Discovery of a preliminary urinary metabolite panel for Parkinson’s disease: a pilot study using paired patient-spouse samples and machine learning consensus - Scorecard - MDSpire
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Discovery of a preliminary urinary metabolite panel for Parkinson’s disease: a pilot study using paired patient-spouse samples and machine learning consensus
Clinical Scorecard: Identification of an Initial Urinary Metabolite Profile for Parkinson’s Disease: A Pilot Investigation Utilizing Paired Samples from Patients and Their Spouses with Machine Learning Techniques
At a Glance
Category
Detail
Condition
Parkinson's Disease
Key Mechanisms
Urinary metabolomics for biomarker discovery
Target Population
Patients with Parkinson's Disease and their healthy spouses
Care Setting
First Affiliated Hospital of Guangxi University of Science and Technology, Liuzhou, China
Key Highlights
Pilot study utilizing matched-pair cohort design
Five-metabolite panel identified with promising discriminative performance (AUC > 0.95)
Focus on non-invasive urinary biomarkers for Parkinson's Disease
Study emphasizes the need for future validation in larger cohorts
Exploratory nature of findings with no validated diagnostic tool established
Guideline-Based Recommendations
Diagnosis
Clinical diagnosis according to the Movement Disorder Society (MDS) Clinical Diagnostic Criteria for Parkinson’s Disease (2015)
Management
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Patients clinically diagnosed with Parkinson's Disease and their healthy spouses
No drug washout performed; samples collected before first daily medication
Clinical Best Practices
Utilize matched-pair design to control for environmental and lifestyle factors
Employ untargeted LC–MS metabolomics for comprehensive metabolite profiling
Ensure ethical approval and informed consent for participant involvement
