Literature DB >> 17137104

Biological evaluation of curcumin and related diarylheptanoids.

Faridah Abas1, Lim Siang Hui, Syahida Ahmad, Johnson Stanslas, D A Israf, Khozirah Shaari, Nordin H Lajis.   

Abstract

Nine derivatives of three natural diarylheptanoids, curcumin, demethoxycurcumin and bisdemethoxycurcumin, were prepared. Their antioxidant, free radical scavenging, nitric oxide (NO) inhibitory and cytotoxic activities were evaluated and compared with those of the respective natural compounds. Curcumin (1), demethoxycurcumin (2), demethyldemethoxy-curcumin (C3), diacetyldemethoxycurcumin (AC2) and triacetyldemethylcurcumin (AC5) exhibited higher antioxidant activity than quercetin while products from demethylation of 1 and 2 exhibited higher free radical scavenging activity. Compounds AC2 and AC5 were found to be most active in inhibiting breast cancer cells (MCF-7) proliferation with IC50 values of 6.7 and 3.6 microM, respectively. The activity of AC2 is almost doubled and of AC5 almost tripled as compared to curcumin. Their selectivity towards different cell lines is also more noticeable. Compounds AC2 and AC5 also showed increased activity against a human prostate cancer cell line (DU-145) and non-small lung cancer cell line (NCI-H460) with IC50 values of 20.4, 16.3 and 18.3, 10.7 microM, respectively.

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Year:  2006        PMID: 17137104     DOI: 10.1515/znc-2006-9-1002

Source DB:  PubMed          Journal:  Z Naturforsch C J Biosci        ISSN: 0341-0382


  3 in total

1.  Curcuminoid binding to embryonal carcinoma cells: reductive metabolism, induction of apoptosis, senescence, and inhibition of cell proliferation.

Authors:  Wolfgang W Quitschke
Journal:  PLoS One       Date:  2012-06-26       Impact factor: 3.240

2.  In Silico Discovery of Novel Potent Antioxidants on the Basis of Pulvinic Acid and Coumarine Derivatives and Their Experimental Evaluation.

Authors:  Rok Martinčič; Janez Mravljak; Urban Švajger; Andrej Perdih; Marko Anderluh; Marjana Novič
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

3.  A classification model to predict synergism/antagonism of cytotoxic mixtures using protein-drug docking scores.

Authors:  John C Boik; Robert A Newman
Journal:  BMC Pharmacol       Date:  2008-07-29
  3 in total

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