Literature DB >> 30116437

Long-Term Effects of Ipragliflozin on Diabetic Nephropathy and Blood Pressure in Patients With Type 2 Diabetes: 104-Week Follow-up of an Open-Label Study.

Daisuke Ito1,2, Kazuyuki Inoue1, Takashi Sumita1,2, Keiko Hamaguchi3, Kimie Kaneko3, Morifumi Yanagisawa4, Kouichi Inukai5, Ikuo Inoue1, Mitsuhiko Noda1, Akira Shimada1.   

Abstract

BACKGROUND: In our previous study, we investigated the efficacy of ipragliflozin, a sodium-glucose cotransporter (SGLT) 2 inhibitor on diabetic nephropathy in patients with type 2 diabetes and demonstrated that ipragliflozin significantly improved diabetic nephropathy in addition to reducing HbA1c and body weight. Herein, we conducted post-trial monitoring to determine whether these lowering effects on blood glucose and body weight or the beneficial effects on diabetic nephropathy were maintained long-term (104 weeks) after starting ipragliflozin treatment.
METHODS: Initially, during a 24-week interventional trial period, a 50 mg dose of ipragliflozin was administered to 50 patients with type 2 diabetes without changing other treatments. During the post-trial monitoring period, these patients returned to hospital-based diabetes care according to their clinical needs. We continued monitoring their clinical data for 104 weeks in each hospital and analyzed the results on an intention-to-treat basis.
RESULTS: The improvements in glycemic control and body weight reduction provided by 24-week ipragliflozin administration were maintained for 104 weeks. Despite a transient decrease during the intervention period, the estimated glomerular filtration rate (eGFR) was restored to near the baseline level at 104 weeks. Notably, in patients with diabetic nephropathy, the median urinary albumin-to-creatinine ratio (UACR) was significantly decreased from 119.2 (98.9 - 201.8) at baseline to 36.9 (19.7 - 204.7) mg/gCr at 104 weeks. In addition, eGFR was stable for 104 weeks, showing no decrease. In contrast, a significant positive correlation between UACR and blood pressure observed at 24 weeks disappeared after discontinuation of the intervention therapy.
CONCLUSIONS: The well-controlled HbA1c and body weight reductions were maintained for 104 weeks of post-trial follow-up. Moreover, ipragliflozin significantly reduced urinary albumin excretion in patients with diabetic nephropathy without decreasing eGFR.

Entities:  

Keywords:  Blood pressure; Diabetic nephropathy; Ipragliflozin; Long-term; Sodium-glucose cotransporter 2 inhibitor; Type 2 diabetes

Year:  2018        PMID: 30116437      PMCID: PMC6089574          DOI: 10.14740/jocmr3491w

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


Introduction

Sodium-glucose cotransporter (SGLT) 2 inhibitors reduce rates of hyperglycemia in patients with diabetes by decreasing renal glucose reabsorption, thereby increasing urinary glucose excretion [1]. In addition to their glucose-lowering actions, SGLT2 inhibitors exert favorable effects on various biomarkers, including body weight [2-4], blood pressure [5], albuminuria [6], and fatty liver [7], as well as also possibly reducing the risk of serious cardiovascular complications, diabetic kidney disease, and death [8-10]. In the EMPA-REG OUTCOME trial, empagliflozin, an SGLT2 inhibitor, reduced the risk of major adverse cardiovascular events in patients with type 2 diabetes at high risk for such events [9]. In the sub-analysis of the EMPA-REG OUTCOME trial that evaluated renal events, empagliflozin was associated with slower progression of kidney disease and lower rates of clinically relevant renal events [10]. Although SGLT2 inhibitors are highly anticipated to exert renoprotective effects, the question of whether improved glucose control persisted and whether such therapy exerted a long-term effect on diabetic nephropathy and blood pressure in routine clinical practice remains unclear. Our previous study, an open-label, 24-week, prospective, multicenter trial, investigated the efficacy of ipragliflozin, an SGLT2 inhibitor, on diabetic nephropathy and blood pressure in patients with type 2 diabetes (UMIN Clinical Trials Registry, number UMIN000022615) [11]. The study demonstrated that ipragliflozin significantly reduced the median urinary albumin-to-creatinine ratio (UACR). In addition, HbA1c and body weight were also significantly decreased. Sub-analysis by renal function at baseline revealed the estimated glomerular filtration rate (eGFR) to be significantly decreased only in patients with apparent glomerular hyperfiltration. In contrast, although no significant changes in blood pressure levels were observed in the previous study, subgroup analysis of patients with poorly controlled blood pressure, showed significant decreases in both systolic blood pressure (SBP) and diastolic blood pressure (DBP) following 24 weeks of treatment with ipragliflozin. Furthermore, the change in UACR revealed a significant positive correlation with that in blood pressure at 24 weeks, independently of the presence of diabetic nephropathy [11]. We report herein the results of a 104-week, post-interventional follow-up of our previous study examining whether the lowering effects on blood glucose and body weight with ipragliflozin persisted after the intervention therapy completion and whether ipragliflozin had a long-term beneficial effect on diabetic nephropathy.

