Proteomic analysis of urinary extracellular vesicles reveal biomarkers for neurologic disease.

ABSTRACT:

Background

Extracellular vesicles (EVs) harbor thousands of proteins that hold promise for biomarker development. Usually difficult to purify, EVs in urine are relatively easily obtained and have demonstrated efficacy for kidney disease prediction. Herein, we further characterize the proteome of urinary EVs to explore the potential for biomarkers unrelated to kidney dysfunction, focusing on Parkinson's disease (PD).

Methods

Using a quantitative mass spectrometry approach, we measured urinary EV proteins from a discovery cohort of 50 subjects. EVs in urine were classified into subgroups and EV proteins were ranked by abundance and variability over time. Enriched pathways and ontologies in stable EV proteins were identified and proteins that predict PD were further measured in

SUBMITTER: Wang S 

PROVIDER: S-EPMC6642358 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature