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Small Extracellular Vesicles in Neurodegenerative Disease: Emerging Roles in Pathogenesis, Biomarker Discovery, and
Mousumi Ghosh1,2,3, Amir-Hossein Bayat1, Damien D Pearse1,2,3,4
1The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
International Journal of Molecular Sciences
|August 14, 2025
Summary
Small extracellular vesicles (sEVs) are key players in neurodegenerative diseases (NDDs), mediating intercellular signaling and spreading toxic proteins. They show promise as diagnostic biomarkers and therapeutic delivery vehicles for NDDs.
Area of Science:
- Neuroscience
- Biotechnology
- Cell Biology
Background:
- Neurodegenerative diseases (NDDs) present a significant global health challenge.
- Small extracellular vesicles (sEVs) are emerging as critical mediators in NDD pathogenesis.
- sEVs facilitate the intercellular transfer of pathological proteins and nucleic acids implicated in NDDs.
Purpose of the Study:
- To review the mechanistic roles of sEVs in neurodegenerative diseases.
- To explore the diagnostic potential of sEVs for early detection and monitoring of NDDs.
- To discuss the therapeutic applications of sEVs in NDD treatment and CNS-targeted delivery.
Main Methods:
- Literature review of recent studies on sEVs in Alzheimer's, Parkinson's, ALS, and Huntington's disease.
- Analysis of sEVs' role in intercellular communication and pathological protein propagation.
- Evaluation of sEV-based diagnostic strategies and therapeutic delivery systems.
Main Results:
- sEVs carry and spread key NDD-associated proteins (Aβ, tau, TDP-43, α-synuclein).
- sEVs demonstrate superior diagnostic potential compared to traditional biomarkers for NDDs.
- Engineered sEVs show efficacy in preclinical models for CNS-targeted delivery of therapeutics.
Conclusions:
- sEVs are pivotal in NDD progression, offering significant diagnostic and therapeutic opportunities.
- Standardization, scalability, and regulatory harmonization are crucial for clinical translation of sEVs.
- Emerging technologies like CRISPR barcoding and AI analytics are addressing translational challenges for sEVs in NDDs.

