A NOVEL MOUSE MODEL TO INVESTIGATE THE MECHANISMS OF VIRUS-INDUCED ARTHRITIS
Funder
National Health and Medical Research Council
Funding Amount
$336,000.00
Summary
We have developed a novel animal model by which to study arthritic disease caused by insect-transmitted viruses known as arboviruses. The existence of this model and novel reagents provides an excellent opportunity to further explore the basic mechanisms of infectious disease in a complete functioning animal, rather than specific cultured cells. The study will use modern approaches in molecular and cellular biology to achieve this goal. The production by our immune systems of soluble mediators ( ....We have developed a novel animal model by which to study arthritic disease caused by insect-transmitted viruses known as arboviruses. The existence of this model and novel reagents provides an excellent opportunity to further explore the basic mechanisms of infectious disease in a complete functioning animal, rather than specific cultured cells. The study will use modern approaches in molecular and cellular biology to achieve this goal. The production by our immune systems of soluble mediators (cytokines-chemokines) and antibodies is an overwhelming positive aspect of our physiological response to infection by microbes. Protection from disease by these immune compounds can happen naturally, or the body's ability to produce these factors can be exploited to our benefit via the administration of vaccines. However, these factors can also be detrimental to the host contributing to severe disease. For instance, work performed almost 40 years ago showed for the first time that under particular conditions, antibodies against viruses can enhance infection, instead of inhibiting infection as normally seen. In the intervening years work by scientists all over the world has associated antibody-dependent enhancement (ADE) of infection to many types of viruses; ADE is even thought to be a risk factor to serious disease with dengue virus, and has been shown in vitro for the AIDS virus and Ebola virus. We have recently discovered a molecular mechanism which explains how antibody enhances viral infection in vitro. In studies on immune cells infected with Ross River Virus (RRV) we found that infection helped by antibody resulted in the specific disruption to the production of cellular chemicals which are toxic to viruses. Are these mechanisms of antibody-enhanced infection also found in animals? Will such mode of infection cause enhanced disease and tissue pathology (arthritis) in animals?Read moreRead less
Assessment Of Interventions For Controlling Pandemic Influenza And Determining Data Needs To Inform These Assessments
Funder
National Health and Medical Research Council
Funding Amount
$183,040.00
Summary
The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at ri ....The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at risk of being infected. We will compare these control measures by taking due account of the ability and resources available for these interventions, and with regard to the need to maintain essential services. The comparisons will be made using mathematical models that describe the transmission of the infection. All available data and advice from experts will be used to ensure that realistic models are used for the comparisons. We will also use the models to determine the best use of the limited antiviral drugs available, until a vaccine becomes available. We will consider how the control strategy should be changed if a strain develops that is resistant to the antiviral drugs. In addition, we will determine what data need to be collected during the early stages of a pandemic to help us to determine the best use of the antiviral drugs, the best use of a new vaccine and to check on the development of resistance to the antiviral drugs.Read moreRead less
The Role Of Capsid Protein Nucleolar Localisation In Chikungunya Virus: Implications For Vaccine Development
Funder
National Health and Medical Research Council
Funding Amount
$520,520.00
Summary
Chikungunya virus (CHIKV) is a globally widespread mosquito-borne alphavirus capable of causing considerable human morbidity and mortality. With no CHIKV vaccine or antiviral available this proposal aims to develop a live attenuated CHIKV vaccine, rationally designed by investigating the host cell nucleolar trafficking of CHIKV capsid protein. This vaccine has the potential to provide cross-protection against additional arthritogenic alphaviruses endemic to Australia such as Ross River virus.
Arbovirus Activation And Modulation Of NLRP3 Inflammasome
Funder
National Health and Medical Research Council
Funding Amount
$779,720.00
Summary
This project aims to establish how mosquito borne viruses such as Ross River and dengue viruses interacts with the human host to cause disease, including how the virus evades the host’s immune response to persist and cause disease for prolonged periods. Knowing how differences in the virus and the host’s immune system interplay to cause asymptomatic to severely disabling disease will assist in devising new treatments and prevention programs to lessen the impact of these diseases in Australia.
Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
Novel Insights Into The Mechanisms Of How Viruses Cause Arthritis/Arthralgia
Funder
National Health and Medical Research Council
Funding Amount
$78,187.00
Summary
Viruses cause many diseases today and new viruses emerge to post threats to future health and well being. The proposed work investigates how viruses cause disease in people, particularly how viral infections can lead to arthritis or muscle pain. This understanding will be used in the development of new prevention strategies and treatments.
Lightweight security solutions for wearable healthcare sensor devices. The aim of this project is to develop new methods to secure the data and context associated with body-wearable health monitoring devices. The novelty of the scheme is in making the methods work on resource-poor devices, by combining new security capabilities derived from the operating environment with conventional cryptographic techniques. This project aims to increase the trust that medical practitioners and insurance provid ....Lightweight security solutions for wearable healthcare sensor devices. The aim of this project is to develop new methods to secure the data and context associated with body-wearable health monitoring devices. The novelty of the scheme is in making the methods work on resource-poor devices, by combining new security capabilities derived from the operating environment with conventional cryptographic techniques. This project aims to increase the trust that medical practitioners and insurance providers can place on health data from wearable devices, and showcase Australian innovation in developing world-class security solutions. The outcome of this project is expected to be the development and demonstration of ultra-lightweight algorithms and mechanisms that execute in wearable devices to safeguard the integrity of the data.Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Extending fuzzy logic. Fuzzy logic is good for dealing with uncertain data somewhat like people do, and this technique has been used in train braking systems, computer animation etc, but can be slow for problems with large or complex data especially if the data are changing with time. The project will design efficient fuzzy logic algorithms capable of dealing with complex real world problems.
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less