Article

Machine learning analysis of population-wide plasma proteins identifies hormonal biomarkers of Parkinson’s Disease

2024-12-24

Abstract excerpt

As the number of Parkinson’s patients is expected to increase with the growth of the aging population there is a growing need to identify new diagnostic markers that can be used cheaply and routinely to monitor the population, stratify patients towards treatment paths and provide new therapeutic leads. Genetic predisposition and familial forms account for only around 10% of PD cases [1] leaving a large fraction of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 450d1d88-f0e8-51f2-88dc-32cf6050d0c3
DOI: 10.1101/2024.12.21.24313256

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning analysis of population-wide plasma proteins identifies hormonal biomarkers of Parkinson’s DiseaseDOI 10.1101/2024.12.21.24313256Read

Proteome profiling of cerebrospinal fluid reveals biomarker candidates for Parkinson’s diseaseSemantic proximity Read

Proteogenomic network analysis reveals dysregulated mechanisms and potential mediators in Parkinson’s diseaseSemantic proximity Read

Changes in the cerebrospinal fluid proteome precede and stratify the course of Parkinson’s DiseaseSemantic proximity Read

Plasma Proteomics for Parkinson’s Disease: Diagnostic Classification, Severity Association, and Therapeutic HypothesesSemantic proximity Read

Characterization of Parkinson’s disease using blood-based biomarkers: A multicohort proteomic analysisSemantic proximity Read

Identification of a novel proteomic Biomarker in Parkinson’s Disease: Discovery and Replication in Blood, brain and CSFSemantic proximity Read

Integrating plasma circulating protein-centered multi-omics to identify potential therapeutic targets for Parkinsonian cognitive disordersSemantic proximity Read

Orthogonal validation of PD Biomarkers: Multi-platform proteomics profiling of CSF, Plasma, and Urine confirms DDC as a consistent candidateSemantic proximity Read

Proteomic and genetic insights into ancestry-specific associations in Parkinson’s diseaseSemantic proximity Read

Early Parkinson’s Revealed by Unlocking Longitudinal Omics at Population ScaleSemantic proximity Read

Urinary proteome profiling for stratifying patients with familial Parkinson’s diseaseSemantic proximity Read

Identification of circulatory neuro-related proteins in Parkinson's disease: an integrated genetic-proteomic-clinical study.Semantic proximity Read