Safety of Ertugliflozin in Patients with Type 2 Diabetes Mellitus: Pooled Analysis of Seven Phase 3 Randomized Controlled Trials

Longitudinal efficacy of Ertugliflozin in type 2 diabetes mellitus: a meta-analysis of randomized controlled trials

INTRODUCTION

Ertugliflozin, a sodium-glucose cotransporter-2 inhibitor, seems to improve glycemic control in type 2 diabetes mellitus (T2DM). We aim to evaluate the efficacy of Ertugliflozin across multiple time intervals (18, 26, and 52 weeks) in T2DM patients.

METHODS

A literature search was conducted on electronic databases. Data was extracted from eligible studies at both 5 mg and 15 mg doses in monotherapy and as add-on therapy. Cochrane RevMan was used to perform the meta-analysis.

RESULTS

Ertugliflozin, at both 5 mg and 15 mg doses, demonstrated a significant improvement in HbA1c levels at 18 weeks 5 mg [P = 0.00001], 15 mg [P = 0.05], and at 26 weeks in monotherapy 5 mg [P = 0.006], monotherapy 15 mg [P = 0.006], 5 mg as add-on therapy [P = 0.00001], 15 mg add-on therapy [P = 0.00001] respectively. At 52 weeks, the reduction in HbA1c was significant in 15 mg add-on therapy [P = 0.0001]. Additionally, ertugliflozin as an add-on therapy also led to a significant reduction in FPG, body weight, and systolic blood pressure.

CONCLUSION

Ertugliflozin showed clinical efficacy in improving glycemic control, fasting plasma glucose, body weight, and systolic blood pressure in T2DM patients over the studied time intervals compared to placebo.

Unlocking the Full Potential of SGLT2 Inhibitors: Expanding Applications beyond Glycemic Control

The number of diabetic patients has risen dramatically in recent decades, owing mostly to the rising incidence of type 2 diabetes mellitus (T2DM). Several oral antidiabetic medications are used for the treatment of T2DM including, α-glucosidases inhibitors, biguanides, sulfonylureas, meglitinides, GLP-1 receptor agonists, PPAR-γ agonists, DDP4 inhibitors, and SGLT2 inhibitors. In this review we focus on the possible effects of SGLT2 inhibitors on different body systems. Beyond the diabetic state, SGLT2 inhibitors have revealed a demonstrable ability to ameliorate cardiac remodeling, enhance myocardial function, and lower heart failure mortality. Additionally, SGLT2 inhibitors can modify adipocytes and their production of cytokines, such as adipokines and adiponectin, which enhances insulin sensitivity and delays diabetes onset. On the other hand, SGLT2 inhibitors have been linked to decreased total hip bone mineral deposition and increased hip bone resorption in T2DM patients. More data are needed to evaluate the role of SGLT2 inhibitors on cancer. Finally, the effects of SGLT2 inhibitors on neuroprotection appear to be both direct and indirect, according to scientific investigations utilizing various experimental models. SGLT2 inhibitors improve vascular tone, elasticity, and contractility by reducing oxidative stress, inflammation, insulin signaling pathways, and endothelial cell proliferation. They also improve brain function, synaptic plasticity, acetylcholinesterase activity, and reduce amyloid plaque formation, as well as regulation of the mTOR pathway in the brain, which reduces brain damage and cognitive decline.

Efficacy and Safety of Ertugliflozin Added to Metformin: A Pooled Population from Asia with Type 2 Diabetes and Overweight or Obesity

INTRODUCTION

The efficacy and safety of ertugliflozin have not been well characterized in Asian populations with type 2 diabetes (T2D) and overweight or obesity as defined by the Chinese Diabetes Society [body mass index (BMI) ≥ 24 kg/m²].

