Work

Deciphering the lipid profile: A quantitative lipidomic investigation into extracellular vesicles derived from human, ewe, and goat colostrum

Year: 2025
Type: article
Abstract: Milk-derived extracellular vesicles (mEV) have gained attention for the immunological benefits for infants and potential as natural drug delivery vehicles. Although protein and genetic profiling of mEV have been performed, their lipid composition has received less attention. We hypothesized that quantitative lipidomics can determine lipid composition differences between human, ewe, and goat colostrum-derived extracellular vesicles (EV). Milk-derived EV were isolated using differential ultracentrifugation and subsequently characterized via nanoparticle tracking analysis and transmission electron microscopy. A total of 1,249 lipids from 30 subclasses were in found in the 3 types of mEV, with phosphatidylserine, triglycerides, phosphatidylcholine, diacylglycerol, phosphatidylethanolamine, and cholesterol being the main lipid subclasses. Three potential lipid biomarkers, free fatty acids 18:2, 24:1, and 22:4, were found in human colostrum-derived EV. Overall, colostrum is a rich source of EV, and our study provides liposomal materials for the development of functional dairy products.
Language: English
Open Access status: gold
Estimated APC paid: $3,500
OpenAlex ID: W4412465175
FWCI: 1.522
Cites: 55
Cited by: 6
Related to: 10