Anti-inflammatory effect of hydrolyzed celery leaves extract in murine primary splenocyte.
Jae Young ShinDenis Nchang CheByoung Ok ChoHyun Ju KangJi-Su KimSeon-Il JangPublished in: Journal of food biochemistry (2019)
Apium graveolens (celery) has been used in traditional medicine for the treatment of various ailments. However, its molecular mechanism of action in inflammatory response is unclear. In this study, we sought to investigate the anti-inflammatory properties of celery leaves. We prepared an acid-hydrolyzed extract of celery leaves (HCE) and studied its effects on concanavalin A (ConA)-stimulated primary splenocytes. HCE at noncytotoxic concentrations, inhibited ConA-induced proliferation of splenocytes. HCE treatment reduced CD4+ T cell population and decreased expressions and production of cytokines in stimulated splenocytes. In addition, HCE significantly inhibited NO production and reduced the expression of COX-2 mRNA in the stimulated splenocytes. The effects seen were probably due to HCE's downregulation of NF-κB/p65 activation in splenocytes. By providing the anti-inflammatory mechanism of action of HCE, these findings are potentially important for future studies that may, ultimately result in the potential use of celery for the treatment/prevention of inflammatory diseases. PRACTICAL APPLICATIONS: Apium graveolens is a well-known edible plant with high concentrations of bioactive compounds such as apigenin, luteolin, and kaempferol. The research investigated the effects of A. graveolens leaves in splenocyte proliferation, and production of inflammatory mediators and cytokines. The data obtained from this study shed light on the use of plant extracts and plant-based bioactives in nutraceutical industries as potential functional food materials for preventing inflammatory diseases.
Keyphrases
- anti inflammatory
- oxidative stress
- signaling pathway
- inflammatory response
- cell proliferation
- poor prognosis
- immune response
- combination therapy
- human health
- binding protein
- lps induced
- climate change
- endothelial cells
- current status
- lipopolysaccharide induced
- high glucose
- long non coding rna
- pi k akt
- artificial intelligence
- high speed
- data analysis
- nuclear factor