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Peer-reviewed veterinary case report

How to isolate pure extracellular vesicles from plasma by removing

By Jeon S et al.·2026·Department of Micro-Nanosystem Technology, South Korea·View original on Europe PMC

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Original publication title: Selective Lipoprotein Removal Enables High-Purity EV Isolation from Plasma via Aptamer-Based Mesh Filtration.

Plain-English summary

Researchers have developed a new method called ApoFilter to help isolate tiny particles called extracellular vesicles (EVs) from blood plasma. These EVs are important for various studies, but they are often mixed with lipoproteins, which can make it hard to get pure samples. The ApoFilter uses special molecules to quickly remove over 99% of these lipoproteins without affecting the EVs themselves. This new approach works well with existing methods for isolating EVs and could greatly improve research by providing cleaner samples for further testing. Overall, the treatment effectively addresses a significant challenge in EV research.

Abstract

Lipoproteins pose a major challenge to plasma extracellular vesicle (EV) isolation due to their abundance and physical similarity to EVs. Here, we present ApoFilter, a rapid and selective aptamer-based mesh-filtration platform that efficiently depletes ApoA1- and ApoB100-positive lipoproteins. High-affinity aptamers immobilized onto nylon mesh layers capture targeted lipoproteins in a spin-column format, enabling rapid (1 min) separation under gravity-driven flow. ApoFilter removed >99% of targeted lipoproteins (HDL and (V)LDL) from purified and plasma samples, with negligible capture of non-target components and no compromise to EV integrity. When integrated with conventional EV isolation methods-including ultracentrifugation (UC), size-exclusion chromatography (SEC), and ExoTFF-ApoFilter consistently eliminated lipoprotein contaminants across all workflows. This simple and rapid system addresses a key bottleneck in EV research, enabling the collection of ultrapure EVs suitable for downstream molecular analyses and translational applications.

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Original publication on Europe PMC: https://europepmc.org/article/MED/41773457