Improving diagnostic accuracy and treatment options for equine PPID. Equine Pituitary Pars Intermedia Dysfunction (PPID) is a common, chronic and potentially life-threatening disease of older horses and ponies. Although a treatment is available, the disease is poorly understood and there are some concerns that the current diagnostic technology is not delivering accurate results. Thus, this project aims to develop a more accurate diagnostic test for PPID, while exploring the relationship between ....Improving diagnostic accuracy and treatment options for equine PPID. Equine Pituitary Pars Intermedia Dysfunction (PPID) is a common, chronic and potentially life-threatening disease of older horses and ponies. Although a treatment is available, the disease is poorly understood and there are some concerns that the current diagnostic technology is not delivering accurate results. Thus, this project aims to develop a more accurate diagnostic test for PPID, while exploring the relationship between PPID and metabolic syndrome, to generate new insights into the cause and consequences of both diseases. As an added benefit, the project will assist horseracing laboratories to improve their detection methods for peptide doping in younger competition horses.
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Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnost ....Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnostic test capable of detecting known, emerging and novel parasitic, bacterial and viral VBD pathogens simultaneously, from clinical samples. The assay will represent a potential paradigm shift in the way VBD are tested, for the purpose of safeguarding Australia against VBD bio-incursions.Read moreRead less
Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artif ....Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artificial intelligence technology developed in Tasmania. This integrated wildlife health intelligence and scalable vaccine platform can help protect the iconic Tasmanian devil from disease and increase Australia's preparedness for looming threats to the livestock industry such as African swine fever.Read moreRead less
Chemo-prevention of tropical canine parasitoses and vector-borne diseases. This project will determine the prevalence and diversity of established, emerging and novel canine vector-borne agents and endoparasites in a tropical setting by using conventional and next generation molecular diagnostic tools. It will fill an important gap by providing independently-verified evidence on how well canine anti-parasitic products marketed in Australia and Asia by Bayer Animal Health, perform in high-infecti ....Chemo-prevention of tropical canine parasitoses and vector-borne diseases. This project will determine the prevalence and diversity of established, emerging and novel canine vector-borne agents and endoparasites in a tropical setting by using conventional and next generation molecular diagnostic tools. It will fill an important gap by providing independently-verified evidence on how well canine anti-parasitic products marketed in Australia and Asia by Bayer Animal Health, perform in high-infection pressure settings, as a chemo-preventative for these disease agents. Tropical regions spanning northern Australia and Southern Asia are highly conducive to a plethora of canine vector-borne and parasitic pathogens that cause significant morbidity and mortality in dogs. Many of these agents also pose a risk to public health. The outcomes will be directly translated to best-practice guidelines for the advancement of companion animal (and indirectly human) health and welfare.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100026
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science:
The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for researc ....VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science:
The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for research on disease distribution and determinants, and surveillance and diagnostics that underpin evidence-based practice. The expected outcomes include identification of the most prevalent disorders and their causes and optimal treatments. The data may also revolutionise clinical auditing in Australia, help the veterinary profession to rank research priorities, and inform companion animal and equine curricula in our universities.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH150100028
Funder
Australian Research Council
Funding Amount
$3,708,510.00
Summary
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu ....ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.Read moreRead less
Development of a new diet to improve insulin sensitivity and manage weight in healthy cats. This project will determine if a low carbohydrate, moderate fat, high protein diet improves insulin sensitivity and reduces weight gain in cats compared to a typical high-carbohydrate grocery line diet. It will identify risk factors for weight gain such as increased fasting insulin concentration and will also determine which simple assessment of insulin sensitivity best correlates with insulin sensitivity ....Development of a new diet to improve insulin sensitivity and manage weight in healthy cats. This project will determine if a low carbohydrate, moderate fat, high protein diet improves insulin sensitivity and reduces weight gain in cats compared to a typical high-carbohydrate grocery line diet. It will identify risk factors for weight gain such as increased fasting insulin concentration and will also determine which simple assessment of insulin sensitivity best correlates with insulin sensitivity measured by a gold standard. This project should lead to the formulation of a diet designed to improve insulin sensitivity and minimize weight gain in cats, and allow for earlier identification of cats at risk of obesity.Read moreRead less
Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less
The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occ ....The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occurrence and distribution of their microbial species across all NSW dairy regions. This will enable the Australian dairy industry to improve animal health and productivity, and diagnostic capacity, which will allow farmers to make informed management decisions about disease control strategies. Read moreRead less
Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the ret ....Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the retina and how it relates to brain inflammation. This should provide significant downstream benefits for the detection of inflammatory brain disease well before visible symptoms develop with substantial benefit for livestock, pets, zoo and conservation animals, as well as research knowledge. Read moreRead less