Materials and Methods

Patients

The study protocol, patient recruitment and methods for the intervention study were reported previously [11]. This study included participants from three hospitals in Japan and was conducted between May 2014 and April 2016, based on the ethical principles outlined in the Declaration of Helsinki. Informed consent was obtained from all patients. Patients were between 20 and 75 years of age, with HbA1c (NGSP) values of 6.5-11.0% and a body mass index (BMI) of 22 - 45 kg/m2. Patients with type 2 diabetes managed with diet and exercise therapy alone or antidiabetic drugs other than SGLT2 inhibitors, with or without insulin, were eligible to participate in this study. The main exclusion criteria included history of serious diabetic complications, findings suggestive of insulin dependency, heart failure (New York Heart Association Class III or IV), history of myocardial or cerebral infarction, eGFR < 45 mL/min/1.73 m2, serum creatinine ≥ 1.5 mg/dL, and hepatic dysfunction.

Post-trial monitoring

All patients were enrolled in post-trial monitoring after the intervention study closed in September 2016. Patients returned to hospital-based diabetes care according to their clinical needs, with no attempt to maintain ipragliflozin administration. They were followed for 104 weeks in each hospital or clinic, with ongoing collection of outcome data; measurements of body weight, blood pressure, HbA1c, fasting plasma glucose, fasting plasma insulin, UACR, eGFR, aspartate aminotransferase, alanine aminotransferase, γ-glutamyltransferase, fasting serum lipids, serum uric acid, serum creatinine, and hematocrit. This study also included homeostasis model assessment (HOMA) of insulin resistance (HOMA-IR) and β-cell function (HOMA-β). This study was approved by institutional review boards or independent ethics committees of the participating facilities, and was registered with the UMIN Clinical Trials Registry, number UMIN000031157.

Statistical analysis

The statistical analyses were performed on an intention-to-treat population. Data were presented as means ± standard deviation (SD) or medians with the interquartile range (IQR). Statistical analyses were performed by means of appropriate parametric and nonparametric methods. Changes in continuous measures between baseline and post-treatment periods were tested by means of a paired t-test. Nonparametric methods were used for non-normally distributed values. Changes from baseline in UACR at week 104 were analyzed using the Wilcoxon signed-rank test. The relationship between changes in UACR and blood pressure was assessed using Pearson’s correlation coefficients. All analyses were performed with SPSS Statistics, version 22.0 (IBM Corp., Armonk, USA). A P-value < 0.05 was considered statistically significant. For the safety assessment, we determined the frequency of adverse events (AEs) and the percentage of patients affected. AEs were coded according to the Medical Dictionary for Regulatory Activities (MedDRA/J version 21.0, Japanese Maintenance Organization, Tokyo, Japan).

Results

In total, 50 patients eligible to participate in the study were treated with 50 mg of ipragliflozin and then followed up for 24 weeks (Fig. 1). The baseline characteristics of all patients and those with diabetic nephropathy, defined as the presence of microalbuminuria (UACR ≥ 30 mg/gCr), who entered post-trial monitoring are shown in the left and right columns, respectively, of Table 1. Forty-seven patients completed the post-trial monitoring for 104 weeks, and 43 of these patients were still being treated with ipragliflozin at 104 weeks (Fig. 1).
Figure 1

Enrollment and outcomes.

Table 1

Baseline Characteristics

All patientsDiabetic nephropathy
Number of patients5016
Male/female (n)16/346/10
Age (years)53.2 ± 12.553.8 ± 13.3
Duration of diabetes (years)9.1 ± 6.09.9 ± 7.2
Body mass index (kg/m2)30.6 ± 6.232.1 ± 4.5
Fasting C-peptide (ng/mL)3.4 ± 1.83.5 ± 1.03
Medications
  Metformin (%)31 (62.0%)10 (62.5%)
  DPP-4 inhibitor (%)31 (62.0%)8 (50.0%)
  Sulfonylurea (%)10 (20.0%)2 (12.5%)
  Insulin (%)12 (24.0%)5 (31.3%)
  ARB or ACE inhibitor (%)32 (64.0%)13 (81.3%)
  Statin (%)32 (64.0%)10 (62.5%)

Data are n (%), means ± standard deviation (SD). DPP-4: dipeptidyl peptidase-4; ARB: angiotensin II receptor blocker; ACE: angiotensin-converting enzyme.

Enrollment and outcomes. Data are n (%), means ± standard deviation (SD). DPP-4: dipeptidyl peptidase-4; ARB: angiotensin II receptor blocker; ACE: angiotensin-converting enzyme.

All patients

Table 2 shows the changes in parameters for all 50 patients receiving post-trial monitoring. In these 50 patients, the significant reductions in HbA1c, fasting plasma glucose, and body weight observed at 24 weeks were sustained throughout the post-trial monitoring period (P < 0.001, P = 0.020, P < 0.001, respectively). Whiles the eGFRs were decreased during the intervention period, they were restored to levels similar to those at the baseline by 104 weeks. There were no significant changes in either SBP or DBP at after 104 weeks of treatment versus the baseline values (Table 2).
Table 2

Changes in the Parameters of All Patients Between Baseline and Week 104 (n = 50)