METHODS

These post hoc analyses of pooled data from two randomized, double-blind, 26-week studies assessed the efficacy and safety of ertugliflozin (5 mg or 15 mg) compared with placebo in participants from Asia with T2D and baseline BMI ≥ 24 kg/m², with inadequate glycemic control on metformin. Longitudinal analyses were used to calculate least squares (LS) mean [95% confidence interval (CI)] change from baseline in glycemic indices and body weight. The proportions of participants achieving efficacy targets and experiencing adverse events (AEs) were assessed.

RESULTS

The 445 participants had a mean age of 55.5 years, T2D duration 6.6 years, glycated hemoglobin (HbA1c) 8.1%, and BMI 27.6 kg/m². At week 26, placebo-adjusted LS mean (95% CI) changes from baseline for ertugliflozin 5 mg and 15 mg, respectively, were - 0.78% (- 0.95% to - 0.61%) and - 0.80% (- 0.98% to - 0.63%) for HbA1c, and - 1.74 kg (- 2.29 kg to - 1.19 kg) and - 2.04 kg (- 2.60 kg to - 1.48 kg) for body weight. A greater proportion of participants receiving ertugliflozin 5 mg and 15 mg versus placebo, respectively, achieved HbA1c < 7.0% (42.1% and 46.3% vs. 13.9%), body weight reduction ≥ 5% (35.5% and 38.3% vs. 11.1%), and systolic blood pressure < 130 mmHg (42.4% and 34.5% vs. 21.7%). The proportion of participants with AEs was 52.6% (ertugliflozin 5 mg), 52.3% (ertugliflozin 15 mg), and 55.6% (placebo).

CONCLUSIONS

In participants from Asia with T2D inadequately controlled by metformin monotherapy, and BMI ≥24 kg/m², ertugliflozin (5 mg or 15 mg) resulted in greater glycemic and body weight reductions compared with placebo and was generally well tolerated.

TRIAL REGISTRATION

Clinicaltrials.gov identifiers NCT02033889, NCT02630706.

Efficacy and Safety of Ertugliflozin in Type 2 Diabetes: A Systematic Review and Meta-Analysis

Objective: To evaluate the efficacy and safety of ertugliflozin in patients with type 2 diabetes.

Methods: MEDLINE, EMBASE, and Cochrane Library were searched (July 31, 2021) for phase II/III randomized clinical trials, which reported the efficacy and safety of ertugliflozin. Continuous variables were calculated as weighted mean difference (WMD) and associated 95% confidence intervals (CIs); dichotomous data were expressed as risk ratios (RRs) with 95% CIs.

Results: Nine randomized clinical trials including 5638 type 2 diabetes patients were included. For efficacy, ertugliflozin significantly reduced HbA1c (%) (WMD −0.452%; 95% CI −0.774 to −0.129), fasting plasma glucose (FPG) (WMD −0.870 mmol/L; 95% CI −1.418 to −0.322), body weight (WMD −1.774 kg; 95% CI −2.601 to −0.946), and blood pressure levels (systolic blood pressure: WMD −2.572 mmHg; 95% CI −3.573 to −1.571 and diastolic blood pressure: WMD −1.152 mmHg; 95% CI −2.002 to −0.303) compared with placebo and other hypoglycaemic agents. Compared with placebo, ertugliflozin was superior in reducing HbA1c (%) (WMD −0.641%) and FPG (WMD −1.249 mmol/L). And compared with active agents, ertugliflozin also could decrease HbA1c by 0.215% and FPG by 0.266 mmol/L. The interactive effect between different controls was significant (Pinteraction of 0.039). For safety, similar to other sodium-glucose cotransporter type-2 inhibitors, ertugliflozin mainly increased the risk of genital mycotic infection (RR: 4.004; 95% CI 2.504–6.402). There was no significant difference in the incidence of any adverse events (AEs), AEs related to study drug, serious AEs, deaths, and discontinuations due to AEs. Results were consistent with the most primary outcomes in subgroups analysis and sensitivity analysis.

Conclusion: Ertugliflozin was relatively effective and tolerated in patients with type 2 diabetes compared with placebo or other hypoglycaemic agents, except for a high risk of genital mycotic infection.

