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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Antiatopic Dermatitis Effect ofArtemisia iwayomogiin Dust Mice Extract-Sensitized Nc/Nga Mice
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Antiatopic Dermatitis Effect ofArtemisia iwayomogiin Dust Mice Extract-Sensitized Nc/Nga Mice

机译：艾蒿蒿粉尘小鼠提取物敏化的Nc / Nga小鼠的抗特应性皮炎作用

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Aims.Artemisia iwayomogi(AI) has been used for fever reduction, diuresis, and hepatoprotection in Korea. The present study was performed to evaluate the anti-inflammatory and antiatopic dermatitis effects of AI using bothin vitroandin vivosystems.Methods. The compositions in AI were analyzed by HPLC. To determine the anti-inflammatory effects of AI, the production of nitric oxide (NO) was measured in lipopolysaccharide treated RAW264.7 cells. Histamine levels were assayed to evaluate the antiallergic effects on MC/9 cells stimulated with phorbol-12 myristate 13-acetate and A23187. Finally, AI (10 mg/mouse/day) was topically applied onto the backs and ears ofDermatophagoides farinae-sensitized Nc/Nga mice for four weeks.Results. Isochlorogenic acid A (20.63 ± 0.26 mg/g), chlorogenic acid (9.04 ± 0.08 mg/g), and scopoletin (8.23 ± 0.01 mg/g) were among the major components of AI. AI inhibited the NO and histamine productions in RAW264.7 and MC/9 cells, respectively. In the mice, the topical application of AI reduced the dermatitis scores in the dorsal skin and ears and reduced the plasma levels of IgE.Conclusions. These results suggest that AI might be explored as a potential therapeutic agent to treat AD, and that the analytic method using HPLC will facilitate the development of quality control for AI.
机译：目的：艾蒿蒿（Artemisia iwayomogi（AI））在韩国已用于减少发烧，利尿和保肝。本研究旨在通过体外和体内系统评估AI的抗炎和抗特应性皮炎的作用。 AI中的组成通过HPLC分析。为了确定AI的抗炎作用，在脂多糖处理的RAW264.7细胞中测量了一氧化氮（NO）的产生。测定组胺水平以评估对用佛波醇12肉豆蔻酸酯13-乙酸酯和A23187刺激的MC / 9细胞的抗过敏作用。最后，将AI（10μmg/小鼠/天）局部施用至对皮肤癣菌致敏的Nc / Nga小鼠的耳背4周。异绿原酸A（20.63±0.26 mg / g），绿原酸（9.04±0.08 mg / g）和大pole素（8.23±0.01 mg / g）是AI的主要成分。 AI分别抑制RAW264.7和MC / 9细胞中NO和组胺的产生。在小鼠中，局部应用AI可降低背部皮肤和耳朵的皮炎评分并降低IgE的血浆水平。这些结果表明，AI可能被视为治疗AD的潜在治疗剂，并且使用HPLC的分析方法将有助于AI的质量控制的发展。

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