Prevention of type 1 diabetes

Skyler, Macp Jay S.

doi:10.1002/9781118387658.ch37

Cited by 1 publication

(2 citation statements)

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“…Therefore, for the patients diagnosed with prediabetes who are unlikely to respond well to lifestyle modification might be better served by other therapeutic treatments, but more studies were required to properly identify this subgroup of prediabetes. Meanwhile, efforts have also https://doi.org/10.1017/pcm.2023.12 Published online by Cambridge University Press been made to prevent the incidence of type 1 diabetes in high-risk children with at least 2 islet autoantibodies using dietary interventions and/or immune-targeting approaches 52 .…”

Section: Precision Preventionmentioning

confidence: 99%

“…Therefore, the patients diagnosed with prediabetes who are unlikely to respond well to lifestyle modification might be better served by other therapeutic treatments, but more studies were required to properly identify this subgroup of prediabetes. Meanwhile, efforts have also been made to prevent the incidence of type 1 diabetes in high-risk children with at least two islet autoantibodies using dietary interventions and/or immune-targeting approaches (Skyler et al, 2018 ). Unfortunately, most previous intervention studies were unable to slow, halt or reverse the destruction of beta cells or delay the progression of type 1 diabetes (Hummel et al, 2011 ; Knip et al, 2018 ).…”

Section: Precision Preventionmentioning

confidence: 99%

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Updates of precision medicine in type 2 diabetes

Xia¹,

Li²

2023

Camb. prisms Precis. med.

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Diabetes mellitus is prevalent worldwide and affects one in ten adults. Despite of the successful development of glucose-lowering drugs, such as glucagon-like peptide-1 (GLP-1) receptor agonists and sodium-glucose cotransporter-2 inhibitors recently, the proportion of patients achieving satisfactory glucose control has not risen as expected. The heterogeneity of diabetes determines that a one-size-fits-all strategy is not suitable for people with diabetes.Diabetes is undoubtedly more heterogeneous than the conventional subclassification, such as type 1, type 2, monogenic and gestational diabetes. The recent progress in genetics and epigenetics of diabetes has gradually unveiled the mechanisms underlying the heterogeneity of diabetes, and cluster analysis has shown promising results in the substratification of type 2 diabetes, which accounts for 95% of diabetic patients. More recently, the rapid development of sophisticated glucose monitoring and artificial intelligence technologies further enabled comprehensive consideration of the complex individual genetic and clinical information and might ultimately realize precision diagnosis and treatment in diabetics.

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Section: Precision Preventionmentioning

confidence: 99%