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Updated: Jan 15, 2026

Rapid Isolation of Human Breast Milk-Derived Extracellular Vesicles
Published on: November 14, 2025
Characterization of Extracellular Vesicles From Fresh vs. Frozen Human Milk Including the Vesicular microRNA Cargo
Emelie Ahlberg1, Ahmed Al-Kaabawi1, Maria Eldh2,3,4
1Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection Linköping University Linköping Sweden.
Freezing human milk extracellular vesicles (EVs) with sodium citrate (SC) alters particle size and protein levels, but not miRNA cargo. Frozen milk EVs remain suitable for morphology, size, surface marker, and miRNA profiling.
Area of Science:
- Neonatal immunology
- Extracellular vesicle research
- Breast milk composition
Background:
- Human milk extracellular vesicles (EVs) play a role in neonatal immunity.
- Freezing and sodium citrate (SC) are common sample processing steps.
- Potential effects of these methods on EV characteristics and miRNA cargo are unknown.
Purpose of the Study:
- To evaluate the impact of freezing and SC addition on human milk EV characteristics and miRNA profiles.
- To determine if frozen milk EV isolates yield valid results for downstream analyses.
Main Methods:
- Human milk samples were collected and subjected to four treatments: fresh, frozen, fresh with SC, and frozen with SC.
- EVs were isolated using ultracentrifugation.
- Characterization included Nanoparticle Tracking Analysis (NTA), flow cytometry, Western blot, and electron microscopy.
- miRNA cargo was analyzed by qPCR.
Main Results:
- Freezing alone did not affect evaluated EV parameters.
- Freezing with SC significantly altered particle mean size (NTA) and protein levels (flow cytometry).
- Neither freezing nor SC impacted the EV miRNA cargo (qPCR).
Conclusions:
- EV isolates from frozen human milk samples can produce valid results for morphology, size, surface markers, and miRNA profiling.
- Freezing with SC affects certain EV characteristics but preserves the miRNA cargo.
- These findings support the use of frozen milk samples for EV research.
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