2) patients with type 2 diabetes [21]. However, it is unknown whether SGLT2 inhibitors reduce the EFV in non-obese (BMI <25 kg/m2) patients with type 2 diabetes. Among SGLT2 inhibitors, ipraglifrozin has been reported to sufficiently improve hyperglycemia and its safety was unaffected by BMI in a pooled analysis of Japanese patients with type 2 diabetes [22]. Therefore, we conducted a pilot study to investigate the effect of ipragliflozin on the EFV in non-obese Japanese patients with type 2 diabetes.

Methods

Study Design

Patients with type 2 diabetes who were non-obese (BMI <25.0 kg/m2) but had an increased visceral adiposity (a visceral fat area (VFA) ≥100 cm2] were enrolled in this 12-week single-arm pilot study from 15 October 2015 to 31 August 2016. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Informed consent was obtained from all patients for being included in the study. This study has been approved by the ethical committee of Tokyo Medical and Dental University (No. 2109). This study was registered at the UMIN Clinical Trial Registry (UMIN000019071).

Subjects

Patients with type 2 diabetes aged older than 20 years who regularly visited the Tokyo Medical and Dental University Hospital were screened in this study. Patients who met the following criteria at the start of the treatment were eligible for the study: (1) they were diagnosed as having type 2 diabetes according to the criteria of the Japan Diabetes Society (JDS) [23], (2) they had a BMI less than 25 kg/m2, (3) their HbA1c levels were between 6.5% and 9.0%, (4) VFA was equal to or greater than 100 cm2. Patients who met any of the following criteria were excluded from the study: (1) any history of taking SGLT2 inhibitors, (2) insulin treatment, (3) active infection, malignancy, congestive heart failure, severe liver, and renal diseases, (4) severe diabetic retinopathy, (5) pregnant women, (6) any history of acute coronary syndrome or stroke within 3 months prior to the enrollment, (7) patients whose treatment for diabetes was changed 3 months prior to baseline evaluation, (8) those who had contraindications for magnetic resonance imaging (MRI). Written informed consent was obtained from all patients before the enrollment.

Intervention

The patients were administered 50 mg of ipragliflozin once daily after breakfast. During the study period of 12 weeks, antihyperglycemic agents were unchanged, except when unacceptable hyperglycemia, hypoglycemia, or adverse events occurred. The diet and exercise therapy were kept unchanged during the study.

Clinical and Biochemical Analysis

The BMI was calculated as the weight divided by the square of the height (kg/m2). The systolic and diastolic blood pressures (SBP and DBP) were measured in a sitting position after at least 5 min rest, using an electronic sphygmomanometer (ES-H55, Terumo Inc., Tokyo, Japan). Blood samples were collected at an overnight fasting state. Routine tests included alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transpeptidase (γ-GTP), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, triglycerides, uric acid, C-reactive protein, hemoglobin, and hematocrit. HbA1c was measured using the latex agglutination method. The insulin sensitivity was assessed by a homeostasis model assessment as an index of insulin resistance (HOMA-IR) in patients whose fasting plasma glucose levels were less than 7.8 mmol/l. Urinary albumin and creatinine excretion were measured in a spot urine collection by a turbidimetric immunoassay and enzymatic method. The ratio [albumin-to-creatinine ratio (ACR), mg/g] was used for the assessment of albuminuria. The GFR was calculated using the equation for the Japanese [24]. Adiponectin, leptin, and interleukin 6 (IL-6) were measured using latex turbidimetric immunoassay, double-antibody radioimmunoassay, and chemiluminescent enzyme immunoassay, respectively.

Quantification of Body Composition Measured by DXA and Abdominal CT

The whole body DXA (Lunar iDXA, GE Healthcare, Madison, WI) was used for the assessment of the regional fat and fat-free mass as described previously [25]. The skeletal muscle index (SMI) was calculated as follows: the appendicular non-fat mass divided by the square of the height (kg/m2). The body fat (%) was calculated as the whole body fat mass (kg) divided by the weight (kg). The abdominal computed tomography (CT) examination (Aquilion PRIME, Toshiba Medical Systems, Tochigi, Japan) was used for the assessment of VFA, subcutaneous fat area (SFA), and liver attenuation index (LAI) as described previously [25, 26]. The LAI was defined as the average attenuation value of the liver (eight points) divided by the average attenuation value of the spleen (three points).

