This project will develop new and highly precise predictive classifiers for early diagnosis and detection of Parkinson’s disease based on complex microbial signatures which will inform diagnosis, staging and classification of Parkinson’s disease patients in the clinic.

Research Objectives

Status

Current

Recruitment

Closed

Study location

Wesley Research Institute, Wesley Research Institute, Queensland University of Technology

Study type

Investigator Initiated

    Lead investigator    
            A/Prof John O’Sullivan        

        Experienced investigator		
				Dr Richard Gordon (QUT)			

About this research project

It’s estimated that one in every 1,000 Australians have Parkinson’s disease with approximately 40 people diagnosed everyday. The number of people diagnosed with Parkinson’s disease has increased 17% in the last six years with costs to the community increasing by nearly 50%. It’s the second most common neurodegenerative disease after dementia in Australia.

There are currently no effective biomarkers to accurately diagnose Parkinson’s disease or predict disease progression. Pathological changes in the gut microbiota composition and metabolism occurs early in Parkinson’s disease which drives neuropathology and disease progression. Understanding and characterising the complex changes in gut microbiome composition will provide new opportunities for therapeutic targets and diagnostic biomarkers.

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Neurology

Parkinson’s Disease: developing highly precise predictive classifiers for early diagnosis and detection