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Research Topic : X linked disorder
Australian State/Territory : NSW
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  • Funded Activity

    Mechanism Of Anoxic Iron Acquisition In Pathogenic Bacteria

    Funder
    National Health and Medical Research Council
    Funding Amount
    $536,280.00
    Summary
    All organisms require iron for their survival, including all bacterial species. Bacterial pathogens growing in anaerobic environments, such as in our gut, gum, or tissue, sequester iron through the divalent iron transporter FeoB. We aim to divulge the mechanism of iron transport through FeoB by structural and functional studies, and thus provide a scaffold for a non-conventional antimicrobial target.
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    Funded Activity

    Using Reward-based Biomarkers To Improve The Early Detection Of Bipolar Disorder In Individuals Seeking Treatment For Depression

    Funder
    National Health and Medical Research Council
    Funding Amount
    $366,252.00
    Summary
    Bipolar disorder is often misdiagnosed as unipolar major depression, which can have disastrous clinical consequences. Emerging evidence indicates that individuals with bipolar disorder show particular dysfunctions within brain regions involved in processing reward. This research will use cutting-edge neuroscience methodologies to investigate reward processing in these two disorders, with the objective of identifying biological markers that help distinguish bipolar from unipolar depression.
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    Funded Activity

    Brain Connectivity Imaging Markers To Confirm Diagnosis For Bipolar Vs. Unipolar Depression – A Connectome Approach.

    Funder
    National Health and Medical Research Council
    Funding Amount
    $434,369.00
    Summary
    Differentiating Bipolar disorders from Unipolar Depression is a major clinical challenge. This misdiagnosis hinders optimal clinical care and has many deleterious consequences such self-harm, increased chances of suicide, poor prognosis, and greater health care costs related to this disorder. This project will provide urgently-needed advance in accurate identification of Bipolar disorders using Magnetic Resonance Imaging and remove one of the key obstacles to accurate diagnosis.
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    Funded Activity

    Predictors Of Response To Antidepressants: Evidence From Clinical, Psychometric, Neurogenetic And Neuroimaging Measures.

    Funder
    National Health and Medical Research Council
    Funding Amount
    $274,312.00
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    Funded Activity

    Australian Longitudinal Study Of Heroin Dependence: An 18-20yr Prospective Cohort Study Of Mortality, Abstinence, And Psychiatric And Physical Health Comorbidity

    Funder
    National Health and Medical Research Council
    Funding Amount
    $1,210,319.00
    Summary
    The burden associated with heroin dependence is undeniable. But little is known about the natural history and long-term course of heroin dependence; knowledge that is critical for informing the development of new treatment interventions, health care planning and service delivery. We propose to extend our study of 615 Australians with heroin dependence, recruited in 2001-2002, to 18-20 years follow-up to answer critical questions about the long-term impact of this condition.
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    Funded Activity

    Characterising The Beta-catenin Nuclear Targeting Pathway In Cancer

    Funder
    National Health and Medical Research Council
    Funding Amount
    $485,081.00
    Summary
    Bowel cancer is caused by inherited gene mutations that cause build-up of beta-catenin protein in the cell nucleus. Bowel cancer is the second largest cause of cancer deaths in Australia. We aim to study the mechanisms controlling beta-catenin accumulation in the nucleus. We will characterise new signalling pathways that control movement and activity of beta-catenin in the nucleus. This will yield insights into the role of beta-catenin in cancer and possible targets for therapy.
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    Funded Activity

    The Role Of The Orbitofrontal Cortex In Disorders Of Response Inhibition

    Funder
    National Health and Medical Research Council
    Funding Amount
    $515,488.00
    Summary
    We will investigate the role of the orbitofrontal cortex (OFC) in decision-making, particularly the effect of hyperactivity in the medial vs. ventrolateral orbitofrontal cortex on decision-making. Hyperactivity in these structures has been linked to obsessive compulsive disorder and, in line with the distinct functions of the different regions of OFC, we develop and test a novel hypothesis as to the psychological and neural bases of the obsessions and compulsions distinctive to that disorder.
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    Funded Activity

    Motor Trajectories Of Children Born

    Funder
    National Health and Medical Research Council
    Funding Amount
    $668,387.00
    Summary
    Motor problems, ranging from clumsiness to cerebral palsy, are one of the most common adverse outcomes in children born early. This study will investigate the motor development of children born <30 weeks’ gestation compared with peers born at term from birth to 5 years. We will determine whether early clinical evaluations or neuroimaging in the newborn period can predict later motor impairment at 5 years to be able to identify those who will benefit most from early intervention.
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    Funded Activity

    The Validation Of A Culturally-specific Measure To Identify Depression In Aboriginal And Torres Strait Islander People With Or Without Chronic Disease

    Funder
    National Health and Medical Research Council
    Funding Amount
    $658,971.00
    Summary
    The project aims to determine whether a short, free-to-use, questionnaire about depression that has been adapted for use with Aboriginal and Torres Strait Islander people, accurately identifies depression in this population. Specifically we aim to test whether this measure is suitable for use in primary care settings with Aboriginal and Torres Strait Islander people with or without chronic disease.
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    Funded Activity

    Predictors Of Response To Antidepressants: Utility Of Behavioural, Neuroimaging And Genetics Data

    Funder
    National Health and Medical Research Council
    Funding Amount
    $310,071.00
    Summary
    Major depressive disorder (MDD) is projected to cause the second greatest global burden of disease by 2020, highlighting the urgent need for valid predictors of effective treatment response. Currently, there are no accurate predictors of response to antidepressants in MDD, and successful treatment relies greatly on 'trial and error'. This process is demanding on health resources, and may be a factor in the high suicide rates in depressed patients. Previous research on treatment response has been .... Major depressive disorder (MDD) is projected to cause the second greatest global burden of disease by 2020, highlighting the urgent need for valid predictors of effective treatment response. Currently, there are no accurate predictors of response to antidepressants in MDD, and successful treatment relies greatly on 'trial and error'. This process is demanding on health resources, and may be a factor in the high suicide rates in depressed patients. Previous research on treatment response has been limited by recruitment of small, heterogeneous patient samples, lack of placebo control, and a failure to examine task related activity in brain imaging studies. Perhaps one of the more troubling aspects of research that aims to predict treatment response to antidepressant medications is the use of commonly used outcome measures such as the Hamilton Rating Depression Scale (HAM-D), which were developed long before current classification systems of depression came into use. The US Federal Drug Administration has recently identified what they call a translational gap such that behavioural and biological measures are the most robust for detection of disorders such as depression, yet these measures remain to be translated into clinical tools that can be used to evaluate treatment. The aim of the current study therefore is to determine whether genetic variability is related to treatment outcome as defined by a more objective outcome measure (facial expression perception) using a randomised controlled design. The study will also determine whether brain measures (fMRI, EEG) enhance the prediction of SSRI response to both clinical and behavioural measures, over and above the genetic contribution.
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