Hydrophobic interaction chromatography resolves extracellular vesicle fractions with distinct lipidomic signatures

M Michał Młynarczyk W Wiktoria Więckowska M Mariusz Belka R Raphael Ewonde Ewonde J Jagoda Mantej M Mikołaj Klimczuk F Felicja Gajdowska J Jorge Matinha-Cardoso P Paula Tamagnini D Danuta Gutowska-Owsiak P Paulo Oliveira S Sebastiaan Eeltink W Weronika Hewelt-Belka

Abstract

Abstract Current extracellular vesicle (EV) isolation workflows are dominated by size- and density-based approaches, which provide limited insight into surface chemical properties of vesicular particles. Here, we report a hydrophobic interaction chromatography (HIC) workflow for resolving EV fractions along differences in membrane interfacial hydrophobicity. Using a commercially available HIC column, reproducible fractionation of EV samples was achieved, yielding discrete fractions that differed in retention behaviour and lipid composition. Transmission electron microscopy (TEM) showed vesicle-like nanoparticles with EV-consistent morphology, indicating preservation of vesicle integrity during HIC. Lipidomic profiling by reversed-phase liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (RP-LC-Q-TOF-MS) revealed fraction-specific differences in lipid composition. Importantly, we demonstrate the feasibility of direct injection of pre-cleaned biofluids onto the HIC column, enabling fractionation of nanoparticle populations containing EVs without prior ultracentrifugation. Furthermore, an operational interfacial hydrophobicity index derived from lipidomic data showed a clear correlation with HIC retention, providing an orthogonal compositional descriptor consistent with the proposed fractionation mechanism. Together, this hydrophobicity-based strategy introduces a previously unexplored physicochemical dimension to EV analysis, revealing chemically structured heterogeneity that is not accessible using conventional separation strategies. The workflow provides a practical framework for fractionating EVs in a manner directly relevant to lipidomic profiling and studies of EV membrane chemistry.

Article Details

Volume / Issue Vol. 16, Issue 1
Published May 20, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (13)

M

Michał Młynarczyk

W

Wiktoria Więckowska

M

Mariusz Belka

R

Raphael Ewonde Ewonde

J

Jagoda Mantej

M

Mikołaj Klimczuk

F

Felicja Gajdowska

J

Jorge Matinha-Cardoso

P

Paula Tamagnini

D

Danuta Gutowska-Owsiak

P

Paulo Oliveira

S

Sebastiaan Eeltink

W

Weronika Hewelt-Belka