Sequential- vs. density gradient-centrifugation for the isolation of mitochondria-containing extracellular vesicles.

Authors

Kandarp M Dave, Bodhi T Brady, Balaji Govindaswamy, Vivek S Basudkar, Donna B Stolz, Devika S Manickam

Published in

RSC pharmaceutics. Jul 16, 2026. Epub Jul 16, 2026.

Abstract

A subset of extracellular vehicles (EVs) with particle diameters >200 nm, large vesicles (lEVs), contain mitochondria that increase recipient cell bioenergetics. To date, sequential centrifugation (SC) is the most reported protocol to separate lEVs from the smaller EVs (<200 nm)/exosomes. We have previously demonstrated that lEVs derived from brain endothelial cells (BECs) using the standard SC method transfer their innate mitochondria to recipient BECs, increase recipient BEC bioenergetics, reduce brain infarct volume, and improve sensorimotor functions in a mouse model of transient ischemic stroke. Despite their promising therapeutic activity, SC-isolated lEVs are likely a mixture of mitochondria-containing lEVs and non-mitochondria-containing lEVs. We hypothesized that subsequent purification of SC-isolated lEVs using density-gradient centrifugation (DGC) may yield a purer sample of mitochondria-containing lEVs. We established a DGC protocol to purify lEVs. In this pilot study, lEVs isolated using SC and DGC protocols were compared to determine their physicochemical characteristics and their effects on recipient BEC bioenergetics. SC-lEVs and DGC-lEVs both significantly restored ATP levels in OGD-injured BECs with no difference between groups. However, a Seahorse mitochondrial function assay revealed distinct functional effects: SC-lEVs did not significantly alter respiration, whereas DGC-lEVs induced a dose-dependent increase in oxygen consumption rate, indicating enhanced oxidative phosphorylation. These findings demonstrate that DGC purification yields a more mitochondria-enriched and functionally potent lEV preparation with an enhanced capacity to restore oxidative phosphorylation in post-ischemic BECs.

PMID:
42516697
Bibliographic data and abstract were imported from PubMed on 28 Jul 2026.

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