Cell Type-Specific Extracellular Vesicles in Mouse Brain: Proteomic Signatures Highlight Astrocytic GlialCAM Network and GPCR Enrichment.

Authors

Alba M Lucart-Sanchez, Edward Sellés-Climent, Jorge Navarro-Calvo, Guillem Pont-Espinós, Jose A Gomez-Sanchez, Raúl Estévez, Luis M Valor, Rocío Pérez-González

Published in

Glia. Volume 74. Issue 10. Pages e70212.

Abstract

Extracellular vesicles (EVs) mediate intercellular communication in the central nervous system (CNS) and are emerging as biomarkers of brain health and disease. However, the molecular composition of cell type-specific brain EVs, particularly astrocyte-derived EVs (ADEVs), remains poorly defined. We performed comparative proteomic analysis of neuronal (NDEVs), microglial (MDEVs), and ADEVs from mouse brain using magnetic immunocapture and LC-MS/MS proteomic profiling. Each EV subtype displayed distinct molecular fingerprints. NDEVs were enriched in synaptic and neurogenesis-related proteins (e.g., APP, SNAP25, GPR158, and BDNF), whereas MDEVs contained immune and phagocytic markers (e.g., TMEM119, CX3CR1, CD11b). Strikingly, the ADEV proteome closely mirrored the recently characterized GlialCAM interactome from leukodystrophy research, encompassing GlialCAM/MLC1 and associated partners involved in ion and water homeostasis (EAAT1/2, AQP4, GJA1), together with GPCRs such as GPRC5B. This overlap suggests that ADEVs encapsulate a molecular scaffold characteristic of astrocytic endfeet, potentially extending their signaling functions to the extracellular space. In conclusion, our study provides a detailed comparative proteomic characterization of brain cell type-specific EVs, revealing that ADEVs contain the GlialCAM/MLC1 network and GPCRs. These findings identify candidate molecular signatures that support the future investigation of ADEVs for biomarker development and provide a proteomic framework for exploring their relationship with astrocytic endfoot biology, blood-brain barrier (BBB)-associated pathways, and neurodegenerative disorders.

PMID:
42627292
Bibliographic data and abstract were imported from PubMed on 21 Aug 2026.

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