We evaluated the new automated glycohemoglobin analyzer HLC-723G7 (G7) intended for beta-thalassemia diagnosis to determine correlation of hemoglobin (Hb) F and Hb A2 quantitation with the Variant beta-Thalassemia Short Program and to evaluate the performance of the G7 analyzer. Two hundred fifty EDTA blood samples with Hb A, A2, and F by Variant were analyzed for Hb A2 and Hb F by G7 device. Recovery, precision, and interference of the G7 analyzer were studied. The R2 values for Hb A2 and Hb F were 0.963 and 0.640, respectively. Recovery of Hb A2 and Hb F of low and high control samples ranged from 96% to 100% and 91% to 101%, respectively. The coefficients of variation (CVs) of intraassay precision ranged from 1.3% to 3.9% for Hb F and 0.0 to 1.9% for Hb A2. The CVs of interassay precision ranged from 1.9% to 5.6% for Hb F and 2.5% to 3.0% for Hb A2. The CVs for Hb F in both conjugated bilirubin and chyle substance groups were higher than the CVs for Hb A2. This evaluation revealed very good correlation of Hb A2 measurement between the G7 and the Variant devices. The performance evaluation demonstrated good recovery, precision, and low interference of both Hb A2 and Hb F measurements.
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http://dx.doi.org/10.1532/lh96.03057 | DOI Listing |
Front Cell Neurosci
December 2024
Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Friedman Brain Institute, New York, NY, United States.
Introduction: Diabetes is a metabolic disorder of glucose homeostasis that is a significant risk factor for neurodegenerative diseases, such as Alzheimer's disease, as well as mood disorders, which often precede neurodegenerative conditions. We examined the medial habenulainterpeduncular nucleus (MHb-IPN), as this circuit plays crucial roles in mood regulation, has been linked to the development of diabetes after smoking, and is rich in cholinergic neurons, which are affected in other brain areas in Alzheimer's disease.
Methods: This study aimed to investigate the impact of streptozotocin (STZ)-induced hyperglycemia, a type 1 diabetes model, on mitochondrial and lipid homeostasis in 4% paraformaldehyde-fixed sections from the MHb and IPN of C57BL/6 J male mice, using a recently developed automated pipeline for mitochondrial analysis in confocal images.
Front Endocrinol (Lausanne)
January 2025
Università degli Studi di Milano, Milano, Italy.
Telemedicine (TM) has emerged as a valuable tool in managing pediatric type 1 diabetes (T1D), particularly during the COVID-19 pandemic when traditional in-person visits were limited. This narrative review examines the impact of TM on patient-provider relationships, glycemic control, and overall diabetes management in children and adolescents with T1D. Studies consistently demonstrate high levels of patient and provider satisfaction with TM, citing increased consultation frequency, reduced travel burdens, and lower associated costs.
View Article and Find Full Text PDFPediatr Rep
December 2024
Department of Endocrinology, Diabetes Mellitus, Nutrition and Metabolic Disorders, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Background: Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood glucose levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or for adaptive tuning in hybrid closed-loop systems. This longitudinal retrospective study aims to analyze real-world glycemic outcomes in a pediatric population transitioning to such devices.
View Article and Find Full Text PDFBackground: Older adults with type 1 diabetes are at risk for serious hypoglycemia. Automated insulin delivery can reduce risk but has not been sufficiently evaluated in this population.
Methods: We conducted a multicenter, randomized crossover trial in adults older than or equal to 65 years of age with type 1 diabetes.
Ann Behav Med
January 2025
Department of Psychology, San Diego State University, San Diego, CA, 92182, United States.
Objective: To compare the effectiveness of a static, text-based diabetes education and support intervention (Dulce Digital, DD) versus a dynamic approach with personalized feedback and goal setting (Dulce Digital-Me, DD-Me) in improving diabetes outcomes.
Design And Methods: Comparative effectiveness trial in 310 Latine adults with poorly managed type 2 diabetes in a Federally Qualified Health Center in Southern California, randomized to DD, DD-Me-Auto (algorithm-driven text-based personalized feedback), or DD-Me-Tel (coach delivered personalized feedback). Changes in HbA1c (primary outcome), low-density lipoprotein-cholesterol, systolic blood pressure, and patient-reported outcomes were examined across 6 and 12 months, with the primary comparison being DD versus DD-Me (combined automated and telephonic).
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