Author: sugaradmin

Introduction and Objective: The failure of pancreatic β-cells is a central feature of diabetes, yet measures of β-cell function in humans, such as clamp-derived variables, are invasive and sensitive to other factors (i.e., insulin resistance, insulin clearance, etc.). Since glucose-stimulated insulin release is coupled to pancreas oxygen consumption, we tested qBOLD MRI as a non-invasive […]

Introduction and Objective: Continuous glucose monitoring (CGM) has been associated with improved glycemic outcomes in older patients with Diabetes Mellitus (DM). Older patients may face barriers to use including challenges with technology. We are not aware of any comparison between older and younger adults. We studied if older age is associated with less favorable CGM […]

Introduction and Objective: Diabetes management and outcomes often differ by sex, influenced by biological and psychobehavioral factors. Our objective was to examine sex differences in glycemic outcomes during the safety and feasibility testing of the AIDANET automated insulin delivery system (AID)Methods: Participants with T1D enrolled in a randomized crossover trial of usual care (overwhelmingly AID […]

Introduction and Objective: Patients with diabetes benefit from regular exercise. However, the benefit of exercise in patients with diabetes and myocardial infarction (MI) is less clear. Therefore, we sought to evaluate the differences in mortality risk in patients with diabetes and MI (DMI) at various physical activity levels.Methods: Using data from the 2001 to 2014 […]

Introduction and Objective: The Automated Insulin Delivery as Adaptive NETwork (AIDANET) FCL adjusts its aggressiveness based on glycemic metrics computed from the last 14-days of CGM records, to adapt to the different insulin requirements that individuals may have. The system was tested in a broad cohort of people with T1D. We report changes in glycemic […]

Introduction and Objective: Disruptions in circadian fasting/feeding cycles contribute to β-cell dysfunction in diabetes. Diet-induced obesity (DIO) (modeled by a high-fat diet) adversely affects circadian glucose homeostasis partly through dysregulation of fasting/feeding cycles. However, its impact on circadian β-cell function and gene expression remains unknown.Methods: To address this, we exposed male/female C57BL/6 mice to chow […]

Introduction and Objective: Glycemic variability, a key determinant of diabetes-related complications, remains a challenge in diabetes management. Time with rapid glucose change (TRC) has recently been proposed as a metric for assessing glycemic variability. There are no published data addressing the potential for AID to reduce TRC. BCDiabetes has a high volume of clients using […]

Introduction and Objective: Insulin resistance (IR) is a major factor in developing fatty liver disease (FLD) and type 2 diabetes mellitus (T2DM). This study evaluates the predictive performance of an Artificial Intelligence based IR index (AI-IR) as a digital biomarker for fatty liver (FL) and T2DM, comparing it with established tools like the Fatty Liver […]

Introduction and Objective: Clinical trials of sodium-glucose transporter 2 inhibitors (SGLT2i) in youth with type 2 diabetes (T2D) showed significant improvement in HbA1c% and fasting plasma glucose, yet there is limited real-world data on their use. This study sought to assess real-world use and effectiveness of SGLT2i medications in management of T2D in a diverse […]

Introduction and Objective: Studies assessing diabetes mellitus (DM) risk after COVID-19 infection have typically examined narrow periods of the pandemic or did not incorporate advanced causal inference methods. This study assessed the association of COVID-19 infection with incident DM 1-year post-infection, stratified by viral variant periods, among adults aged 20-80y.Methods: We analyzed electronic health record […]