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- Title
Anti-Inflammatory Potential of Cow, Donkey and Goat Milk Extracellular Vesicles as Revealed by Metabolomic Profile.
- Authors
Mecocci, Samanta; Gevi, Federica; Pietrucci, Daniele; Cavinato, Luca; Luly, Francesco R.; Pascucci, Luisa; Petrini, Stefano; Ascenzioni, Fiorentina; Zolla, Lello; Chillemi, Giovanni; Cappelli, Katia
- Abstract
In recent years, extracellular vesicles (EVs), cell-derived micro and nano-sized structures enclosed in a double-layer membrane, have been in the spotlight for their high potential in diagnostic and therapeutic applications. Indeed, they act as signal mediators between cells and/or tissues through different mechanisms involving their complex cargo and exert a number of biological effects depending upon EVs subtype and cell source. Being produced by almost all cell types, they are found in every biological fluid including milk. Milk EVs (MEVs) can enter the intestinal cells by endocytosis and protect their labile cargos against harsh conditions in the intestinal tract. In this study, we performed a metabolomic analysis of MEVs, from three different species (i.e., bovine, goat and donkey) by mass spectroscopy (MS) coupled with Ultrahigh-performance liquid chromatography (UHPLC). Metabolites, both common or specific of a species, were identified and enriched metabolic pathways were investigated, with the final aim to evaluate their anti-inflammatory and immunomodulatory properties in view of prospective applications as a nutraceutical in inflammatory conditions. In particular, metabolites transported by MEVs are involved in common pathways among the three species. These metabolites, such as arginine, asparagine, glutathione and lysine, show immunomodulating effects. Moreover, MEVs in goat milk showed a greater number of enriched metabolic pathways as compared to the other kinds of milk.
- Subjects
MILK analysis; ANTI-infective agents; ARGININE; ASPARAGINE; CATTLE; GLUTATHIONE; GOATS; HIGH performance liquid chromatography; IMMUNITY; IMMUNOLOGICAL adjuvants; LONGITUDINAL method; LYSINE; MASS spectrometry; DESCRIPTIVE statistics; METABOLOMICS; PHARMACODYNAMICS
- Publication
Nutrients, 2020, Vol 12, Issue 10, p2908
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu12102908