98%
921
2 minutes
20
Aim: To compare the safety and efficacy of bexagliflozin administered as monotherapy at three dosage strengths over a 12-week period to patients with type 2 diabetes who were either naïve to pharmacotherapy or were previously prescribed one oral hypoglycaemic agent and underwent a 6-week period of medication abstinence.
Methods: Adults with type 2 diabetes (n = 292) having an HbA1c of between 7.0% and 8.5% were randomized to receive one of three dosage strengths of bexagliflozin (5, 10 or 20 mg) or placebo. The primary endpoint was the change from baseline to week 12 in the %HbA1c. Secondary endpoints included the changes from baseline in fasting plasma glucose (FPG), systolic blood pressure and diastolic blood pressure, body mass and fraction of patients achieving an HbA1c of <7%.
Results: The mixed model repeated measure estimates of the placebo-adjusted change in %HbA1c from baseline to week 12 for the 5, 10 and 20 mg groups were -0.55% (95% CI: -0.76%, -0.34%, P < 0.0001), -0.68% (95% CI: -0.89%, -0.47%, P < 0.0001) and -0.80% (95% CI: -1.01%, -0.59%, P < 0.0001), respectively. Significant and dose-dependent placebo-adjusted mean reductions from baseline to week 12 in FPG and body mass were observed. The fraction of subjects achieving an HbA1c of <7% was significantly greater in the 20 mg bexagliflozin group. The incidence of adverse events was similar for participants in all active arms (42.3%) compared with the rate measured in those receiving placebo (40.3%).
Conclusions: Bexagliflozin confers substantial and dose-dependent benefits on subjects with type 2 diabetes and has an acceptable safety profile. Further evaluation of bexagliflozin for the control of type 2 diabetes in adults is warranted.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/dom.13928 | DOI Listing |
Nephrol Dial Transplant
September 2025
Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Background: We investigated circulating protein profiles and molecular pathways among various chronic kidney disease (CKD) etiologies to study its underlying molecular heterogeneity.
Methods: We conducted a proteomic biomarker analysis in the DAPA-CKD trial recruiting adults with and without type 2 diabetes with an eGFR of 25 to 75 mL/min/1.73m2 and a UACR of 200 to 5000 mg/g.
JAMA Netw Open
September 2025
Division of Cardiology, Department of Internal Medicine, New Taipei Municipal TuCheng Hospital, New Taipei, Taiwan.
Importance: The cardiovascular benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may vary by body mass index (BMI), but evidence on BMI-specific outcomes remains limited.
Objective: To investigate the associations of GLP-1 RA use with cardiovascular and kidney outcomes across BMI categories in patients with type 2 diabetes.
Design, Setting, And Participants: This retrospective cohort study used the Chang Gung Research Database, a clinical dataset covering multiple hospitals in Taiwan.
JAMA Pediatr
September 2025
Diabetes Research Envisioned and Accomplished in Manitoba (DREAM) Research Theme, Children's Hospital Research Institute of Manitoba, Winnipeg, Canada.
Importance: Youth living with type 1 diabetes (T1D) are increasingly choosing automated insulin delivery (AID) systems to manage their blood glucose. Few systematic reviews meta-analyzing results from randomized clinical trials (RCTs) are available to guide decision-making.
Objective: To study the association of prolonged AID system use in an outpatient setting with measures of glucose management and quality of life in youth with T1D.
Nutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
M-DT1, Roquefort-les Pins, France.
To date, the closed-loop system represents the best commercialized management of type 1 diabetes. However, mealtimes still require carbohydrate estimation and are often associated with postprandial hyperglycemia which may contribute to poor metabolic control and long -term complications. A multicentre, prospective, non-interventional clinical trial was designed to determine the effectiveness of a novel algorithm to predict changes in blood glucose levels two hours after a usual meal.
View Article and Find Full Text PDF