Interventional trial period
P value (week 24 vs. baseline)Post-trial monitoring period
P value (week 104 vs. baseline)
BaselineWeek 24Week 52Week 104
HbA1c (%)8.7 ± 1.57.7 ± 1.2< 0.0017.7 ± 1.37.6 ± 1.2< 0.001
Fasting plasma glucose (mg/dL)165.5 ± 40.5137.6 ± 25.6< 0.001148.1 ± 39.4146.9 ± 34.70.020
Body weight (kg)78.4 ± 19.775.8 ± 20.1< 0.00176.0 ± 20.176.5 ± 20.6< 0.001
UACR (mg/gCr)15.5 (8.0 - 95.7)12.9 (7.4 - 36.3)0.01115.2 (8.0 - 39.0)14.0 (7.3 - 34.6)0.053
eGFR (mL/min/1.73m2)82.1 ± 19.878.5 ± 17.40.00782.2 ± 20.781.0 ± 20.20.526
SBP (mm Hg)131.8 ± 13.1130.1 ± 13.00.389130.1 ± 14.9130.5 ± 12.00.755
DBP (mm Hg)80.7 ± 11.080.8 ± 10.50.88880.9 ± 12.979.4 ± 10.90.411
Fasting serum insulin (µU/mL)13.4 ± 6.313.2 ± 11.50.92413.4 ± 11.712.9 ± 11.20.745
HOMA-IR5.5 ± 3.44.7 ± 5.00.3785.0 ± 5.04.7 ± 4.80.369
HOMA-β (%)54.7 ± 35.367.0 ± 44.00.06462.4 ± 45.461.1 ± 42.90.336
Total cholesterol (mg/dL)180.8 ± 39.8184.1 ± 39.80.274178.4 ± 34.9182.3 ± 33.30.720
LDL-cholesterol (mg/dL)106.1 ± 32.2109.3 ± 34.10.199105.2 ± 30.1107.7 ± 25.90.655
HDL-cholesterol (mg/dL)48.3 ± 9.5154.1 ± 10.4< 0.00152.6 ± 9.553.5 ± 8.8< 0.001
Triglycerides (mg/dL)157.1 ± 77.3134.1 ± 71.70.028149.1 ± 80.7159.8 ± 98.30.849
AST (IU/L)39.4 ± 16.726.0 ± 8.6< 0.00128.2 ± 11.833.1 ± 19.70.044
ALT (IU/L)56.2 ± 29.735.6 ± 19.5< 0.00138.8 ± 21.044.6 ± 33.40.003
γ-GT (IU/L)62.3 ± 55.641.0 ± 34.5< 0.00145.1 ± 57.554.0 ± 84.00.396
Uric acid (mg/dL)5.5 ± 1.34.7 ± 1.1< 0.0014.9 ± 1.24.9 ± 1.3< 0.001
Serum creatinine (mg/dL)0.68 ± 0.160.71 ± 0.160.0110.68 ± 0.160.68 ± 0.170.721
Hematocrit (%)42.6 ± 4.145.4 ± 4.5< 0.00144.8 ± 4.845.5 ± 4.3< 0.001

Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). P value versus baseline by the paired t-test. †P value versus baseline by the Wilcoxon signed-rank test. HbA1c: glycated hemoglobin; UACR: urinary albumin-to-creatinine ratio; eGFR: estimated glomerular filtration rate; SBP: systolic blood pressure; DBP: diastolic blood pressure; HOMA-IR: homeostasis model assessment of insulin resistance; HOMA-β: homeostasis model assessment of β-cell function; LDL-cholesterol: low-density lipoprotein cholesterol; HDL-cholesterol: high-density lipoprotein cholesterol; AST: aspartate aminotransferase; ALT: alanine aminotransferase; γ-GT: γ- glutamyltransferase.

Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). P value versus baseline by the paired t-test. †P value versus baseline by the Wilcoxon signed-rank test. HbA1c: glycated hemoglobin; UACR: urinary albumin-to-creatinine ratio; eGFR: estimated glomerular filtration rate; SBP: systolic blood pressure; DBP: diastolic blood pressure; HOMA-IR: homeostasis model assessment of insulin resistance; HOMA-β: homeostasis model assessment of β-cell function; LDL-cholesterol: low-density lipoprotein cholesterol; HDL-cholesterol: high-density lipoprotein cholesterol; AST: aspartate aminotransferase; ALT: alanine aminotransferase; γ-GT: γ- glutamyltransferase.

Subgroup analysis based on renal function

Figure 2 shows the subgroup analysis results for patients categorized according to their renal function at baseline into three groups: high (H, eGFR ≥ 90, n = 20), medium (M, eGFR ≥ 60 to < 90, n = 22), and low (L, eGFR < 60, n = 8). After 24 weeks of treatment with ipragliflozin, HbA1c in the H and M groups was significantly decreased, and these significant reductions persisted until 104 weeks (P < 0.001, respectively), whereas HbA1c in the L group tended to be decreased at 104 weeks but the reduction did not reach statistical significance (P = 0.066) (Fig. 2a). The body weights of patients in all three groups remained significantly decreased through 104 weeks, regardless of baseline renal function (Fig. 2b). At 104 weeks, the median UACR had significantly decreased from 12.3 (7.5 - 89.6) at baseline to 8.2 (5.6 - 15.7) mg/gCr only in the H group (P = 0.001), with no significant difference in the median UACR in either the M or the L group (Fig. 2d). In contrast, although the mean eGFR in the H group was significantly decreased at 24 weeks, this significant reduction had disappeared at 104 weeks (Fig. 2c). The M and L groups showed no significant changes in mean eGFR throughout the entire study period (Fig. 2c).
Figure 2

Effects of ipragliflozin on efficacy parameters at week 104 in all patients (n = 50), classified according to estimated glomerular filtration rate (eGFR) at baseline into three groups; eGFR ≥ 90 (circles; n = 20), eGFR ≥ 60 to < 90 (triangles; n = 22), and eGFR < 60 (squares; n = 8). (a) Change from baseline in glycated hemoglobin (HbA1c) to week 104 after starting ipragliflozin administration. (b) Change from baseline in body weight. (c) Change from baseline in eGFR. (d) Change from baseline in urinary albumin-to-creatinine ratio (UACR) at week 104. Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). *P < 0.05, **P < 0.01 versus baseline by the paired t-test. For the UACR, the Wilcoxon signed-rank test was used to evaluate changes between the baseline and week 104. Error bars show SDs or IQRs.

