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Type 1 diabetes in pregnancy is associated with distinct changes in the composition and function of the gut microbiome

The gut microbiome changes in response to a range of environmental conditions, life events and disease states. Pregnancy is a natural life event that involves major physiological adaptation yet studies of the microbiome in pregnancy are limited and their findings inconsistent. Pregnancy with type 1 diabetes (T1D) is associated with increased maternal and fetal risks but the gut microbiome in this context has not been characterized. By whole metagenome sequencing, we defined the taxonomic composition and function of the gut bacterial microbiome across 70 pregnancies, 36 in women with T1D.

Investigating associations between birth order and autism diagnostic phenotypes

Birth order effects have been linked to variability in intelligence, educational attainment and sexual orientation. First- and later-born children have been linked to an increased likelihood of an Autism Spectrum Disorder (ASD) diagnosis, with a smaller body of evidence implicating decreases in cognitive functioning with increased birth order.

Additional Insulin Is Required in Both the Early and Late Postprandial Periods for Meals High in Protein and Fat: A Randomized Trial

The pattern and quantity of insulin required for high-protein high-fat (HPHF) meals is not well understood. This study aimed to determine the amount and delivery pattern of insulin required to maintain euglycemia for 5 hours after consuming a HPHF meal compared with a low-protein low-fat (LPLF) meal.

Meal-time glycaemia in adults with type 1 diabetes using multiple daily injections vs insulin pump therapy following carbohydrate-counting education and bolus calculator provision

To compare meal-time glycaemia in adults with type 1 diabetes mellitus managed with multiple daily injections vs. insulin pump therapy, using self-monitoring blood glucose, following diabetes education.

Continuous subcutaneous insulin infusion alters microRNA expression and glycaemic variability in children with type 1 diabetes

To determine whether continuous subcutaneous insulin infusion (CSII) vs. multiple daily injections (MDI) therapy from near-diagnosis of type 1 diabetes is associated with reduced glycaemic variability (GV) and altered microRNA (miRNAs) expression.

Effects of dietary fat and protein on glucoregulatory hormones in adolescents and young adults with type 1 diabetes

Dietary fat and protein impact postprandial hyperglycaemia 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.

A randomised trial of a trauma-informed well-being program to promote mental health in adolescents with type 1 diabetes: Study protocol

Children and young people with type 1 diabetes (T1D) experience high rates of mental ill health and stress due to the emotional and cognitive energy required to manage their condition. Our team has codesigned Wellbeing T1D, a brief trauma-informed online intervention for adolescents living with T1D. This 5-week intervention will teach skills to promote problem solving, improve emotional regulation and promote helpful thinking and coping.

The Promoting Resilience in Stress Management for Parents (PRISM-P) Intervention: A Pilot Randomised Controlled Trial in Parents of Young Children With Type 1 Diabetes

Parents of young children with type 1 diabetes (T1D) are at risk of experiencing elevated stress due to their responsibilities as caregivers. Despite this, there are limited interventions designed to enhance resilience in this population of parents. This pilot randomised controlled trial aimed to examine the acceptability, appropriateness, and feasibility of the Promoting Resilience in Stress Management for Parents (PRISM-P) intervention in parents of young children with T1D.

A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications and future directions

To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review

Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness of digital health interventions in improving mental health outcomes among adults with diabetes, as well as assess the methodological quality of relevant studies and provide a commentary on research gaps and future directions.