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High-Throughput CSF Proteomics and Machine Learning to Identify Proteomic Signatures for Parkinson Disease Development and Progression

16 Aug 2023

Abstract excerpt

Background and Objectives This study aimed to identify CSF proteomic signatures characteristic of Parkinson disease (PD) and evaluate their clinical utility. Methods This observational study used data from the Parkinson9s Progression Markers Initiative (PPMI), which enrolled patients with PD, healthy controls (HCs), and non-PD participants carrying GBA1, LRRK2, and/or SNCA pathogenic variants (genetic prodromals)...

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PMID: 37586882
DOI: 10.1212/wnl.0000000000207725

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