Effects of ipragliflozin on efficacy parameters at week 104 in all patients (n = 50), classified according to estimated glomerular filtration rate (eGFR) at baseline into three groups; eGFR ≥ 90 (circles; n = 20), eGFR ≥ 60 to < 90 (triangles; n = 22), and eGFR < 60 (squares; n = 8). (a) Change from baseline in glycated hemoglobin (HbA1c) to week 104 after starting ipragliflozin administration. (b) Change from baseline in body weight. (c) Change from baseline in eGFR. (d) Change from baseline in urinary albumin-to-creatinine ratio (UACR) at week 104. Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). *P < 0.05, **P < 0.01 versus baseline by the paired t-test. For the UACR, the Wilcoxon signed-rank test was used to evaluate changes between the baseline and week 104. Error bars show SDs or IQRs.

Subgroup analysis based on diabetic nephropathy

Table 3 shows the parameter changes in the 16 patients with diabetic nephropathy enrolled in post-trial monitoring between baseline and 104 weeks. After 104 weeks of ipragliflozin treatment, both mean HbA1c and body weight were significantly decreased (P = 0.006, P < 0.001, respectively) in all patients with diabetic nephropathy. Additionally, median UACR decreased significantly from 119.2 (98.9 - 201.8) at baseline to 36.9 (19.7 - 204.7) mg/gCr at 104 weeks (P = 0.011). In contrast, the mean eGFR did not change through 104 weeks in this subgroup.
Table 3

Changes in the Parameters of Patients With Diabetic Nephropathy Between Baseline and Week 104 (n = 16)

Interventional trial period
P value (week 24 vs. baseline)Post-trial monitoring period
P value (week 104 vs. baseline)
BaselineWeek 24Week 52Week 104
HbA1c (%)9.0 ± 1.88.0 ± 1.20.0137.7 ± 1.47.7 ± 1.00.006
Fasting plasma glucose (mg/dL)162.5 ± 32.1135.9 ± 20.20.028141.9 ± 32.5138.5 ± 26.00.033
Body weight (kg)82.9 ± 15.780.2 ± 15.9< 0.00180.5 ± 15.582.1 ± 18.2< 0.001
UACR (mg/gCr)119.2 (98.9 - 201.8)52.9 (24.8 - 242.1)0.04981.8 (24.3 - 174.3)36.9 (19.7 - 204.7)0.011
eGFR (mL/min/1.73m2)77.9 ± 20.273.3 ± 16.90.08075.8 ± 17.377.9 ± 18.60.986
SBP (mm Hg)135.5 ± 17.2134.3 ± 14.50.822134.1 ± 13.3136.4 ± 11.60.596
DBP (mm Hg)83.9 ± 12.484.7 ± 11.40.76985.8 ± 11.082.7 ± 9.90.762
Fasting serum insulin (µU/mL)14.5 ± 6.018.3 ± 16.40.32517.5 ± 16.616.4 ± 16.20.632
HOMA-IR5.7 ± 2.56.5 ± 7.20.7026.6 ± 7.26.2 ± 7.20.838
HOMA-β (%)59.4 ± 41.388.5 ± 55.90.02476.6 ± 58.570.8 ± 52.80.236
Total cholesterol (mg/dL)184.6 ± 31.9183.2 ± 19.70.848172.8 ± 28.0181.0 ± 33.80.687
LDL-cholesterol (mg/dL)107.0 ± 32.2104.6 ± 20.40.48399.4 ± 23.9107.2 ± 22.90.976
HDL-cholesterol (mg/dL)48.9 ± 8.854.2 ± 10.50.03652.7 ± 7.254.2 ± 6.80.001
Triglycerides (mg/dL)168.1 ± 82.2140.3 ± 84.30.160133.4 ± 44.3158.4 ± 104.70.760
AST (IU/L)39.0 ± 17.827.2 ± 11.5< 0.00125.5 ± 9.931.1 ± 16.90.075
ALT (IU/L)55.9 ± 32.740.9 ± 27.9< 0.00137.1 ± 20.542.5 ± 29.20.003
γ-GT (IU/L)54.2 ± 34.837.3 ± 22.6< 0.00133.8 ± 18.637.1 ± 29.20.003
Uric acid (mg/dL)5.9 ± 1.45.2 ± 1.20.0225.4 ± 1.45.3 ± 1.10.010
Serum creatinine (mg/dL)0.73 ± 0.180.77 ± 0.190.1130.73 ± 0.180.72 ± 0.180.261
Hematocrit (%)42.8 ± 4.145.9 ± 4.9< 0.00146.2 ± 5.146.0 ± 4.9< 0.001

Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). P value versus baseline by the paired t-test. †P value versus baseline by the Wilcoxon signed-rank test. HbA1c: glycated hemoglobin; UACR: urinary albumin-to-creatinine ratio; eGFR: estimated glomerular filtration rate; SBP: systolic blood pressure; DBP: diastolic blood pressure; HOMA-IR: homeostasis model assessment of insulin resistance; HOMA-β: homeostasis model assessment of β-cell function; LDL-cholesterol: low-density lipoprotein cholesterol; HDL-cholesterol: high-density lipoprotein cholesterol; AST: aspartate aminotransferase; ALT: alanine aminotransferase; γ-GT: γ- glutamyltransferase.

Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). P value versus baseline by the paired t-test. †P value versus baseline by the Wilcoxon signed-rank test. HbA1c: glycated hemoglobin; UACR: urinary albumin-to-creatinine ratio; eGFR: estimated glomerular filtration rate; SBP: systolic blood pressure; DBP: diastolic blood pressure; HOMA-IR: homeostasis model assessment of insulin resistance; HOMA-β: homeostasis model assessment of β-cell function; LDL-cholesterol: low-density lipoprotein cholesterol; HDL-cholesterol: high-density lipoprotein cholesterol; AST: aspartate aminotransferase; ALT: alanine aminotransferase; γ-GT: γ- glutamyltransferase. Next, patients with diabetic nephropathy were categorized into two groups: those with high eGFR (NH, eGFR ≥ 80, n = 7) and those with low eGFR (NL, eGFR < 80, n = 9) (Fig. 3). After 104 weeks, HbA1c showed a decreasing tendency and body weight was significantly decreased in both groups (Fig. 3a, b). Importantly, we observed highly favorable, clinically, and statistically significant decreases in median UACR from 106.7 (92.3 - 274.3) at baseline to 26.7 (18.2 - 127.1) mg/gCr at 104 weeks only in the NH group (P = 0.018) (Fig. 3d). In contrast, the decreases observed in median UACR in the NL group did not reach statistical significance (Fig. 3d). The mean eGFR did not change through 104 weeks in this subgroup, consistent with the results of the analysis of all patients (Fig. 3c).
Figure 3

Effects of ipragliflozin on efficacy parameters at week 104 in patients with diabetic nephropathy (n = 16), classified according to estimated glomerular filtration rate (eGFR) at baseline into two groups; eGFR ≥ 80 (circles; n = 7) and eGFR < 80 (triangles; n = 9). (a) Change from baseline in glycated hemoglobin (HbA1c) to week 104 after starting ipragliflozin administration. (b) Change from baseline in body weight. (c) Change from baseline in eGFR. (d) Change from baseline in urinary albumin-to-creatinine ratio (UACR) at week 104. Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). *P < 0.05, **P < 0.01 versus baseline by the paired t-test. For the UACR, the Wilcoxon signed-rank test was used to evaluate changes between the baseline and week 104. Error bars show SDs or IQRs.

Effects of ipragliflozin on efficacy parameters at week 104 in patients with diabetic nephropathy (n = 16), classified according to estimated glomerular filtration rate (eGFR) at baseline into two groups; eGFR ≥ 80 (circles; n = 7) and eGFR < 80 (triangles; n = 9). (a) Change from baseline in glycated hemoglobin (HbA1c) to week 104 after starting ipragliflozin administration. (b) Change from baseline in body weight. (c) Change from baseline in eGFR. (d) Change from baseline in urinary albumin-to-creatinine ratio (UACR) at week 104. Data are means ± standard deviation (SD) or medians with the interquartile range (IQR). *P < 0.05, **P < 0.01 versus baseline by the paired t-test. For the UACR, the Wilcoxon signed-rank test was used to evaluate changes between the baseline and week 104. Error bars show SDs or IQRs.

Analysis of blood pressure

There were no significant changes in blood pressure levels in any of the patients enrolled in this study during the 104-week observation period. Next, subgroup analysis of 23 patients with poorly controlled blood pressure, defined as an SBP ≥ 140 mm Hg and/or a DBP ≥ 90 mm Hg, showed significant decreases in the values of both SBP and DBP following 24 weeks of ipragliflozin treatment (P = 0.035, P = 0.045, respectively). Although SBP and DBP values at the end of 104 weeks, as compared to baseline, were decreased (141.3 ± 9.8 vs. 136.4 ± 9.7 mm Hg; 88.1 ± 9.2 vs. 85.7 ± 9.0 mm Hg, respectively), the reductions did not reach statistical significance. In contrast, analysis of the relationship between the amount of change in UACR and blood pressure at 24 weeks after the start of treatment revealed a significant positive correlation between UACR and SBP values, independently of the presence of diabetic nephropathy. However, these significant correlations had disappeared by 104 weeks (Table 4).
Table 4

Correlations Among UACR and Blood Pressure, HbA1c, and Body Weight

Interventional trial period (week 24)
Post-trial monitoring period (week 104)
All patients (n = 50)
Diabetic nephropathy (n = 16)
All patients (n = 50)
Diabetic nephropathy (n = 16)
ΔUACR (mg/gCr)
ΔUACR (mg/gCr)
ΔUACR (mg/gCr)
ΔUACR (mg/gCr)
rPrPrPrP
ΔSBP (mm Hg)0.3420.0150.5040.0470.0740.6190.1400.606
ΔDBP (mm Hg)0.1100.4450.1480.5850.0570.6980.0440.870
ΔHbA1c (%)0.0410.7800.0480.860-0.0580.697-0.1350.617
ΔBW (kg)0.2180.1280.4760.062-0.0710.631-0.0170.949

The relationship between changes in UACR and blood pressure, HbA1c, and body weight were assessed using Pearson’s correlation coefficients. Δ: the amount of change week 24 or week 104 after baseline. UACR: urinary albumin-to-creatinine ratio; HbA1c: glycated hemoglobin; SBP: systolic blood pressure; DBP: diastolic blood pressure; BW: body weight.