Quantification of Epicardial Fat Volume Measured by MRI

The EFV was measured using a 1.5-T MRI system (Achieva Dual, Philips Healthcare, Netherlands or Titan, Toshiba Medical Systems, Japan) with a 32-channel commercially available cardiac coil and was assessed using a modified fat excitation based on the whole-heart coronary MR angiography sequence [27]. A patient-specific acquisition window was set during either systole or diastole, depending on the phase of minimal motion of the right coronary artery. Typical parameters of the sequence included repetition time, 3.2 ms; echo time, 1.6 ms; flip angle, 15°; sensitivity-encoding factor, 2.5; field of view, 330 × 330 × 128 mm; acquisition matrix, 248 × 238; acquired spatial resolution, 1.3 × 1.4 × 1.6 mm, and reconstructed voxel size, 0.64 × 0.64 × 0.8 mm. All MR images were transferred to a workstation (Ziostation 2, Japan). Semiautomatic analyses of EFV were performed by an experienced operator blinded to the clinical information.

Study Endpoints

The primary endpoint of this study was the change in EFV during the follow-up of 12 weeks. The secondary analyses included the changes in the following variables at 12 weeks: VFA, SFA, SMI, LAI, HbA1c, HOMA-IR, blood pressure, lipid profile, ACR, C-reactive protein (CRP), adiponectin, leptin, and IL-6.

Statistical Analysis

Statistical analysis was carried out using an IBM SPSS version 21.0 statistical package (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.). Data are presented as the mean ± standard deviation (SD), median with interquartile range (IQR), or percentage as appropriate according to the data distribution. Pearson product-moment correlation analysis was used to investigate the correlation of EFV with the markers for body composition and cardiometabolic risks. The primary endpoint was analyzed using the Wilcoxon signed-rank test. The secondary endpoints were also analyzed by paired t test or Wilcoxon signed-rank test. P values less than 0.05 were considered to be statistically significant.

Results

Demographics

Ten patients were recruited and informed consent was obtained from all subjects. At baseline, one patient was excluded because the VFA level was less than 100 cm2 and finally nine patients [age 66 ± 8 (range 47–74) years, female 33%] completed the study. Table 1 presents the baseline demographic data and Table 2 shows the medications at baseline.

Table 1

Clinical characteristics at baseline and at 12 weeks after the administration of ipragliflozin in patients with type 2 diabetes

	Baseline	12 weeks	p values
Age (years)	66 ± 8
Gender (% female)	33
SBP (mmHg)	135 ± 16	129 ± 14	0.143
DBP (mmHg)	89 ± 14	84 ± 10	0.204
Body weight (kg)	59.3 ± 7.8	58.1 ± 7.8	0.011
Body mass index (kg/m2)	22.6 ± 1.8	22.1 ± 1.8	0.011
Waist circumference (cm)	86 ± 6	86 ± 6	0.973
HbA1c (mmol/mol)	55.1 ± 6.8	50.9 ± 4.1	0.011
HbA1c (%)	7.2 ± 0.6	6.8 ± 0.4	0.011
Plasma glucose (mmol/l)	7.7 (7.1–8.7)	6.9 (6.0–7.6)	0.050
Insulin (μU/ml)	9.1 (6.4–12.2)	7.1 (5.2–9.8)	0.022
HOMA-IR (N = 7)	2.28 (1.44–2.97)	1.84 (1.41–2.02)	0.007
Triglycerides (mmol/l)	2.49 (0.87–2.91)	1.66 (0.75–4.04)	0.878
HDL cholesterol (mmol/l)	1.43 ± 0.34	1.54 ± 0.35	0.042
LDL cholesterol (mmol/l)	2.92 ± 1.03	2.81 ± 1.08	0.409
AST (U/l)	21 (18–54)	29 (18–39)	0.878
ALT (U/l)	26 (16–55)	25 (15–48)	0.476
γ-GTP (U/l)	70 (32–149)	69 (31–90)	0.173
Estimated GFR (ml/min/1.73 m2)	79.5 ± 17.1	77.3 ± 15.8	0.488
Urinary ACR (mg/g)	14 (11–17)	15 (8–32)	0.510
Uric acid (μmol/L)	326 ± 68	281 ± 70	0.006
Hemoglobin (g/dl)	14.9 ± 1.6	15.7 ± 1.3	0.019
CRP (mg/l)	0.55 (0.33–3.48)	0.40 (0.33–1.58)	0.476

