Identification of anti-inflammatory target genes of Rhizoma coptidis extract in lipopolysaccharide-stimulated RAW264.7 murine macrophage-like cells.

来自 PUBMED

作者:

Kim JMJung HAChoi JSLee NG

展开

摘要:

Rhizoma coptidis is used widely in traditional Oriental medicine to treat inflammatory diseases. The aim of this study was to identify the anti-inflammatory target genes of Rhizoma coptidis extract (CEX) in lipopolysaccharide (LPS)-stimulated RAW264.7 murine macrophage-like cells. RAW264.7 cells were treated with CEX in the absence or presence of LPS for 6h, and changes in gene expression profiles were analyzed using oligonucleotide DNA microarrays. The results of microarray analysis were validated by semiquantitative reverse transcription-polymerase chain reaction. To confirm the anti-inflammatory activity of CEX, the concentrations of cytokines released into the media were measured by sandwich ELISA, NO production was assessed using the Griess reagent, and iNOS expression levels were determined using immunoblot analysis. Microarray analysis revealed that activation of RAW264.7 cells with LPS elicited marked changes in mRNA expression of numerous genes known to be associated with inflammatory responses. Treatment of the cells with CEX suppressed the expression of various cytokines/chemokines, cell surface molecules, adhesion molecules, and growth factors. An ELISA also showed a decrease in the secretion of IL-1alpha, GM-CSF, and IL-6 but not of TNF-alpha. iNOS protein expression and NO production were also reduced by CEX treatment. The data obtained in this study demonstrate that CEX exerts its anti-inflammatory effect by inhibiting the expression of various proinflammatory cytokines and cell surface molecules involved in inflammatory responses at the transcriptional level. These data support the traditional use of CEX as an anti-inflammatory agent and should provide useful information for the understanding of the pharmacological effects of CEX.

收起

展开

DOI:

10.1016/j.jep.2010.05.022

被引量:

12

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(520)

参考文献(0)

引证文献(12)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读