Journal of Natural Medicines
Article . 2012 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Cyclic diarylheptanoids as inhibitors of NO production from Acer nikoense
Authors: Jun, Deguchi; Yusuke, Motegi; Asami, Nakata; Takahiro, Hosoya; Hiroshi, Morita;
pmid: 22456895
Cyclic diarylheptanoids as inhibitors of NO production from Acer nikoense
Abstract
We prepared a series of acerogenins A and B derivatives as inhibitors of nitric oxide (NO) production in vitro. Our results suggested that an ester group at a hydroxyl at C-2 improved inhibitory effects without cytotoxicity. A benzoyl ester derivative of acerogenin C showed the most potent inhibitory activity of NO production from lipopolysaccharide-activated macrophages.
Related Organizations
- Hoshi University Japan
- Tokyo University of Science Japan
Keywords
Diarylheptanoids, Acer, Nitric Oxide
Diarylheptanoids, Acer, Nitric Oxide
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).18 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
18
Average
Top 10%
Top 10%