Systematic Review Registration: (ClinicalTrials.gov), identifier (CRD42020206356).

Glycemic efficacy and safety of the SGLT2 inhibitor ertugliflozin in patients with type 2 diabetes and stage 3 chronic kidney disease: an analysis from the VERTIS CV randomized trial

INTRODUCTION

Here we report the glycemic efficacy and safety of ertugliflozin in patients in the VERTIS CV cardiovascular outcome trial with chronic kidney disease (CKD) stage 3.

RESEARCH DESIGN AND METHODS

Prespecified and post-hoc analyses were performed in patients with an estimated glomerular filtration rate (eGFR) 30-<60 mL/min/1.73 m² at screening. The primary endpoint was glycemic efficacy at week 18. Longer term glycemic efficacy and changes in body weight, systolic blood pressure (SBP), and eGFR were also evaluated.

RESULTS

Among 8246 patients in VERTIS CV, 1776 patients had CKD stage 3; 1319 patients had CKD stage 3A (eGFR 45-<60 mL/min/1.73 m²); 457 patients had CKD stage 3B (eGFR 30-<45 mL/min/1.73 m²). Week 18 least squares (LS)-mean (95% CI) placebo-adjusted changes from baseline in glycated hemoglobin (HbA1c) for 5 mg and 15 mg ertugliflozin were -0.27% (-0.37% to -0.17%) and -0.28% (-0.38% to -0.17%), respectively, for CKD stage 3 overall and -0.27% (-0.38% to -0.15%) and -0.31% (-0.43% to -0.19%), respectively, for CKD stage 3A (all p<0.001). For CKD stage 3B, the reduction in HbA1c for 5 mg ertugliflozin was -0.28% (-0.47% to -0.08%) (p=0.006) and for 15 mg ertugliflozin was -0.19% (-0.39% to 0.01%) (p=0.064). LS-mean placebo-adjusted reductions in body weight (range: -1.32 to -1.95 kg) and SBP (range: -2.42 to -3.41 mm Hg) were observed across CKD stage 3 categories with ertugliflozin. After an initial dip, eGFR remained above or near baseline with ertugliflozin treatment. The incidence of overall adverse events (AEs), symptomatic hypoglycemia, hypovolemia, and kidney-related AEs did not differ between ertugliflozin and placebo across CKD stage 3 subgroups.

CONCLUSIONS

In VERTIS CV patients with CKD stage 3A, ertugliflozin resulted in reductions in HbA1c, body weight and SBP, maintenance of eGFR, and was generally well tolerated. Results in the CKD stage 3B subgroup were generally similar except for an attenuated HbA1c response with the 15 mg dose.

TRIAL REGISTRATION NUMBER

NCT01986881.

Meta-Analysis of Noncompartmental Pharmacokinetic Parameters of Ertugliflozin to Evaluate Dose Proportionality and UGT1A9 Polymorphism Effect on Exposure

