Digital Technology for Diabetes
MS Hughes et al, NEJM, November 29, 2023
From the article: "It is not unreasonable to forecast that developments in diabetes technology will continue to improve glycemic control while decreasing the burdens for patients in managing diabetes. If widely adopted, these types of technology have the potential to improve the lives of both patients with type 1, type 2, and other forms of diabetes. The onus lies with the medical profession to help achieve greater and more equitable use of these methods. "
Including diverse populations enhances the discovery of type 2 diabetes loci
S Fatumo, Nat Rev Genetics, November 22, 2023
From the paper: "A recent multi-ancestry GWAS meta-analysis greatly advances our understanding of the genetic basis of T2D by encompassing a broad range of populations. The insights gained from this research provide a foundation for future functional investigations, therapeutic development and the translation of GWAS findings to improve global health outcomes for all, regardless of genetic background. "
Association Between a First-Degree Family History and Self-Reported Personal History of Obesity, Diabetes, and Heart and Blood Conditions: Results From the All of Us Research Program.
Danielle Rasooly et al. J Am Heart Assoc 2023 11 e030779
From the abstract: "We assessed the association between a self-reported family history of ODHBs and their risk in the adult population (age =20 years) of the AoU (All of Us) Research Program, a longitudinal cohort study of diverse participants across the United States. We conducted a family history-wide association study to systematically assess the association of a first-degree family history of 15 ODHBs in AoU. We use the FamWAS method to estimate 225 familial associations among 15 ODHBs. The results include overlapping associations between family history of different types of cardiometabolic conditions (such as type 2 diabetes and coronary artery disease), and their risk factors (obesity, hypertension), where adults with a family history of 1 ODHB exhibited 1.1 to 5.6 times (1.5, on average) the odds of having a different ODHB. "
Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups.
Vishal A Salunkhe et al. NPJ Digit Med 2023 10 (1) 199
From the abstract: "To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n?=?331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4?mmol/mol compared with matched controls; P?=?0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. "