The relationship between changes in UACR and blood pressure, HbA1c, and body weight were assessed using Pearson’s correlation coefficients. Δ: the amount of change week 24 or week 104 after baseline. UACR: urinary albumin-to-creatinine ratio; HbA1c: glycated hemoglobin; SBP: systolic blood pressure; DBP: diastolic blood pressure; BW: body weight.

Additional efficacy evaluations

Tables 2 and 3 show changes observed in other efficacy parameters after 104 weeks of ipragliflozin treatment. Significant improvements in serum lipids, hepatic function, and uric acid values observed during the interventional trial period in all patients were sustained throughout the post-trial monitoring period. We also noted a significantly increased mean hematocrit level in all patients, regardless of the presence of diabetic nephropathy (Tables 2 and 3).

Safety

During the 104-week observation period, AEs occurred in 10 subjects (20.0%). The AEs included urinary tract infection in two subjects (4.0%), vulvovaginal candidiasis in two (4.0%), diarrhea in four (8.0%), and hyperphagia in two (4.0%). These adverse effects resolved in response to administration of appropriate antibiotics or antifungals, while one patient with hyperphagia discontinued ipragliflozin treatment on the advice of a physician. There were no other AEs such as severe hypoglycemia, dehydration, ketoacidosis, cardiac failure or severe infections, necessitating treatment interruption or termination of ipragliflozin administration.

