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Differential DNA methylation of steatosis and non-alcoholic fatty liver disease in adolescenceEpigenetic modifications are associated with hepatic fat accumulation and non-alcoholic fatty liver disease (NAFLD). However, few epigenetic modifications directly implicated in such processes have been identified during adolescence, a critical developmental window where physiological changes could influence future disease trajectory. To investigate the association between DNA methylation and NAFLD in adolescence, we undertook discovery and validation of novel methylation marks, alongside replication of previously reported marks.
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Youth-onset type 2 diabetes among First Nations young people in northern Australia: a retrospective, cross-sectional studyLiz Davis MBBS FRACP PhD Co-director of Children’s Diabetes Centre Co-director of Children’s Diabetes Centre Professor Davis is a paediatric
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Suboptimal glycemic control in adolescents and young adults with type 1 diabetes from 2011 to 2020 across Australia and New Zealand: Data from the Australasian Diabetes Data Network registryCompeting challenges in adolescence and young adulthood can distract from optimal type 1 diabetes (T1D) self-management, and increase risks of premature morbidity and mortality. There are limited data mapping the glycemic control of people with T1D in this age group, across Australasia.
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Demographic and clinical characteristics of a population-based pediatric cohort of type 1 and type 2 diabetes in Western Australia (1999-2019)To determine demographic and clinical characteristics of youth diagnosed with Type 1 (T1D) or Type 2 (T2D) diabetes aged =15 years from 1999 to 2019 in Western Australia, and examine time to first diagnosis of diabetes complications. A retrospective cohort study was conducted of patients identified from the population-based, prospective Western Australian Children's Diabetes Database and longitudinal data extracted for available demographic and clinical variables.
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Small-area geographical variation in the prevalence of diabetes amongst Australian youth aged <20 years in 2021To characterise small-area geographical variation in the prevalence of diabetes in Australian youth. A combined statistical reconstruction and small-area estimation algorithm was applied to privacy-modulated data from the 2021 Australian Census.
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Contributions of digital technologies for resilience capacity in a type 1 diabetes transition clinic: A qualitative studyA type 1 diabetes (T1D) transition clinic in Sydney, Australia, provides age specific care for young adults (aged 16-25 years) and for adults (aged 21 years and above), and has reported improved clinical outcomes post transition to adult care over a 21-year period. This study investigated the contribution of digital technology to long-term resilient capacity of the clinic.
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SARS-CoV-2 Infection and Childhood Islet AutoimmunityThis cohort study examines whether there is a temporal association between SARS-CoV-2 infection and the development of islet autoimmunity among Australian children with a first-degree relative with type 1 diabetes.
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Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 DiabetesTechnology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.
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T-Cell Expression and Release of Kidney Injury Molecule-1 in Response to Glucose Variations Initiates Kidney Injury in Early DiabetesHalf of the mortality in diabetes is seen in individuals <50 years of age and commonly predicted by the early onset of diabetic kidney disease (DKD). In type 1 diabetes, increased urinary albumin-to-creatinine ratio (uACR) during adolescence defines this risk, but the pathological factors responsible remain unknown.
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Optimization of blood handling and peripheral blood mononuclear cell cryopreservation of low cell number samplesRural/remote blood collection can cause delays in processing, reducing PBMC number, viability, cell composition and function. To mitigate these impacts, blood was stored at 4◦ C prior to processing. Viable cell number, viability, immune phenotype, and Interferon-γ (IFN-γ) release were measured.