Post-stroke Hyperglycaemia – Treatment With Exenatide In Acute Ischaemic Stroke (TEXAIS) Trial
Funder
National Health and Medical Research Council
Funding Amount
$1,266,149.00
Summary
Raised blood glucose levels (hyperglycaemia) after a stroke is common. It reduces the efficacy of stroke treatments and results in worse outcomes. Insulin is not useful as a treatment for this as it causes frequent hypoglycaemia and does not improve clinical outcomes. Exenatide is a common diabetes drug that is simple to use and lowers blood glucose without hypoglycaemia. It will be tested in the Treatment with Exenatide in Acute Ischaemic Stroke (TEXAIS) trial.
Impact Of Advanced Glycation On Anti-atherogenic Properties Of High Density Lipoprotein
Funder
National Health and Medical Research Council
Funding Amount
$372,471.00
Summary
Type 2 diabetes is a rapidly growing medical problem in Australia and around the world. Diabetes affects human health through its complications and the cardiovascular complications are a cause for major concern. One of the complications is the effect on plasma lipids: it makes cholesterol carrying particles to accumulate in the blood vessels, causing atherosclerosis. We intend to investigate how diabetes modify these particles making them atherogenic.
An Integrated Approach To Identify The Molecular Mechanisms Contributing To The Pathogenesis Of Insulin Resistance: Targeting The Liver And Skeletal Muscle
Funder
National Health and Medical Research Council
Funding Amount
$415,218.00
Summary
The inability of muscle and liver to utilise sugar from the blood is a major problem that contributes to the development of obesity and diabetes. How these problems occur is unknown. The goal of my research is to identify what causes the muscle and liver problem, and whether fixing these problems will reduce obesity and diabetes. Since the number of people with obesity and diabetes is predicted to double over the next decade, we need to understand the cause of these diseases.
Central Neural Regulation Of Brown Fat Function – Glucose Sensing And CNS Pathways
Funder
National Health and Medical Research Council
Funding Amount
$761,942.00
Summary
Our research aims to identify how specific brain cells detect changes in glucose levels and how ageing and diet affect their function. We identified a subset of nerve cells that detect changes in glucose and the “hunger” hormone ghrelin, their ability to do so adapting with age and nutritional status. This project will investigate the potential of these nerve cells as targets for therapeutic and diet- intervention strategies to target obesity, diabetes and promote healthy ageing.
SGLT2 inhibitors are new glucose-lowering agents for type 2 diabetes. They promote glucose loss into urine, which lowers blood glucose levels. However, little is known regarding the changes to kidney physiology when this system is manipulated with these drugs. There is evidence that SGLT2 inhibitors do not protect against kidney disease in diabetic mice, despite being an effective blood glucose-lowering agent. I aim to characterise the changes to kidney function upon SGLT2 blockade in diabetes.
Biology Of EGFR Mutations In Glioblastoma Multiforme
Funder
National Health and Medical Research Council
Funding Amount
$287,445.00
Summary
The epidermal growth factor receptor (EGFR) is a protein that has a critical role in the development of normal cells. In glioma, the most lethal of the brain cancers, the EGFR is altered. These alterations result in uncontrolled activation of the EGFR, causing signals that promote the growth and survival of brain cancer. This grant seeks to understand the nature of the signals mediated by the altered EGFR, in turn helping us develop better therapeutics for the treatment of this deadly cancer.
Early Career Industry Fellowships - Grant ID: IE230100441
Funder
Australian Research Council
Funding Amount
$474,443.00
Summary
Sounds of change: using ecological knowledge to advance acoustic monitoring. To recover biodiversity, conservation actions must be informed by robust ecological data. In partnership with Bush Heritage Australia, this project aims to transform ecological monitoring with eco-acoustic technologies by developing new acoustic metrics to measure biodiversity at various levels, from individual species through to whole communities. This project will combine advanced computer methods with theories of ani ....Sounds of change: using ecological knowledge to advance acoustic monitoring. To recover biodiversity, conservation actions must be informed by robust ecological data. In partnership with Bush Heritage Australia, this project aims to transform ecological monitoring with eco-acoustic technologies by developing new acoustic metrics to measure biodiversity at various levels, from individual species through to whole communities. This project will combine advanced computer methods with theories of animal sounds and communities to generate metrics that are informed by animal ecology and directly address monitoring needs of conservation organisations. By experimentally testing the metrics on long-duration real-world sound data, this project will provide new tools to measure conservation impact and prioritise actions.Read moreRead less
Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cann ....Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cannot deal with varied sources of uncertainty. Expected outcomes and benefits include a fine-scale vegetation classification and map for almost a million square kilometres, and associated analytical tools and guidelines for large-scale vegetation classification and global mapping.Read moreRead less
Understanding The Acute And Cumulative Metabolic Effects Of Prolonged Sitting In Adults
Funder
National Health and Medical Research Council
Funding Amount
$416,597.00
Summary
Sedentary behaviour (sitting time) has been linked to an increased risk of chronic illnesses, including type 2 diabetes and obesity, but recent evidence suggests that light-intensity activity (non-exercise activities of daily living) is associated with reduced risk. These studies will examine whether breaking up sitting time with frequent short periods of activity can overcome the negative effects of prolonged sitting on blood glucose and blood fats in overweight older adults.
A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. ....A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. This project will present a method to develop models for these biases. A state update technique, the Ensemble Kalman Filter, will be adapted to correctly take into account bias in the merging of the two data sources. The project outcomes will be of high importance for long-term environmental studies, since these strongly rely on physically-based models and remote sensing data.Read moreRead less