Repurposing Castanea sativa Spiny Burr By-Products Extract as a Potentially Effective Anti-Inflammatory Agent for Novel Future Biotechnological Applications.
Luisa FruscianteMichela GeminianiTommaso OlmastroniPierfrancesco MastroeniAlfonso TrezzaLaura SalviniStefania LamponiOttavia SpigaAnnalisa SantucciPublished in: Life (Basel, Switzerland) (2024)
The concept of a "circular bioeconomy" holds great promise for the health, cosmetic, and nutrition sectors by re-using Castanea sativa (Mill.) by-products. This sustainable resource is rich in bioactive secondary metabolites with antioxidant and anti-inflammatory properties. By transforming these by-products into high-value products for human health, we can promote sustainable economic growth and reduce the environmental impact of traditional waste disposal, adding value to previously underutilized resources. In the present study, we investigated the antioxidant capacity, phytochemical composition, and in vitro antioxidant and anti-inflammatory activity of C. sativa burr (CSB) aqueous extract. The spectrophotometric study revealed high total phenolic content (TPC) values with significant antioxidant and anti-radical properties. Using UPLC-MS/MS techniques, the phytochemical investigation identified 56 metabolites, confirming the presence of phenolic compounds in CSBs. In addition, CSBs significantly downregulated pro-inflammatory mediators in LPS-stimulated RAW 264.7 macrophage cells without significant cell toxicity. Lastly, in silico studies pinpointed three kinases from RAW 264.7 cells as binding partners with ellagic acid, the predominant compound found in our extract. These findings strongly advocate for the recycling and valorization of C. sativa by-products, challenging their conventional classification as mere "waste".
Keyphrases
- anti inflammatory
- human health
- ms ms
- oxidative stress
- induced apoptosis
- risk assessment
- healthcare
- cell cycle arrest
- single cell
- public health
- heavy metals
- life cycle
- machine learning
- stem cells
- mental health
- climate change
- deep learning
- sewage sludge
- binding protein
- signaling pathway
- cell proliferation
- transcription factor
- health information
- artificial intelligence
- molecular dynamics simulations
- human immunodeficiency virus
- high performance liquid chromatography
- health promotion