Ertugliflozin, a sodium‐glucose cotransporter 2 inhibitor, is primarily metabolized via glucuronidation by the uridine 5′‐diphospho‐glucuronosyltransferase (UGT) isoform UGT1A9. This noncompartmental meta‐analysis of ertugliflozin pharmacokinetics evaluated the relationship between ertugliflozin exposure and dose, and the effect of UGT1A9 genotype on ertugliflozin exposure. Pharmacokinetic data from 25 phase 1 studies were pooled. Structural models for dose proportionality described the relationship between ertugliflozin area under the plasma concentration‐time curve (AUC) or maximum observed plasma concentration (C_max) and dose. A structural model for the UGT1A9 genotype described the relationship between ertugliflozin AUC and dose, with genotype information on 3 UGT1A9 polymorphisms (UGT1A9‐2152, UGT1A9*3, UGT1A9*1b) evaluated as covariates from the full model. Ertugliflozin AUC and C_max increased in a dose‐proportional manner over the dose range of 0.5‐300 mg, and population‐predicted AUC and C_max values for the 5‐ and 15‐mg ertugliflozin tablets administered in the fasted state demonstrated good agreement with the observed data. The largest change in ertugliflozin AUC was in subjects carrying the UGT1A9*3 heterozygous variant, with population‐predicted AUC (90% confidence interval) values of 485 ng·h/mL (458 to 510 ng·h/mL) and 1560 ng·h/mL (1480 to 1630 ng·h/mL) for ertugliflozin 5 and 15 mg, respectively, compared with 436 ng·h/mL (418 to 455 ng·h/mL) and 1410 ng·h/mL (1350 to 1480 ng·h/mL), respectively, in wild‐type subjects. Overall, the mean effects of the selected UGT1A9 variants on ertugliflozin AUC were within ±10% of the wild type. UGT1A9 genotype did not have any clinically meaningful effects on ertugliflozin exposure in healthy subjects. No ertugliflozin dose adjustment would be required in patients with the UGT1A9 variants assessed in this study.

SGLT-2i and Risk of Malignancy in Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials

Background: Currently, the association between sodium-glucose cotransporter 2 inhibitor (SGLT-2i) and malignancy risk has yet to be fully elucidated. This meta-analysis aimed to determine the relationship between SGLT-2i and malignancy risk in type 2 diabetes (T2D) patients.

Methods: We searched PubMed, ScienceDirect, EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science to identify randomized controlled trials (RCTs) published up to August 2020 related to T2D patients treated with SGLT-2i vs. placebo or other hypoglycemic agents. The meta-analysis's primary outcome was malignancies' incidence, and the results were evaluated using risk ratio (RR) and 95% confidence interval (CI).

Results: We reviewed 76 articles (77 RCTs), comprising 45,162 and 43,811 patients in SGLT-2i and control groups, respectively. Compared with the control group, SGLT-2i had no significant association with augmented overall malignancy risk in T2D patients (RR = 1.05, 95% CI = 0.97–1.14, P = 0.20), but ertugliflozin may upsurge the risk (RR = 1.80, 95% CI = 1.02–3.17, P = 0.04). Compared with active hypoglycemic agents, dapagliflozin may increase (RR = 2.71, 95% CI = 1.46–6.43, P = 0.02) and empagliflozin may decrease (RR = 0.67, 95% CI = 0.45–0.98, P = 0.04) the malignancy risk. Compared with placebo, empagliflozin may exhibit risk increase (RR = 1.25, 95% CI = 1.05–1.49, P = 0.01), primarily in digestive system (RR = 1.48, 95% CI = 0.99–2.21, P = 0.05).

Conclusions: Our results proposed that in diverse comparisons, ertugliflozin and dapagliflozin seemed to increase the malignancy risk in T2D patients. Empagliflozin may cause malignancy risk reduction compared with active hypoglycemic agents but increase overall risk primarily in the digestive system compared with placebo. In short, the relationship between SGLT-2i and malignancy in T2D patients remains unclear.

End-to-end application of model-informed drug development for ertugliflozin, a novel sodium-glucose cotransporter 2 inhibitor

Model-informed drug development (MIDD) is critical in all stages of the drug-development process and almost all regulatory submissions for new agents incorporate some form of modeling and simulation. This review describes the MIDD approaches used in the end-to-end development of ertugliflozin, a sodium-glucose cotransporter 2 inhibitor approved for the treatment of adults with type 2 diabetes mellitus. Approaches included (1) quantitative systems pharmacology modeling to predict dose-response relationships, (2) dose-response modeling and model-based meta-analysis for dose selection and efficacy comparisons, (3) population pharmacokinetics (PKs) modeling to characterize PKs and quantify population variability in PK parameters, (4) regression modeling to evaluate ertugliflozin dose-proportionality and the impact of uridine 5'-diphospho-glucuronosyltransferase (UGT) 1A9 genotype on ertugliflozin PKs, and (5) physiologically-based PK modeling to assess the risk of UGT-mediated drug-drug interactions. These end-to-end MIDD approaches for ertugliflozin facilitated decision making, resulted in time/cost savings, and supported registration and labeling.

