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Five things that may surprise you about type 1 diabetes

Professor Liz Davis reveals five things you might not know about type 1 diabetes.

Research

Bioenteric Intragastric Balloon

The purpose of this randomized clinical trial is to determine whether the use of the BIB aids weight loss in obese adolescents.

Research

Neurocognitive outcomes of children with type 1 diabetes mellitus

To conduct an analysis of children with TIDM’s cognitive profile at an age in which both cognition and cortical development are still maturing

Research

Effects of Dietary Fat and Protein on Glucoregulatory Hormones in Adolescents and Young Adults With Type 1 Diabetes

Dietary fat and protein impact postprandial hyperglycemia in people with type 1 diabetes, but the underlying mechanisms are poorly understood. Glucoregulatory hormones are also known to modulate gastric emptying and may contribute to this effect.

Research

Environmental determinants of islet autoimmunity (ENDIA): a pregnancy to early life cohort study in children at-risk of type 1 diabetes

These observations suggest factors in the modern environment promote pancreatic islet autoimmunity and destruction of insulin-producing beta cells.

Research

Exercise training improves vascular function in adolescents with type 2 diabetes

Exercise training can improve both endothelial function and health, independent of changes in insulin sensitivity in adolescents with type 2 diabetes

Research

Cost-effectiveness analysis of routine screening using massively parallel sequencing for maturity-onset diabetes of the young in a pediatric diabetes cohort

Routine MPS screening for Maturity-onset diabetes of the young in the pediatric population with diabetes could reduce health system costs and improve patient QoL

Research

The use of continuous glucose monitoring with remote monitoring improves psychosocial measures in parents of children with type 1 diabetes: A randomized crossover trial

CGM with remote monitoring was found to improve multiple measures of quality of life, reduce family stress, and improve parental sleep

Research

Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking

Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for in utero cigarette smoke exposure.