ACR albumin-to-creatinine ratio, ALT alanine transaminase, AST aspartate transaminase, CRP C-reactive protein, DBP diastolic blood pressure, GFR glomerular filtration ratio, GTP glutamyl transpeptidase, HDL high-density lipoprotein, HOMA-IR homeostasis model assessment as an index of insulin resistance, LDL low-density lipoprotein, SBP systolic blood pressure

Table 2

Medications at baseline

Sulfonylureas (%)	0
Biguanides (%)	67
Alpha-GIs (%)	11
Glinides (%)	22
TZDs (%)	0
DPP4 inhibitors (%)	33
GLP1 receptor agonists (%)	0
ARBs (%)	33
Calcium channel blockers (%)	22
Statins (%)	33
Ezetimib (%)	11
Antiplatelet agents (%)	11

ARBs angiotensin receptor blockers, DPP4 dipeptidyl peptidase-4, GIs glycosidase inhibitors, GLP1 glucagon-like peptide-1, TZDs thiazolidinediones

Efficacy and Safety

As shown in Fig. 1, the EFV was significantly reduced by the administration of ipraglifrozin from 102 (79–126) cm3 to 89 (66–109) cm3 (p = 0.008). The body weight, BMI, plasma glucose, insulin, HOMA-IR, and uric acid levels were significantly decreased and the HDL cholesterol and hemoglobin levels were significantly increased by the ipraglifrozin treatment. The ipraglifrozin did not affect the renal function. Table 3 shows the changes in the body composition before and after the administration of ipraglifrozin. The whole body fat mass, percentage body fat, android, and gynoid were significantly decreased by the ipraglifrozin treatment. In contrast, neither non-fat mass nor SMI was changed at 12 weeks after the administration of ipraglifrozin. In addition, VFA was significantly decreased, whereas SFA was not decreased at 12 weeks after the administration of ipraglifrozin (Fig. 2). When considering the effect of ipraglifrozin on the circulating adipokine levels, the leptin level was significantly decreased by the ipraglifrozin treatment, whereas adiponectin and IL-6 level were unchanged by the ipraglifrozin (Fig. 3). No severe adverse events including severe genitourinary infection and hypoglycemia were observed during the study period.

Fig. 1

Epicardial fat (EF) volume at baseline and at 12 weeks after the administration of ipraglifrozin. Data are presented as the median with interquartile range

Table 3

Changes in body composition after the administration of ipragliflozin in patients with type 2 diabetes

	Baseline	12 weeks	p values
Body fat (%)	31.9 ± 5.5	31.1 ± 5.9	0.024
Non-fat mass in upper extremities (kg)	4.7 (3.8–5.2)	4.7 (3.6–5.1)	0.903
Non-fat mass in lower extremities (kg)	12.4 (11.2–13.8)	12.6 (11.4–13.6)	0.799
Android (kg)	2.0 (1.7–4.4)	1.8 (1.6–2.1)	0.013
Gynoid (kg)	2.6 (2.2–7.2)	2.3 (2.0–2.4)	0.009
Total fat mass (kg)	18.6 (17.3–20.6)	18.2 (16.7–19.5)	0.004
Total non-fat mass (kg)	41.4 (37.2–43.3)	41.1 (36.5–43.3)	0.241
Skeletal muscle index	6.50 (6.19–6.74)	6.49 (6.01–6.70)	0.386

Fig. 2

Abdominal visceral fat area (VFA) and subcutaneous fat area (SFA) at baseline and at 12 weeks after the administration of ipraglifrozin. Data are presented as the median with interquartile range

Fig. 3

Plasma adipokine levels (adiponectin, leptin, and interleukin-6 [IL-6]) at baseline and at 12 weeks after the administration of ipraglifrozin. Data are presented as the median with interquartile range

Correlation of Changes in EFV with Changes in Markers for Body Composition and Cardiometabolic Risks by Ipragliflozin

Table 4 shows the correlation of the changes in EFV with the changes in the markers for body composition, cardiometabolic risks, and adipokines. The change in EFV was significantly correlated with the changes in both weight and BMI. The changes in hepatic fat (LAI) and visceral fat (VFA) accumulation and muscle mass (SMI) were not correlated with the change in EFV. No significant correlation was observed between EFV and cardiometabolic risk factors and adipokines in this study.

