Background/Objectives: Extracellular vesicles (EVs) have become key facilitators of communication between cells, significantly influencing various physiological functions. Although EVs originating from mammalian cells have been heavily researched for their therapeutic applications, there is a growing interest in extracellular vesicles derived from edible plants (PDEVs) because of their unique bioactive characteristics. These nanovesicles (NVs) exhibit remarkable biocompatibility, low immunogenicity, and the ability to overcome biological barriers, making them promising candidates for biomedical applications. This study aimed to evaluate the antioxidant and anti-inflammatory properties of NVs isolated from Rosa canina berries. Methods: Antioxidant activity was assessed through in vitro assays, confirming their ability to fight oxidative stress. Additionally, enzymatic inhibition tests were conducted to explore their potential role in regulating key metabolic pathways associated with inflammation and oxidative damage. The antioxidant and anti-inflammatory activity of Rosa canina NVs was further tested on a THP-1 cell-based inflammation model, demonstrating their ability to modulate the inflammatory response at the cellular level. Moreover, the impact of these NVs on gut microbiota was investigated to assess their protective effects on antibiotic-induced dysbiosis. Results: The results demonstrated their ability to modulate oxidative stress, regulate enzymatic pathways, reduce inflammation in THP-1 cells, and influence gut microbiota in a positive manner.
Nanovesicles from Rosa canina: A Treasure Trove of Antioxidant Potential for Oxidative Stress, Inflammation, and Gut Microbiota Modulation
Gaia Cusumano,Agnese Bertoldi,E. Calzoni,H. B. Alabed,Laura-Dorina Dinu,E. Vamanu,F. Matei,Gökhan Zengin,Carla Emiliani
Published 2025 in Pharmaceuticals
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- Publication year
2025
- Venue
Pharmaceuticals
- Publication date
2025-11-01
- Fields of study
Biology, Medicine, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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