Improving Treatment Strategies For Chronic Alphaviral Arthritic Diseases
Funder
National Health and Medical Research Council
Funding Amount
$643,624.00
Summary
Chikungunya virus and Ross River virus cause epidemics of acute and chronic arthritic disease in humans, which is often poorly managed with current treatments. This grant seeks to understand the mechanisms that give rise to disease in order to identify improved treatment strategies. Both the persistence of viral replication in joint tissues and unnecessary inflammatory responses appear to be important factors driving chronic disease.
The First Placebo-controlled Trial Of Opioid Analgesics For Acute Spinal Pain
Funder
National Health and Medical Research Council
Funding Amount
$1,024,067.00
Summary
Despite the widespread and increasing use of opioid analgesics, there is a complete lack of evidence on their efficacy in acute spinal pain. Concerns are also being raised because of the risks of potentially serious adverse events associated with opioid analgesics. In this world-first study, we will establish whether using opioid analgesics can effective reduce pain in people with acute spinal pain and provide rigorous evidence to inform the safe and appropriate use of this medicine.
Neuronal Substrate Of Choice In The Rat Whisker System
Funder
National Health and Medical Research Council
Funding Amount
$405,851.00
Summary
Humans and other animals can optimise their goal-directed behaviour by linking stimuli or actions to consequent positive and negative rewards. How does an animal generate such associations, and make decisions in the natural environment where the associations are often uncertain, at times contradictory, and continuously changing? This project uses rat whisker system as an animal model to identify the neuronal basis of perceptual decision making and the role of context.
Deadly Commute - Targeting The Trafficking Mechanisms That Licence Inflammatory Cell Death
Funder
National Health and Medical Research Council
Funding Amount
$774,544.00
Summary
MLKL is a protein naturally found inside cells. MLKL is activated by inflammation. Once activated, MLKL relocates to the outer periphery of cells and kills them. Gut cells are especially vulnerable to death-by-MLKL and this problem causes Inflammatory Bowel Disease. Using cutting edge microscopy, we have discovered how MLKL moves to the periphery of cells prior to killing them. We will test if blocking this movement of MLKL to the cell periphery stops gut death and Inflammatory Bowel Disease.
THE EFFECT OF STRESS AND ENVIRONMENTAL ENRICHMENT ON DISEASE PROGRESSION IN MESIAL TEMPORAL LOBE EPILEPSY
Funder
National Health and Medical Research Council
Funding Amount
$578,201.00
Summary
Mesial temporal lobe epilepsy, the most common form of drug-resistant epilepsy in adults, is a progressive neurodegenerative condition for which there is currently no effective disease modifying treatment. This proposal will explore whether co-morbid stress accelerates disease progression in MTLE, and whether targeting stress pathways by medical and environmental manipulations can mitigate against this.
A Multi-national Trial To Predict Treatment Response In Subtypes Of Depression
Funder
National Health and Medical Research Council
Funding Amount
$387,489.00
Summary
Treatment of MDD using trial and error can have serious consequences. It can prolong the patient’s suffering (depression is associated with substantial morbidity, and mortality), prolong their absence from work and other productive activity and increase the burden on their family-carers. This multi-national study will collect genetics, brain function and behavioural data from a large number of participants, allowing for sensitive predictors of response to be determined.
Prevention Of Beta Cell Destruction In Type 1 Diabetes By Immunotherapy Using Parasite-derived Molecules.
Funder
National Health and Medical Research Council
Funding Amount
$518,443.00
Summary
To prevent type 1 diabetes, compounds that avert the autoimmune destruction of beta cells are needed. We are exploiting the potential of ñworm therapyî by mimicking the beneficial immune effects of parasite worm infection. We have identified the molecules that the parasite uses to influence host immune responses. We have demonstrated that these novel immune-modulatory worm molecules prevent diabetes in a mouse model. This offers great potential for the development of therapeutic interventions.
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.Read moreRead less