Parkinson's Disease Breath Metabolomics with 342 Participants

342 participants, including 103 Parkinson's disease patients and 239 healthy controls, were analyzed using secondary electrospray ionization high-resolution mass spectrometry. Wenbiao Xian published this proof-of-concept study on figshare in May 2026. The data includes metabolic features used to develop an exhaled metabolic score correlated with PET imaging abnormalities.

Use Cases

• Training classifiers for Parkinson's disease diagnosis based on breath metabolic features
• Identifying lipid and amino acid metabolite biomarkers for neurodegenerative disorders
• Correlating noninvasive breath scores with invasive imaging results like PET scans
• Developing rapid screening tools for neurological disease monitoring

Strengths

• Includes data from two independent cohorts totaling 342 participants
• Diagnostic model achieved an AUC of 0.805 in independent validation
• Exhaled metabolic score was significantly correlated with PET imaging results (P = 0.049)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect cohort bias inherent to the proof-of-concept study design

Provenance

Source

figshare

Collection Method

Real-time breath analysis using secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS)

Freshness

Last updated 2026-05-18 04:29:20