Table 4

Correlations of the changes of epicardial fat volume with markers for body composition and the markers for cardiometabolic risks in patients with type 2 diabetes

	r	p values
Body weight (kg)	0.710	0.032
Body mass index (kg/m2)	0.740	0.023
Liver attenuation index	0.233	0.546
Visceral fat are (cm2)	0.467	0.205
Subcutaneous fat area (cm2)	0.733	0.025
Body fat (%)	0.213	0.582
Total fat mass (kg)	0.260	0.500
Total non-fat mass (kg)	0.477	0.195
Skeletal muscle index	0.342	0.368
HbA1c (%)	0.341	0.370
HOMA-IR	−0.383	0.308
Triglycerides (mmol/l)	−0.067	0.865
HDL cholesterol (mmol/l)	−0.395	0.292
ALT (U/l)	−0.372	0.325
Log C-reactive protein (mg/l)	−0.435	0.242
Log ACR (mg/g)	0.233	0.546
Adiponectin (μg/ml)	0.071	0.867
Leptin (ng/ml)	−0.405	0.320
Log interleukin 6 (pg/ml)	−0.262	0.531

ACR albumin-to-creatinine ratio, ALT alanine transaminase, HDL high-density lipoprotein, HOMA-IR homeostasis model assessment as an index of insulin resistance

Discussion

We demonstrate in this single-arm pilot study that an SGLT2 inhibitor, ipragliflozin, significantly reduces EFV in parallel with the reduction of weight and the improvement of glycemic control, lipid profile, and insulin resistance in non-obese type 2 diabetic patients with increased visceral adiposity. We have previously reported that non-obese type 2 diabetic patients with increased visceral adiposity have a high risk for the accumulation of cardiometabolic risk factors and for the prevalent fatty liver disease [26]. We have further demonstrated that high visceral fat with normal weight is strongly associated with the risk for the progression of arterial stiffness among diabetic population [6]. Given these findings, it seems important to reduce adipose tissue including visceral fat for the prevention of future cardiovascular events even in patients without obesity. To our knowledge, this is the first study to examine the effect of SGLT2 inhibitors on the EFV in non-obese patients with type 2 diabetes.

EF accumulation has recently been reported to be associated with a non-calcified coronary plaque [13, 28, 29] and cardiometabolic risks including insulin resistance [11, 12]. The Heinz Nixdorf Recall Study, a population-based prospective cohort study of 4093 participants, revealed that EF accumulation independently increased the risk of both fatal and nonfatal coronary events even after adjustment for traditional cardiovascular risk factors [13]. The study also showed that diabetes is significantly correlated with EFV. Diabetes per se was recently reported to be associated with cardiac structural abnormalities regardless of obesity [30]. In the study, myocardial triglyceride contents measured by the magnetic resonance spectroscopy was significantly higher in non-obese patients with type 2 diabetes compared with non-diabetic subjects. It is therefore conceivable that the EFV could be associated with the risk for CVD in non-obese patients with diabetes. In our study, the administration of ipragliflozin significantly reduced EFV (Fig. 1), presumably contributing to the prevention of future CVD even in non-obese patients with diabetes.

