Journal of Clinical and Translational Science (Apr 2023)
369 Differentiating Dementia with Lewy Bodies and Alzheimer’s Disease Using Extracellular Vesicles
Abstract
OBJECTIVES/GOALS: Extracellular vesicles (EVs) in biofluids can reflect pathology in the brain (like alpha-synuclein protein linked to Dementia with Lewy Bodies) making them attractive disease biomarkers to distinguish disease. Here, we will investigate their potential as non-invasive biomarkers to differentiate Dementia with Lewy Bodies & Alzheimer's Disease. METHODS/STUDY POPULATION: We will leverage the collection of antemortem plasma from autopsy confirmed Dementia with Lewy Bodies (DLB), Alzheimer's Disease (AD) & healthy controls (HC) through the Mayo Clinic Brain Bank. We will characterize antemortem brain-derived plasma EVs (bPEVs) & post-mortem brain-derived EVs (bEVs) of the same patient using nanoparticle tracking, electron microscopy, & western blotting for EV-associated proteins. We will then measure levels of total & phosphorylated alpha-synuclein (asyn) using AlphaLisa. We will assess EVs' ability to initiate asyn aggregation using a real-time quaking-induced conversion (RT-QuIC) assay & a cell-based Fluorescence Resonance Energy Transfer (FRET) assay. Once characterized, this will allow differentiation of bpEVs in DLB, AD, or healthy controls. RESULTS/ANTICIPATED RESULTS: We hypothesize that asyn levels and seeding capacity will discriminate DLB from AD. With AlphaLisa assay, we expect higher total and phosphorylated asyn levels in DLB bpEVs and their corresponding post-mortem bEVs. Using RT-QuIC and FRET assay, we expect EVs isolated from DLB patient samples to support seeded aggregation, whereas EVs from AD and HC will not. DISCUSSION/SIGNIFICANCE: To date, no diagnostic or less invasive biomarkers can distinguish DLB from AD. The successful completion of the aims outlined in this proposal will identify characteristics of bpEVs that differentiate DLB from AD or HC and support the development of bpEVs as a non-invasive, early biomarker to diagnose patients presenting with dementia from DLB.