Bone fragility in patients with diabetes mellitus: A consensus statement from the working group of the Italian Diabetes Society (SID), Italian Society of Endocrinology (SIE), Italian Society of Gerontology and Geriatrics (SIGG), Italian Society of Orthopaedics and Traumatology (SIOT)

Bone fragility is one of the possible complications of diabetes, either type 1 (T1D) or type 2 (T2D). Bone fragility can affect patients of different age and with different disease severity depending on type of diabetes, disease duration and the presence of other complications. Fracture risk assessment should be started at different stages in the natural history of the disease depending on the type of diabetes and other risk factors. The risk of fracture in T1D is higher than in T2D, imposing a much earlier screening and therapeutic intervention that should also take into account a patient's life expectancy, diabetes complications etc. The therapeutic armamentarium for T2D has been enriched with drugs that may influence bone metabolism, and clinicians should be aware of these effects. Considering the complexity of diabetes and osteoporosis and the range of variables that influence treatment choices in a given individual, the Working Group on bone fragility in patients with diabetes mellitus has identified and issued recommendations based on the variables that should guide screening of bone fragility and management of diabetes and bone fragility: (A)ge, (B)MD, (C)omplications, (D)uration of disease, & (F)ractures (ABCD&F). Consideration of these parameters may help clinicians identify the best time for screening, the appropriate glycaemic target and anti-osteoporosis drug for patients with diabetes at risk of or with bone fragility.

Using machine learning to identify diabetes patients with canagliflozin prescriptions at high-risk of lower extremity amputation using real-world data

AIMS

Canagliflozin, a sodium-glucose cotransporter 2 inhibitor indicated for lowering glucose, has been increasingly used in diabetes patients because of its beneficial effects on cardiovascular and renal outcomes. However, clinical trials have documented an increased risk of lower extremity amputations (LEA) associated with canagliflozin. We applied machine learning methods to predict LEA among diabetes patients treated with canagliflozin.

METHODS

Using claims data from a 5% random sample of Medicare beneficiaries, we identified 13 904 diabetes individuals initiating canagliflozin between April 2013 and December 2016. The samples were randomly and equally split into training and testing sets. We identified 41 predictor candidates using information from the year prior to canagliflozin initiation, and applied four machine learning approaches (elastic net, least absolute shrinkage and selection operator [LASSO], gradient boosting machine and random forests) to predict LEA risk after canagliflozin initiation.

RESULTS

The incidence rate of LEA was 0.57% over a median 1.5 years follow-up. LASSO produced the best prediction, yielding a C-statistic of 0.81 (95% CI: 0.76, 0.86). Among individuals categorized in the top 5% of the risk score, the actual incidence rate of LEA was 3.74%. Among the 16 factors selected by LASSO, history of LEA [adjusted odds ratio (aOR): 33.6 (13.8, 81.9)] and loop diuretic use [aOR: 3.6 (1.8,7.3)] had the strongest associations with LEA incidence.

CONCLUSIONS

Our machine learning model efficiently predicted the risk of LEA among diabetes patients undergoing canagliflozin treatment. The risk score may support optimized treatment decisions and thus improve health outcomes of diabetes patients.

