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Updated: Jan 11, 2026

Characterization of Adipocyte-Derived Extracellular Vesicle Secretion Using a CD63-GFP Reporter Mouse Model In Vivo and In Vitro
Published on: December 5, 2025
Extracellular vesicles in obesity: linking postprandial metabolism to metabolic dysfunction
Elvira Marquez-Paradas1,2, Sergio Montserrat-de la Paz1,2
1Department of Medical Biochemistry, Molecular Biology, and Immunology, School of Medicine, University of, Seville, Av. Dr Fedriani s/n, 41009 Seville, Spain. delapaz@us.es.
Obesity alters extracellular vesicles (EVs) during digestion, impacting metabolic health and cardiovascular disease risk. Understanding these diet-EV interactions is key for developing new interventions.
Area of Science:
- Metabolic Health
- Cardiovascular Research
- Cellular Biology
Background:
- Obesity is a significant global health issue linked to cardiovascular disease (CVD).
- Extracellular vesicles (EVs) are crucial for cell-to-cell communication, transporting various molecules.
- In metabolic disorders, altered EVs contribute to endothelial dysfunction, insulin resistance, and inflammation.
Purpose of the Study:
- To review how postprandial metabolism affects EV profiles and functions.
- To explore the interaction between diet, particularly dietary fat, and EV composition.
- To assess the emerging evidence for food-derived EVs and their bioactivity.
Main Methods:
- Narrative review integrating omics and mechanistic studies.
- Analysis of associations versus causality in EV dynamics.
- Examination of dietary fat's impact on EV lipid and miRNA cargoes.
Main Results:
- Postprandial metabolism significantly reshapes EV abundance, origin, and cargo.
- Dietary fat quantity and quality can reprogramme EV contents.
- Evidence suggests food-derived EVs have limited but context-dependent bioactivity.
Conclusions:
- Clarifying postprandial EV dynamics is essential for biomarker development.
- EVs offer potential therapeutic targets for obesity-related metabolic dysfunction.
- Adherence to MISEV guidelines is crucial for research reproducibility and translation.
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