ePoster

HUMAN NEURONAL DERIVED EXTRACELLULAR VESICLES IN SUBSTANCE USE DISORDERS

Anna Muttiand 4 co-authors

Medical University of Innsbruck

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS02-07PM-202

Presentation

Date TBA

Board: PS02-07PM-202

Poster preview

HUMAN NEURONAL DERIVED EXTRACELLULAR VESICLES IN SUBSTANCE USE DISORDERS poster preview

Event Information

Poster Board

PS02-07PM-202

Abstract

Substance use disorders are associated with long-lasting neuronal alterations that underlie compulsive drug seeking and relapse; however, accessible biomarkers reflecting brain-specific molecular changes in living patients remain scarce. Neuron-derived extracellular vesicles (NDEVs) isolated from peripheral blood samples provide a minimally invasive approach to studying brain-related changes, as they cross the blood–brain barrier and carry molecular cargo reflective of their cell of origin. Enrichment of NDEVs using immunoprecipitation against the neuronal marker L1CAM, among others, enables the analysis of neuron-specific extracellular vesicles.
In this study, we isolated L1CAM-positive NDEVs from the plasma of individuals with cocaine or alcohol use disorder. Since all patients presented concomitant nicotine use, we included two control groups: healthy smoking individuals and healthy non-smoking individuals. Using proteomic profiling, we compared neuronal protein cargo across groups to identify substance-specific and shared molecular alterations associated with chronic drug exposure, while controlling for the effects of nicotine use.
Our results reveal distinct and overlapping NDEV proteomic signatures in cocaine and alcohol addiction, involving proteins linked to synaptic function, cellular stress, and neuroinflammation. Notably, comparisons with healthy smokers and non-smokers allowed us to disentangle addiction-related neuronal changes from those attributable to nicotine exposure.
These findings demonstrate that NDEV proteomics can capture drug-specific neuronal molecular signatures from peripheral blood and highlight its potential as a translational tool for biomarker discovery in addiction research.

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