Month: June 2026

Introduction and Objective: A novel fully autonomous microneedle array sensor providing semi-quantitative real-time glucose ranges expressed as three colors (Fig 1), activity and sleep data (Biolinq Incorporated, San Diego, CA) was developed to improve adherence in users with low numeracy burdened by CGM for safety and accuracy.Methods: A trial was conducted at 6 US sites […]

Introduction and Objective: While the effect of remote patient monitoring (RPM) on diabetes is typically measured by A1C and TIR, these metrics obscure hypoglycemia and glucose excursions. The Glycemia Risk Index (GRI) is a validated composite metric that integrates both high- and low-glucose exposure to provide a comprehensive assessment of glycemic risk. The GRI stratifies […]

Introduction and Objective: Lipotoxicity causes diabetic vascular injury. While mitochondrial ROS (mtROS) are key, the role of complex I reverse electron transport (RET) is unclear. We aimed to define RET’s mechanistic role.Methods: We used palmitic acid (PA)-treated endothelial cells and high-fat diet (HFD)-fed mice. Assays included mtROS, NAD+/NADH, metabolism, and RNA-seq. RET was probed using […]

Introduction and Objective: Glycemic Management Indicator (GMI) is a continuous glucose monitoring (CGM) metric increasingly used to identify prediabetes. However, alignment of this with laboratory glycated hemoglobin (HbA1c) and other CGM metrics varies, especially at lower glucose levels, risking overdiagnosis of prediabetes. We assessed HbA1c-GMI discordance and evaluated a physiological updated GMI (uGMI) for better […]

Introduction and Objective: Whether metformin affects dementia risk is unclear. We examined the association of randomized metformin (MET) vs placebo (PBO) and Intensive Lifestyle (ILS) interventions in the Diabetes Prevention Program (DPP) with cognitive impairment (CI) in the DPP Outcomes Study (DPPOS).Methods: Participants (n=1483, mean age 74 ± 8.4) were evaluated for prevalent CI in […]

Introduction and Objective: We examined the association between a composite social determinant of health (SDOH) score and incident coronary heart disease (CHD), adjusting for genetic susceptibility to CHD and traditional risk factors, among adults with T2D.Methods: We used data from 71,916 All of Us Research Program (AoU) participants with T2D who are free of CHD. […]

Introduction and Objective: While diabetic ketoacidosis (DKA) prediction models have been successfully developed using electronic health record (EHR) data, incorporating continuous glucose monitoring (CGM) metrics may further improve risk stratification. To explore this possibility, we examined the association between CGM metrics and DKA events in adults with type 1 diabetes (T1D).Methods: We identified adults with […]

Introduction and Objective: The protein kinase A (PKA) signaling cascade is the core signaling pathway of hepatic gluconeogenesis. However, the mechanisms governing PKA nuclear translocation remain incompletely understood. In this study, we identified the nuclear membrane protein TMEM201 (transmembrane protein 201) as a critical regulator of PKA nuclear translocation.Methods: PKA catalytic subunits were used as […]

Introduction and Objective: A high intake of dietary fiber has been shown to improve glycemic management in individuals living with Type 2 diabetes (T2D). We developed FiberMore, a generative AI-based mobile app grounded in the Theory of Planned Behavior, to address inadequate fiber intake in individuals with T2D, and assessed its efficacy in increasing fiber […]