Discussion

In the post-trial monitoring study, we demonstrated that ipragliflozin significantly reduced urinary albumin excretion in patients with type 2 diabetes without decreasing eGFR for 104 weeks. In addition, sustained improvements in glycemic control and body weight reductions were observed during the 104 weeks of the post-trial follow-up in a subset of patients with type 2 diabetes. The present study showed ipragliflozin to exert pleiotropic effects on glycemic control, body weight, blood pressure, and diabetic nephropathy in a real-world setting. However, this was a small study, making it difficult to draw definitive conclusions regarding ipragliflozin treatment. In recent years, clinical and experimental studies have shown that SGLT2 inhibitors contribute to the prevention of diabetic nephropathy progression. In the EMPA-REG OUTCOME trial, empagliflozin reduced the risk of major adverse cardiovascular events and was associated with slower progression of kidney disease and lower rates of clinically relevant renal events in patients with type 2 diabetes at high risk for cardiovascular events [9, 10]. Similarly, the CANVAS Program trial reported that patients with type 2 diabetes and an elevated risk of cardiovascular disease treated with canagliflozin had a lower risk of cardiovascular and renal events [12]. In addition, several clinical and experimental studies have shown that SGLT2 inhibitors exert favorable effects preventing diabetic kidney disease progression [13-18]. The analysis of renal hemodynamic effects of SGLT2 inhibition demonstrated that empagliflozin attenuated renal hyperfiltration in patients with type 1 diabetes under clamped euglycemic and hyperglycemic conditions, through improvement of tubular-glomerular feedback mechanisms [6]. In addition, empagliflozin was found to improve glomerular hyperfiltration independently of blood glucose in type 1 diabetic Akita mice, and was reported to suppress the renal expressions of inflammatory genes, urinary albumin excretion, and kidney weight [16]. These findings suggest the main mechanism by which SGLT2 inhibitors attenuate diabetic nephropathy to be amelioration of glomerular hyperfiltration. In fact, in our previous study, ipragliflozin significantly reduced urinary albumin excretion and ameliorated glomerular hyperfiltration in patients with type 2 diabetes whose renal functions were relatively maintained. In contrast, although HbA1c reductions persisted for 104 weeks, this significant amelioration of glomerular hyperfiltration was no longer present at the end of the post-trial monitoring period. In addition, a significant reduction of uncontrolled blood pressure and a positive correlation between UACR and SBP changes, as observed during the interventional trial period in our previous study, were also no longer present at the end of the post-trial monitoring period. Despite the loss of these benefits in the interventional trial period, the UACR reduction persisted through 104 weeks. These results indicate that the mechanisms by which SGLT2 inhibitors attenuate diabetic nephropathy are attributable, not only to improvements in glycemic control, glomerular hyperfiltration and blood pressure, but also to other favorable mechanisms. For example, an experimental study using mice fed a high-fat diet demonstrated that SGLT2 inhibition by ipragliflozin might act directly on tubular cells and protect kidney tubular cells from mitochondrial damage due to metabolic insults regardless of blood glucose levels or favorable body weight reductions [19]. Furthermore, Kamezaki et al recently reported that even low-dose ipragliflozin, given to type 2 diabetic mice, reduced renal cortical hypoxia and abnormal hemodynamics in early diabetic nephropathy. In addition to these effects, high-dose ipragliflozin exerted renoprotective effects by reducing oxidative stress in tubular epithelia and glomerular podocytes [20]. These prior studies demonstrated that SGLT2 inhibitors exert renoprotective effects by having beneficial effects not only on glycemic control, glomerular hyperfiltration, blood pressure, and body weight reduction, but also through multifactorial mechanisms. Currently, all six SGLT2 inhibitors are commercially available in Japan, and their pleiotropic effects on various complications appear to be very similar. However, the pharmacokinetic and pharmacodynamic properties of all six SGLT2 inhibitors were investigated and compared in an experimental study using normal and diabetic mice, and it was found that the ameliorating effects on features of type 2 diabetes differ slightly, in terms of both the durations and the onsets of pharmacologic effects, among these SGLT2 inhibitors [21]. In the present study, ipragliflozin was classified into a category of long-acting agents, exhibiting effects superior to those of other SGLT2 inhibitors with respect to the rapid onset of pharmacological effects. The duration and onset of these pharmacologic effects appeared to correlate closely with the pharmacokinetic properties specific to each SGLT2 inhibitor, particularly with respect to high distribution and long retention in the target organ, i.e. the kidney [21]. Therefore, focusing on the pharmacokinetic and pharmacodynamic properties, we can reasonably assume that beneficial effects for various complications, particularly in patients with diabetic nephropathy, differ slightly among SGLT2 inhibitors. In contrast, in an exploratory mediation analysis derived from the EMPA-REG OUTCOME trial, changes in hematocrit and hemoglobin were the most important mediators of the reduction in risk of cardiovascular death with empagliflozin versus placebo, rather than changes in HbA1c, body weight, or UACR [22]. Enhanced erythropoiesis could be a complementary mechanism to the hemodynamic changes reflected by increases in hematocrit and hemoglobin in patients treated with SGLT2 inhibitors [22]. In patients with diabetes, the proximal tubules are overtaxed by excessive glucose reabsorption and the resulting increased oxygen requirement causes tubulointerstitial hypoxia [23]. SGLT2 inhibitors reduce the workload of the proximal tubules and improve tubulointerstitial hypoxia and accordingly restore normal erythropoietin production. In fact, in our present study, we actually observed significantly increased hematocrit, regardless of the presence of diabetic nephropathy. This result suggests that an increase in hematocrit in response to treatment with SGLT2 inhibitors may reflect suppression or slowing of diabetic nephropathy progression, thereby serving as a predictor of the outcomes of routine medical practices. Consequently, improvement of tubulointerstitial hypoxia with SGLT2 inhibitor treatment might contribute, not only to improving diabetic kidney disease, but also to the observed cardiovascular benefits [24]. On the other hand, the renoprotective effects exerted by another class of glucose lowering drugs have also been reported. For example, an experimental study demonstrated that the dipeptidyl peptidase (DPP)-4 inhibitor linagliptin showed efficacy comparable to that of the angiotensin II receptor blocker telmisartan in preventing chronic kidney disease progression in non-diabetic rats with 5/6 nephrectomy [25]. Furthermore, preclinical animal studies as well as clinical data have raised the possibility that DPP-4 inhibitors decrease the progression of diabetic nephropathy in a blood pressure- and glucose-independent manner [26]. These studies showed the renoprotective effects of the drugs studied to be attributable to an increased half-life of DPP-4 substrates such as glucagon-like peptide (GLP)-1. In addition, a pre-specified analysis of the LEADER trial revealed that the GLP-1 receptor agonist liraglutide reduced both the rate of development and the progression of diabetic kidney disease as compared with a placebo in 9,340 patients with type 2 diabetes and high cardiovascular risk [27]. Although the demonstration of beneficial renal effects of both GLP-1 receptor agonists and SGLT2 inhibitors represents a breakthrough in the treatment of diabetic nephropathy, SGLT2 inhibitors might have greater potency than GLP-1 receptor agonists with respect to kidney protection. A comparison of the EMPA-REG OUTCOME and LEADER trials demonstrated empagliflozin to be associated with slower progression of kidney disease and lower rates of clinically relevant renal events, including progression to macroalbuminuria, doubling of the serum creatinine level, initiation of renal-replacement therapy, and death from renal disease [10]. By contrast, liraglutide reduced new onset of persistent macroalbuminuria, but had no significant effect on other renal outcomes [28]. These results suggest that SGLT2 inhibitors contribute to the prevention of diabetic nephropathy progression by mechanisms that clearly differ from those of other antidiabetic drugs. We advocate that future studies focus on elucidating the details of the differences in renoprotective effects between SGLT2 inhibitors and other drugs. In conclusion, the present study confirmed ipragliflozin to significantly reduce urinary albumin excretion in patients with diabetic nephropathy without decreasing eGFR for 104 weeks. In addition, sustained improvements in glycemic control and body weight reductions were observed during the 104-week post-trial follow-up. However, this study has limitations. The number of subjects was too small to allow definitive conclusions about the investigated drug to be drawn. Furthermore, the study was performed at only a small number of facilities and a single-arm design was used. As stated above, SGLT2 inhibitors have pleiotropic effects on diabetic kidney disease. In the future, we hope to investigate these mechanisms in greater detail and to optimize the use of SGLT2 inhibitors for more patients.
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Review 1.  Sodium-glucose cotransporter 2 inhibitors for type 2 diabetes: a systematic review and meta-analysis.

Authors:  Despoina Vasilakou; Thomas Karagiannis; Eleni Athanasiadou; Maria Mainou; Aris Liakos; Eleni Bekiari; Maria Sarigianni; David R Matthews; Apostolos Tsapas
Journal:  Ann Intern Med       Date:  2013-08-20       Impact factor: 25.391

Review 2.  Role of soluble and membrane-bound dipeptidyl peptidase-4 in diabetic nephropathy.

