The role of epigenetic dysregulation in the epidemic of allergic disease

The epidemic of allergic disease in early life is one of the clearest indicators that the developing immune system is vulnerable to modern environmental changes. A range of environmental exposures epidemiologically associated with allergic disease have been shown to have effects on the foetal immune function in pregnancy, including microbial burden, dietary changes and environmental pollutants. Preliminary studies now suggest that these early effects on immune development may be mediated epigenetically through a variety of processes that collectively modify gene expression and allergic susceptibility and that these effects are potentially heritable across generations. It is also possible that rising rates of maternal allergy, a recognised direct risk factor for infant allergic disease, may be further amplifying the effects of environmental changes. Whilst effective prevention strategies are the ultimate goal in reversing the allergy epidemic, the specific environmental drivers, target genes, and intracellular pathways and mechanisms of early life immune programming are still unclear. It is hoped that identifying genes that are differentially regulated in association with subsequent allergic disease will assist in identifying causal pathways and upstream contributing environmental factors. In this way, epigenetic paradigms are likely to provide valuable insights into how the early environment can be modified to more favourably drive immune development and reverse the allergic epidemic

Testing a model of adoption and continued use of Personally Controlled Electronic Health Record (PCEHR) system among Australian consumers: a preliminary study

This study aims to investigate factors influencing adoption and continued use of PCEHR system among consumers (individual users) in Australia. The data collected via online questionnaire survey were analysed via a Structural Equation Modelling (SEM) approach. The results indicate that: (1) “External Factors & Influences” and “Individual Differences” are significant factors that influence “Perceived Benefits” of the PCEHR system, which in turn influence adoption of the PCEHR system; (2) “External Factors & Influences”, “Individual Differences”, and “PCEHR System Characteristics” are significant factors that influence “Perceived User Friendliness” of the PCEHR system, which in turn influence adoption of PCEHR system; (3) “Facilitating Factors” are significant factors that influence both “Realized Benefits” and “Realized User Friendliness”, which in turn influence continued use of PCEHR system; and (4) “Voluntariness of Adoption” and “Voluntariness of Continued Use” are significant factors that influence both adoption and continued use of the PCEHR system respectively