Physiologically-Based Pharmacokinetic Modeling of the Drug-Drug Interaction of the UGT Substrate Ertugliflozin Following Co-Administration with the UGT Inhibitor Mefenamic Acid

The sodium-glucose cotransporter 2 inhibitor ertugliflozin is metabolized by the uridine 5'-diphospho-glucuronosyltransferase (UGT) isozymes UGT1A9 and UGT2B4/2B7. This analysis evaluated the drug-drug interaction (DDI) following co-administration of ertugliflozin with the UGT inhibitor mefenamic acid (MFA) using physiologically-based pharmacokinetic (PBPK) modeling. The ertugliflozin modeling assumptions and parameters were verified using clinical data from single-dose and multiple-dose studies of ertugliflozin in healthy volunteers, and the PBPK fraction metabolized assignments were consistent with human absorption, distribution, metabolism, and excretion results. The model for MFA was developed using clinical data, and in vivo UGT inhibitory constant values were estimated using the results from a clinical DDI study with MFA and dapagliflozin, a UGT1A9 and UGT2B4/2B7 substrate in the same chemical class as ertugliflozin. Using the verified compound files, PBPK modeling predicted an ertugliflozin ratio of area under the plasma concentration-time curves (AUC_R ) of 1.51 when co-administered with MFA. ClinicalTrials.gov identifier: NCT00989079.

Update on: effects of anti-diabetic drugs on bone metabolism

INTRODUCTION

Preclinical, clinical, and population-based studies have provided evidence that anti-diabetic drugs affect bone metabolism and may affect the risk of fracture in diabetic patients.

AREAS COVERED

An overview of the skeletal effects of anti-diabetic drugs used in type 2 diabetes is provided. Searches on AdisInsight, PubMed, and Medline databases were conducted up to 1^st July 2020. The latest evidence from randomized clinical trials and population-based studies on the skeletal safety of the most recent drugs (DPP-4i, GLP-1RA, and SGLT-2i) is provided.

EXPERT OPINION

Diabetic patients present with a higher risk of fracture for a given bone mineral density suggesting a role of bone quality in the etiology of diabetic fracture. Bone quality is difficult to assess in human clinical practice and the use of preclinical models provides valuable information on diabetic bone alterations. As several links have been established between bone and energy homeostasis, it is interesting to study the safety of anti-diabetic drugs on the skeleton. So far, evidence for the newest molecules suggests a neutral fracture risk, but further studies, especially in different types of patient populations (patients at risk or with history of cardiovascular disease, renal impairment, neuropathy) are required to fully appreciate this matter.

Effect of sodium-glucose co-transporter 2 inhibitors on lipid profile: A systematic review and meta-analysis of 48 randomized controlled trials

Previous studies have suggested additional beneficial effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors including the lipid-lowering effect; however, results on lipid profile are controversial. Thus, this meta-analysis aimed to determine the effect of SGLT2 inhibitors treatment on lipid levels in patients with type 2 diabetes. Randomized controlled trials assessing the impact of SGLT2 inhibitors on lipid parameters were searched in PubMed-MEDLINE, SCOPUS, Web of Science, and Google Scholar databases. Meta-analysis was conducted using a random-effects model and generic inverse variance method. Meta-analysis of 48 randomized controlled trials revealed that SGLT2 inhibitors therapy had a significant increase on total cholesterol (WMD: 0.09 mmol/L, 95 % CI: 0.05, 0.13, I² = 79 %, p < 0.0001), LDL-cholesterol (WMD: 0.10 mmol/L, 95 % CI: 0.07, 0.12, I² = 94 %, p < 0.00001), HDL-cholesterol (WMD: 0.06 mmol/L, 95 % CI: 0.05, 0.08, I² = 99 %, p < 0.00001), and non-HDL-cholesterol (WMD: 0.09 mmol/L, 95 % CI: 0.06, 0.12, I² = 96 %, p < 0.00001). Additionally, SGLT2 inhibitors administration showed a significant decrease in triglyceride levels (WMD: -0.10 mmol/L, 95 % CI: -0.13, -0.07, I² = 96 %, p < 0.00001). Finally, no significant alteration was found on LDL/HDL ratio after SGLT2 inhibitors treatment (WMD: -0.01 mmol/L, 95 % CI: -0.05, 0.03, I² = 99 %, p = 0.65). In conclusion, SGLT2 inhibitors significantly increase total cholesterol, LDL-cholesterol, non-HDL-cholesterol, and HDL-cholesterol, and decrease triglyceride levels.