Several previous studies have mentioned the potential of exercise and medications to reduce EFV. Kim et al. presented evidence that aerobic exercise training reduces EF as well as VF and weight in obese men [31]. In diabetic patients, some antidiabetic medications have been reported to be effective in the reduction of EFV. Sacks et al. showed the possibility that treatment with pioglitazone in type 2 diabetic patients with coronary artery disease reduced proinflammatory cytokines in the EF [32]. In addition, the treatment with sitagliptin was reported to be associated with the reduction of EF in patients who were taking metformin as monotherapy [33]. The treatment with liraglutide, a glucagon-like peptide-1 receptor agonist, was also indicated to contribute to the reduction of EF, independently of weight loss [34]. Additionally, we reported that an SGLT2 inhibitor, luseogliflozin, could reduce the EFV in parallel with weight reduction in type 2 diabetic patients with obesity [21]. However, these results were obtained from obese patients, and little has been reported regarding the preferable effects of diabetic medications on the EF in non-obese patients with diabetes. To our knowledge, we showed for the first time the effects of ipraglifrozin on the EF in non-obese patients with type 2 diabetes. Thus, SGLT2 inhibitors may be involved in the therapeutic approach of diabetes aimed at the reduction of EFV even in patients without obesity.

In the present study, we also revealed that the administration of ipraglifrozin reduces the leptin level (Fig. 3). Leptin is secreted by adipocytes and regulates both food intake and energy expenditure [35]. It is well known that serum level of leptin was significantly and positively correlated with BMI and percentage of body fat [36]. In our research, we demonstrated that the administration of ipraglifrozin reduces the body weight and BMI (Table 1), leading to the reduction in leptin. The linear relationship between leptin and BMI level was observed even in non-obese people [37]. Meanwhile some studies reported that increased leptin level was associated with cardiometabolic risks and atherosclerosis independently of BMI. Reilly et al. reported that plasma leptin level is associated with coronary artery calcification after adjustment for BMI in patients with type 2 diabetes [38]. A recent meta-analysis also showed that the level of leptin is significantly associated with cardiometabolic risks including high blood pressure and dyslipidemia even after adjustment for the BMI [39]. These findings indicate that the reduction in level of leptin by ipraglifrozin may contribute to the prevention of future CVD in non-obese patents as well as EF.

Regarding the correlations between the changes of the markers for body composition and cardiometabolic risks and EF, the changes of body weight, BMI, and SFA were significantly correlated with that of EF (Table 4). Declines in body weight and BMI were reported to be associated with the decline in EF in severely obese subjects [10, 40]. SFA was also reported to be decreased in parallel with the decline in body weight in patients receiving bariatric surgery [41]. Our results (Table 4) are consistent with these reports. In addition to body weight, BMI, and SFA, several studies showed that VFA was strongly correlated with EFV [42, 43]. However, Gaborit et al. demonstrated that the decline in EFV is not associated with that in VFA, and the authors also reported the possibility that sleep apnea syndrome impaired the reduction of EFV in patients receiving bariatric surgery [44]. Consistently with the report by Gaborit et al., we did not observe a significant correlation between the change of EFV and that of VFA.

In contrast to the favorable effects of ipraglifrozin, the reduction of lean mass including skeletal muscle mass was accompanied by the reduction of weight caused by the administration of SGLT2 inhibitors [45]. The reduction of skeletal muscle mass is a component of sarcopenia which is defined as the progressive loss of muscle mass and function with aging [46, 47]. Other than aging, diabetic patients are also reported to be at a high risk of sarcopenia [48]. In addition, low BMI is a strong predictor of reduced skeletal muscle mass [49]. These previous studies suggest that the administration of SGLT2 inhibitors should be carefully considered in non-obese patients with type 2 diabetes, although SMI was not decreased by the ipraglifrozin treatment in our study.

The strength of our study is that the EFV was measured using MRI which is recognized as the gold standard modality for imaging EFV because of the measurement accuracy [9]. Potential limitations of our study include the study design (single-arm), small sample size, no information on the diet and exercise, and ethnically homogenous population (Japanese). In addition, although diet, exercise, or some antidiabetic medications remained unchanged during the participation period of this study, these were reported to affect the epicardial fat accumulation as well as body weight and could be confounding factors in the association between treatment of ipragliflozin and reduction of epicardial fat due to the single-arm design. Further large randomized controlled trials are needed to confirm the impact of ipragliflozin or SGLT2 inhibitors for the reduction of epicardial fat in non-obese type 2 diabetic patients.

Conclusions

We demonstrate that EFV and leptin can be reduced by the treatment of ipraglifrozin which is accompanied with the reduction of weight and with the improvement of glycemic control, lipid profile, and insulin resistance in non-obese Japanese patients with type 2 diabetes.