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Research

The ORIGINS Project Biobank: A Collaborative Bio Resource for Investigating the Developmental Origins of Health and Disease

Early onset Non-Communicable Diseases (NCDs), including obesity, allergies, and mental ill-health in childhood, present a serious and increasing threat to lifelong health and longevity. The ORIGINS Project (ORIGINS) addresses the urgent need for multidisciplinary efforts to understand the detrimental multisystem impacts of modern environments using well-curated large-scale longitudinal biological sample collections.

Research

PKC activation promotes maturation of cord blood T cells towards a Th1 IFN-γ propensity

A significant number of babies present transiently with low protein kinase C zeta (PKCζ) levels in cord blood T cells, associated with reduced ability to transition from a neonatal Th2 to a mature Th1 cytokine bias, leading to a higher risk of developing allergic sensitisation, compared to neonates whose T cells have 'normal' PKCζ levels. However, the importance of PKCζ signalling in regulating their differentiation from a Th2 to a Th1 cytokine phenotype propensity remains undefined.

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Neurodevelopmental outcomes in children after prenatal marijuana exposure

The effect of prenatal marijuana exposure on child neurodevelopment remains poorly understood. Prior studies have demonstrated inconsistent results.

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Immune impacts of infant whole-cell and acellular pertussis vaccination on co-administered vaccines

We compared the effect of a heterologous wP/aP/aP primary series (hereafter mixed wP/aP) versus a homologous aP/aP/aP primary schedule (hereafter aP-only) on antibody responses to co-administered vaccine antigens in infants and toddlers.

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The Association Between Breakfast Skipping and Positive and Negative Emotional Wellbeing Outcomes for Children and Adolescents in South Australia

The prevalence of child and adolescent breakfast skipping is concerning, and limited existing evidence suggests an association between skipping breakfast and negative emotional wellbeing outcomes. However, positive emotional wellbeing outcomes have been neglected from research in this space.

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In utero and early-life nitrate in drinking water impacts lung function of weanling rats

Consumption of nitrate in drinking water has previously been associated with a range of adverse health effects, including methemoglobinemia and potentially cancer. In animal models, it has been shown to impact respiratory structure and function, however, there is a paucity of data of the effects of in utero exposure on the respiratory health of offspring.

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Koorlangka Dreaming Becomes a Reality: A Moombaki Virtual Reality with Connections to Noongar Moort, Boodja, and Karnarn

In this paper, we describe the developmental process of a culturally grounded Moombaki virtual reality (VR) game. We share how Aboriginal children’s drawings have informed the creation of an interactive learning platform for primary school-aged children attending schools in Wadjuk Boodja. The project focused on connecting students to cultural knowledge through immersive storytelling, creative exploration, and collaborative design by using small group yarning circles and game development activities.

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Change in Dental Visits Among Eligible Children Under the Impact of the Child Dental Benefits Schedule in Australia

In Australia, although there have been some improvements, child oral health continues to be a major public health issue. The Australian Government introduced the means-tested Child Dental Benefits Schedule (CDBS) in 2014 to support access to dental services for children and adolescents aged 0-17 years from low-income families. 

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Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.

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Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.