Dataset Information

Resveratrol-based cinnamic ester hybrids: synthesis, characterization, and anti-inflammatory activity.

ABSTRACT: Twenty-three novel resveratrol-based cinnamic ester hybrids were designed and synthesized. All the compounds were evaluated for their anti-inflammatory activity using RAW264.7 cells. Among them, compound D15 was found to be the most potent one in inhibiting NO production in LPS-stimulated RAW264.7 cells. The further study indicated that compound D15 could suppress expression of proteins iNOS, COX-2, p-p65, and p-I?B LPS-induced. Immunofluorescence further revealed compound D15 could reduce activation p65 in nuclei. All the results indicated that the anti-inflammatory activity of title compound may partly due to its inhibitory effect on the NF-?B signaling pathway.

SUBMITTER: Ruan BF

PROVIDER: S-EPMC6009859 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Resveratrol-based cinnamic ester hybrids: synthesis, characterization, and anti-inflammatory activity.

Ruan Ban-Feng BF Ge Wei-Wei WW Cheng Hui-Jie HJ Xu Hua-Jian HJ Li Qing-Shan QS Liu Xin-Hua XH

Journal of enzyme inhibition and medicinal chemistry 20171201 1

Twenty-three novel resveratrol-based cinnamic ester hybrids were designed and synthesized. All the compounds were evaluated for their anti-inflammatory activity using RAW264.7 cells. Among them, compound D15 was found to be the most potent one in inhibiting NO production in LPS-stimulated RAW264.7 cells. The further study indicated that compound D15 could suppress expression of proteins iNOS, COX-2, p-p65, and p-IκB LPS-induced. Immunofluorescence further revealed compound D15 could reduce activ ...[more]

PMID: 29072109

Similar Datasets

Project description:BackgroundPrevention and treatment of chronic inflammatory diseases require effective and low-toxic medicines. Molecular hybridization is an effective strategy to enhance the biological activity of new compounds. Triterpenoid scaffolds are in the focus of attention owing to their anti-inflammatory, antiviral, antiproliferative, and immunomodulatory activities. Heteroprostanoids have different pleiotropic effects in acute and chronic inflammatory processes.ObjectiveThe study aimed to develop structurally new and low toxic anti-inflammatory agents via hybridization of betulinic acid with azaprostanoic acids.MethodsA series of betulinic acid-azaprostanoid hybrids was synthesized. The synthetic pathway included the transformation of betulin via Jones' oxidation into betulonic acid, reductive amination of the latter and coupling obtained by 3β-amino-3-deoxybetulinic acid with the 7- or 13-azaprostanoic acids and their homo analogues. The hybrids 1-9 were investigated in vivo on histamine-, formalin- and concanavalin A-induced mouse paw edema models and two models of pain - the acetic acid-induced abdominal writhing and the hotplate test. The hybrids were in vitro evaluated for cytotoxic activity on cancer (MCF7, U- 87 MG) and non-cancer humane cell lines.ResultsIn the immunogenic inflammation model, the substances showed a pronounced anti-inflammatory effect, which was comparable to that of indomethacin. In the models of the exudative inflammation, none of the compounds displayed a statistically significant effect. The hybrids produced weak or moderate analgesic effects. All the agents revealed low cytotoxicity on human immortalized fibroblasts and cancer cell lines compared with 3β- amino-3-deoxybetulinic acid and doxorubicin.ConclusionThe results indicate that the principal anti-inflammatory effect of hybrids is substantially provided with the triterpenoid scaffold and in some cases with the azaprostanoid scaffold, but the latter makes a significant contribution to reducing the toxicity of hybrids. Hybrid 1 is of interest as a potent low toxic agent against immune-mediated inflammation.

Dataset Information

Resveratrol-based cinnamic ester hybrids: synthesis, characterization, and anti-inflammatory activity.

Publications

Resveratrol-based cinnamic ester hybrids: synthesis, characterization, and anti-inflammatory activity.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets