Metabolomic breath landscape analysis unravels lipid biomarker candidates in patients with monogenic and idiopathic Parkinson’s disease

Abstract excerpt

<h4>ABSTRACT</h4> Parkinson’s disease (PD) is the fastest growing neurodegenerative disorder. Lack of efficient early diagnostic tools highlights the critical necessity for novel approaches in biomarker discovery. We propose an untargeted metabolomics approach using non-invasive exhaled breath analysis. Breath samples, collected from 73 PD patients, encompassing both genetic ( LRRK2 n=12, GBA1 n=35, PRKN n=6) and...

Topics

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• Bile Acids and Salts
• Cerebrospinal Fluid
• Chromatography, Liquid
• Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
• Lysosomal Storage Disorders Research
• Machine Learning
• Metabolome
• Parkinson's Disease Mechanisms and Treatments

Identifiers and source

Literature Corpus work

e7f4cb42-4255-5580-97c9-32838153b403

DOI

10.1101/2025.04.17.25326025