Introduction and Objective: Diabetes (DM) is an independent risk factor for ischemic heart disease (IHD). We aim to investigate disparities in diabetes-related ischemic heart disease (DRIHD) mortality trends within specific epidemiological groups.Methods: We extracted data from the CDC WONDER database from 1999 to 2020.IHD was listed as the main cause of death (ICD codes: I20-I25), […]
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426-P: Predicting Coronary Stenoses Using Machine Learning to Reduce Unnecessary Angiographies
Introduction and Objective: Coronary angiography is the gold standard for diagnosing coronary artery stenoses, but is invasive and confers potential risks. This study aimed to develop a Machine Learning (ML) model to predict significant stenoses while minimizing false negatives, ensuring accurate risk stratification and better patient selection.Methods: Data from 2,310 patients undergoing coronary angiography were […]
Read More1225-P: Identification of Novel Extracellular Vesicle–Based Circulating Biomarkers for Type 1 Diabetes
Introduction and Objective: Type 1 diabetes (T1D) is an autoimmune disease that causes loss of β-cell mass and insulin secretion. Early Stage 3 T1D includes β-cell dysfunction and activation of intrinsic stress pathways before clinical diagnosis, making this ‘asymptomatic’ period critical for prediction and prevention. Circulating plasma extracellular vesicles (EVs) are promising non-invasive biomarkers for […]
Read More425-P: Machine Learning Identifies Glypican 4 as Key Predictor of Five-Year Mortality in Heart Failure Patients with Prediabetes or Diabetes
Introduction and Objective: The rise of Big Data necessitates artificial intelligence-driven analyses to extract valuable insights, particularly for risk prediction in high-risk patient populations. This observational study applied machine learning (ML) algorithms to predict 5-year overall mortality in heart failure patients with type 2 diabetes mellitus (T2DM) or prediabetes.Methods: A cohort of 290 heart failure […]
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WHO Recommends Highly Effective, Twice-Yearly Shot for Prevention
Share on PinterestLenacapavir is a twice-yearly injection to prevent HIV that could improve adherence rates compared to other PrEP medications. d3sign/Getty Images The WHO issued a global recommendation for lenacapavir, a highly effective, twice-yearly injection to prevent HIV infection. The recommendation follows a recent FDA approval for the drug, which will be sold in the […]
Read More2075-LB: Identify High-Risk Insulin Autoantibodies for T1D in General Population by a New Bridging ELISA
Introduction and Objective: In general population screening for type 1 diabetes (T1D), large proportion of islet autoantibodies (IAbs) detected by the standard radio-binding assay (RBA) are not predictive due to low-affinity. Electrochemiluminescence (ECL) IAb assay has been shown in multiple studies to improve predictive accuracy by detecting high-affinity IAbs. Our new bridging ELISA for insulin […]
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Increasing Protein Intake Could Help Prevent Muscle Loss
Share on PinterestNew research suggests that eating more protein while taking GLP-1 drugs could help prevent muscle loss. Stocksy United Increasing protein intake while taking GLP-1 drugs for weight loss could help prevent muscle loss, according to a new study. As a common side effect of weight loss, muscle loss could also lead to decreased […]
Read More2178-LB: BI-4659, an Adipose Tissue–Enriched Mitochondrial Uncoupler, Reverses Diet-Induced Obesity in Mice
Introduction and Objective: Obesity presents a major global health concern with increasing prevalence worldwide. Currently, GLP-1 based therapies present the most effective treatment for obesity, but their tolerability and efficacy are limited by gastrointestinal side effects and compensatory reduction in energy expenditure (EE). Mitochondrial uncoupling by protonophores was shown to increase EE and reduce body […]
Read More1154-P: Increasing Awareness and Identification of Maturity-Onset Diabetes of the Young (MODY) in a Pediatric Diabetes Clinic
Introduction and Objective: MODY is frequently misdiagnosed, but accurate diagnosis can afford alternate management options. Prevalent barriers to MODY identification include lack of familiarity with MODY testing guidelines and insurance denial for testing. We launched a quality improvement (QI) project in 2022 at a pediatric, tertiary care center which aimed to: (1) increase the number […]
Read More2177-LB: Mitochondrial Infiltration of Nuclear-Derived circRNA circBirc6 Regulates ATP Synthase Assembly and Fat Differentiation, Linking Energy Metabolism to Obesity
Introduction and Objective: Impaired adipocyte differentiation contributes to insulin resistance and obesity-related type 2 diabetes. Mitochondrial dysfunction is central to impaired adipogenesis. This study investigates how nuclear-encoded circRNA circBirc6 regulates mitochondrial function and adipogenesis, and its role in metabolic disorders.Methods: We used obesity and adipose-specific circBirc6 knockdown mouse models, and clinical samples from obese and […]
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