Plasma acellular transcriptome contains Parkinson disease signatures that can inform clinical diagnosis DOI Creative Commons
Aleksandra Beric, Alejandro Cisterna‐García, Charissa Martin

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 18, 2024

ABSTRACT We aimed to identify plasma cell-free transcripts (cfRNA) associated with Parkinson’s disease (PD) that also have a high predictive value differentiate PD from healthy controls. Leveraging two independent populations different movement disorder centers we identified 2,188 differentially expressed cfRNAs after meta-analysis. The were enriched in relevant pathways, such as (p=9.26×10 -4 ), ubiquitin-mediated proteolysis (p=7.41×10 -5 ) and endocytosis (p=4.21×10 -6 ). Utilizing in-house publicly available brain, whole blood, acellular transcriptomic proteomic datasets, found significant overlap across dysregulated biological species the tissues layers. developed three models containing increasing number of can distinguish control an area under ROC Curve (AUC) ≥0.85. Finally, showed several significantly correlate symptom severity measured by UPDRS-III. Overall, demonstrated cfRNA contains pathological signatures has potential be utilized biomarker aid diagnostics monitoring.

Language: Английский

Plasma acellular transcriptome contains Parkinson disease signatures that can inform clinical diagnosis DOI Creative Commons
Aleksandra Beric, Alejandro Cisterna‐García, Charissa Martin

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 18, 2024

ABSTRACT We aimed to identify plasma cell-free transcripts (cfRNA) associated with Parkinson’s disease (PD) that also have a high predictive value differentiate PD from healthy controls. Leveraging two independent populations different movement disorder centers we identified 2,188 differentially expressed cfRNAs after meta-analysis. The were enriched in relevant pathways, such as (p=9.26×10 -4 ), ubiquitin-mediated proteolysis (p=7.41×10 -5 ) and endocytosis (p=4.21×10 -6 ). Utilizing in-house publicly available brain, whole blood, acellular transcriptomic proteomic datasets, found significant overlap across dysregulated biological species the tissues layers. developed three models containing increasing number of can distinguish control an area under ROC Curve (AUC) ≥0.85. Finally, showed several significantly correlate symptom severity measured by UPDRS-III. Overall, demonstrated cfRNA contains pathological signatures has potential be utilized biomarker aid diagnostics monitoring.

Language: Английский

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