Authors:  Ahmed A Hasan; Berthold Hocher
Journal:  J Mol Endocrinol       Date:  2017-04-18       Impact factor: 5.098

3.  Renal hemodynamic effect of sodium-glucose cotransporter 2 inhibition in patients with type 1 diabetes mellitus.

Authors:  David Z I Cherney; Bruce A Perkins; Nima Soleymanlou; Maria Maione; Vesta Lai; Alana Lee; Nora M Fagan; Hans J Woerle; Odd Erik Johansen; Uli C Broedl; Maximilian von Eynatten
Journal:  Circulation       Date:  2013-12-13       Impact factor: 29.690

4.  Diabetic nephropathy: Renoprotective effects of GLP1R agonists and SGLT2 inhibitors.

Authors:  Berthold Hocher; Oleg Tsuprykov
Journal:  Nat Rev Nephrol       Date:  2017-10-09       Impact factor: 28.314

5.  Liraglutide and Renal Outcomes in Type 2 Diabetes.

Authors:  Johannes F E Mann; David D Ørsted; Kirstine Brown-Frandsen; Steven P Marso; Neil R Poulter; Søren Rasmussen; Karen Tornøe; Bernard Zinman; John B Buse
Journal:  N Engl J Med       Date:  2017-08-31       Impact factor: 91.245

6.  SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice.

Authors:  Volker Vallon; Maria Gerasimova; Michael A Rose; Takahiro Masuda; Joseph Satriano; Eric Mayoux; Hermann Koepsell; Scott C Thomson; Timo Rieg
Journal:  Am J Physiol Renal Physiol       Date:  2013-11-13

7.  Factors Influencing Changes in Hemoglobin A1c and Body Weight During Treatment of Type 2 Diabetes With Ipragliflozin: Interim Analysis of the ASSIGN-K Study.

Authors:  Kotaro Iemitsu; Takashi Iizuka; Masahiro Takihata; Masahiko Takai; Shigeru Nakajima; Nobuaki Minami; Shinichi Umezawa; Akira Kanamori; Hiroshi Takeda; Takehiro Kawata; Shogo Ito; Taisuke Kikuchi; Hikaru Amemiya; Mizuki Kaneshiro; Atsuko Mokubo; Tetsuro Takuma; Hideo Machimura; Keiji Tanaka; Taro Asakura; Akira Kubota; Sachio Aoyagi; Kazuhiko Hoshino; Masashi Ishikawa; Mitsuo Obana; Nobuo Sasai; Hideaki Kaneshige; Masaaki Miyakawa; Yasushi Tanaka; Yasuo Terauchi; Ikuro Matsuba
Journal:  J Clin Med Res       Date:  2016-03-20

8.  Comprehensive renoprotective effects of ipragliflozin on early diabetic nephropathy in mice.

Authors:  Michitsugu Kamezaki; Tetsuro Kusaba; Kazumi Komaki; Yohei Fushimura; Noriko Watanabe; Kisho Ikeda; Takashi Kitani; Noriyuki Yamashita; Masahiro Uehara; Yuhei Kirita; Yayoi Shiotsu; Ryosuke Sakai; Takuya Fukuda; Masahiro Yamazaki; Michiaki Fukui; Satoaki Matoba; Keiichi Tamagaki
Journal:  Sci Rep       Date:  2018-03-05       Impact factor: 4.379

Review 9.  Hemodynamic Effects of Sodium-Glucose Cotransporter 2 Inhibitors.

Authors:  Motoaki Sano
Journal:  J Clin Med Res       Date:  2017-04-26

10.  Effects of Ipragliflozin on Diabetic Nephropathy and Blood Pressure in Patients With Type 2 Diabetes: An Open-Label Study.

Authors:  Daisuke Ito; Emi Ikuma-Suwa; Kazuyuki Inoue; Kimie Kaneko; Morifumi Yanagisawa; Kouichi Inukai; Mitsuhiko Noda; Akira Shimada
Journal:  J Clin Med Res       Date:  2016-12-31
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  4 in total

1.  Comprehensive efficacy of ipragliflozin on various conditioned type 2 diabetes compared with dipeptidyl peptidase-4 inhibitors and with both agents, based on a real-world multicenter trial.

Authors:  Fumio Sawano; Nozomu Kamei; Mitsue Miyahara; Kyoko Kobuke; Shuhei Nakanishi; Chihiro Nagano; Hideki Nojima; Shusaku Maeda; Hiroshi Watanabe; Rui Kishimoto; Mami Yamashita; Aya Hamaoka; Kana Mukai; Tomoko Tsuboi; Hisayoshi Mochizuki; Reiko Nakashima; Yu Sakashita; Hisaaki Morishita; Tadahiro Kitamura
Journal:  Diabetol Int       Date:  2021-02-11

2.  The Association Between the Decline of eGFR and a Reduction of Hemoglobin A1c in Type 2 Diabetic Patients.

Authors:  Lingwang An; Qiuzhi Yu; Linhui Chen; Hong Tang; Yanjun Liu; Qun Yuan; Yu Ji; Yaujiunn Lee; Juming Lu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-19       Impact factor: 5.555

3.  Clinical Effects of Primary Nursing on Diabetic Nephropathy Patients Undergoing Hemodialysis and Its Impact on the Inflammatory Responses.

Authors:  Yujuan Guo; Qi Song; Yuhong Cui; Caihong Wang
Journal:  Evid Based Complement Alternat Med       Date:  2022-08-09       Impact factor: 2.650

Review 4.  Use of sodium-glucose co-transporter-2 inhibitors in Asian patients with type 2 diabetes and kidney disease: An Asian perspective and expert recommendations.

Authors:  Chin Meng Khoo; Chaicharn Deerochanawong; Siew Pheng Chan; Bien Matawaran; Wayne Huey-Herng Sheu; Juliana Chan; Ambrish Mithal; Andrea Luk; Ketut Suastika; Kun-Ho Yoon; Linong Ji; Nguyen Huu Man; Carol Pollock
Journal:  Diabetes Obes Metab       Date:  2020-11-20       Impact factor: 6.577

  4 in total

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