ePoster

PLASMA EXTRACELLULAR VESICLES ACROSS AGEING IN APOE4 MICE: A MULTI-TECHNIQUE CHARACTERIZATION WORKFLOW

Raquel Gabaldón-Díazand 7 co-authors

Universitat Rovira i Virgili

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS04-08PM-054

Presentation

Date TBA

Board: PS04-08PM-054

Poster preview

PLASMA EXTRACELLULAR VESICLES ACROSS AGEING IN APOE4 MICE: A MULTI-TECHNIQUE CHARACTERIZATION WORKFLOW poster preview

Event Information

Poster Board

PS04-08PM-054

Abstract

Ageing is a major risk factor for cognitive decline and neurodegeneration, a vulnerability further exacerbated by genetic determinants such as the APOE ε4 allele. Plasma-derived extracellular vesicles (EVs) act as key mediators of intercellular communication and are emerging as accessible biomarkers that reflect both systemic and brain-related processes linked to neurodegeneration. In this study, we have established a standardized workflow for plasma EV isolation and multi-technique characterization to enhance methodological consistency in EV profiling and to determine whether EV profiles are modulated by age and sex in ApoE4 transgenic mice at 6 and 14 months of age. Plasma-derived EVs were isolated by size-exclusion chromatography, pooled, and concentrated. EV concentration and size distribution were quantified using nanoparticle tracking analysis (NTA) while flow cytometry was used to detect EV markers CD9 and CD81 in the isolated particles. Finally, transmission electron microscopy (TEM) confirmed the presence of vesicular structures. All procedures and reporting were performed in accordance with the ISEV MISEV2023 guidelines and recommendations. Particles isolated from plasma showed characteristics consistent with EVs, including concentrations and size distributions within the expected range. The detection of CD9+ and CD81+ markers, along with TEM analysis revealing typical vesicular morphology, confirmed their identity. Preliminary differences suggest that plasma-derived EV parameters could be explored as candidate biomarkers of ageing- and sex-associated changes. Based on these findings, future work will focus on EV cargo profiling to uncover molecular biomarkers linked to ageing, cognitive decline and sex.

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