Share on PinterestAbout three-quarters of gastric cancer cases worldwide have been linked to the common bacteria H. pylori. Courtney Hale/Getty Images Researchers say about three-quarters of gastric cancer cases worldwide are caused by the common bacterium Helicobacter pylori. H. pylori infection doesn’t always produce symptoms, so it’s important to get screened for any persistent gastric-related […]
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714-P: Oral Glucose Tolerance Test or Continuous Glucose Monitoring for Assessment of Prediabetes State
Introduction and Objective: The oral glucose tolerance test (OGTT) is ‘gold standard’ for defining carbohydrate metabolism abnormalities. Continuous Glucose Monitoring (CGM) is routinely used in diabetes patients for control assessment and dose adjustment but its role for assessment of prediabetes state is still not clear.The objective of our study is to assess the correlation between […]
Read More212-OR: Hepatic Overexpression of ACSS3 Alters Glucose Control and Fatty Acid Metabolism in Lean Mice
Introduction and Objective: Short chain fatty acids (SCFAs) are associated with adverse metabolic outcomes; however, little is known about their link to metabolic disease. Emerging evidence suggests that in addition to acting as signaling molecules, SCFAs also impact cellular metabolism via their conversion to acyl-CoAs by short chain acyl-CoA synthetase (ACSS) enzymes. ACSS3 is a […]
Read More70-OR: Risks of Cancers among Novel Subtypes of Type 2 Diabetes—A Longitudinal Analysis from the United States
Introduction and Objective: Type 2 diabetes (T2D) may be associated with higher cancer risk through chronic inflammation, insulin resistance, and obesity. We assessed cancer risks across T2D subtypes.Methods: Newly diagnosed T2D (n = 727,076; age: 64.4 years [SD:13.3], 52% female) over 2012-2023 from the Epic Cosmos platform were classified into Severe Insulin-Deficient Diabetes (SIDD, 21.6%), […]
Read More2129-LB: Genetic Predisposition for Macronutrient Preference Associates with Postprandial Glycemic Responses to Foods—A Recall-by-Genotype Study
Introduction and Objective: Identifying predictors of postprandial glycemic response variability is critical to advance precision medicine for metabolic diseases. We evaluated whether polygenic scores for macronutrient preference influence postprandial responses to mixed-meals in a clinical setting.Methods: We performed a recall-by-genotype study in 22 adults (21-65 yrs; 54% female) without obesity or metabolic disease, recruited based […]
Read More1219-P: GMI Remains a Valid Indicator of Glycemic Control in Adolescents and Young Adults (AYA) with T1D
Introduction and Objective: Published data support use of 14 days of CGM to provide reliable estimates of CGM metrics, including the glucose management indicator (GMI) to estimate A1c. We examined relationships between A1c and GMI in AYA.Methods: AYA with T1D, aged 14-25 years, wore Dexcom CGM (G6 or G7) for up to 90 days prior […]
Read More2128-LB: Novel Predicted Loss of Function Variants in TRIP10/CIP4 Associated with Atypical Diabetes in Two Unrelated Individuals
Introduction and Objective: Thyroid Hormone Interacting Protein 10 (TRIP10), also known as CDC42-Interacting Protein 4 (CIP4) is required for insulin mediated translocation of GLUT4 to the plasma membrane in response to insulin signaling. However, no monogenic forms of diabetes have been attributed to this gene. The Rare and Atypical DIAbetes NeTwork (RADIANT) is a multicenter […]
Read More199-OR: Mutation in CELA2A Drives Impaired Pancreatic Islet Development and Function
Introduction and Objective: Loss-of-function mutations in the exocrine pancreatic enzyme chymotrypsin-like elastase (CELA2A) are associated with metabolic syndrome and diabetes. CELA2A is a ubiquitously expressed protein that enters circulation and enhances both insulin secretion and sensitivity. Mice with global deletion of Cela2a exhibit impaired glucose-stimulated insulin secretion, accompanied by reduced pancreatic islet size and number, […]
Read More2011-LB: iPhone App Adoption Improves Bolusing Frequency in Adolescents and Young Adults with Type 1 Diabetes (T1D)—Insights from Real-World Omnipod 5 Automated Insulin Delivery (AID) System Use
Introduction and Objective: The Omnipod 5 App for iPhone allows users to interact with the Omnipod 5 System and discreetly manage their diabetes via personal smartphone. This study evaluated real-world bolusing behaviors in adolescent and young adult Omnipod 5 users with T1D in the US switching to the iPhone app.Methods: A retrospective analysis of CGM […]
Read More2104-LB: AI-Based SHAP Clustering Identifies High-Risk Subgroups for Type 2 Diabetes in a Korean Cohort
Introduction and Objective: We applied AI-based SHAP (Shapley Additive Explanations) clustering to identify high-risk individuals for diabetes in a population-based Korean cohort.Methods: KoGES data were analyzed, comparing individuals who developed type 2 diabetes (T2DM) within five years to those who remained diabetes-free. A predictive model utilizing transfer learning and intermediate fusion was used. Among 27,745 […]
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