山东科学 ›› 2020, Vol. 33 ›› Issue (3): 68-74.doi: 10.3976/j.issn.1002-4026.2020.03.010

• 药理与毒理 • 上一篇    下一篇

基于变异系数的模糊物元模型评价阔叶十大功劳根不同提取部位的抗炎镇痛作用

曹国琼,洪林,蒲兰,李冰冰,张永萍*   

  1. 贵州中医药大学,贵州 贵阳 550025
  • 出版日期:2020-05-29 发布日期:2020-06-01
  • 通信作者: 张永萍(1964—),女,博士生导师,教授,研究方向为中药新制剂与新剂型。E-mail:zgygpg@126.com
  • 作者简介:曹国琼(1986—),女,博士,讲师,研究方向为中药药效与物质基础。E-mail: cgqxch1986@126.com
  • 基金资助:
    贵州省国内一流建设学科项目(GNYL[2017]008号);贵州省中医药管理局中医药、民族医药科学技术研究课题(QZYY-2018-133);贵州省苗医药重点实验室开放课题(黔苗医药K字[2017]006);贵阳中医学院博士科研启动基金(2017);贵阳中医学院大学生创新创业训练计划项目(贵中医大创合字(2018)34号);贵阳中医学院科研项目(贵中医科院内[2018]76号)

The anti-inflammatory and analgesic effect of different extract parts from the roots of Mahonia bealei evaluated by fuzzy matter-element model based on the coefficient of variation

CAO Guo-qiong, HONG Lin, PU Lan, LI Bing-bing, ZHANG Yong-ping*   

  1. Guizhou University of Traditional Chinese Medicine, Guiyang 550025,China
  • Online:2020-05-29 Published:2020-06-01

摘要:

为了筛选阔叶十大功劳根抗炎镇痛的有效部位,应用模糊物元模型对阔叶十大功劳根不同提取部位抗炎镇痛效果进行综合评价。采用醋酸扭体法、热水缩尾法及热板法,以小鼠足跖肿胀、耳廓肿胀程度考察阔叶十大功劳根不同提取部位的抗炎镇痛作用;用变异系数权重的模糊物元模型对其干预效果进行综合评价;通过计算贴近度比较模型组(M1)、阳性对照组(M2)、水提物组(M3)、乙醇提取物组(M4)、正丁醇提取物组(M5)、乙酸乙酯提取物组(M6)、石油醚提取物组(M7)的抗炎镇痛效果。结果显示阔叶十大功劳根不同提取部位均有抗炎镇痛的效果,但各部位抗炎镇痛效果程度不同;反应不同部位抗炎镇痛总效应的贴近度值从大到小排序为M6M4M3M5M2M7M1。基于变异系数权重的模糊物元模型可筛选出阔叶十大功劳根抗炎镇痛的最佳有效部位为乙酸乙酯提取部位,能够客观、科学地评价不同提取部位的抗炎镇痛效果。

关键词: 阔叶十大功劳, 抗炎, 镇痛, 模糊物元模型, 有效部位

Abstract:

To screen the effective parts from the roots of Mahonia bealei for anti-inflammatory and analgesic, and explore the application of fuzzy matter-element model in the comprehensive evaluation of anti-inflammatory and analgesic effects of different extract parts from the roots of Mahonia bealei. The acetic acid twisting method, the tail-immersion test, and the hot plate method were used, and the anti-inflammatory and analgesic effects were investigated by mouse models of plantar swelling and auricle swelling. The fuzzy matter-element model based on the weighting variation coefficient was used for the evaluation of the comprehensive intervention effect. The nearness degree was calculated and compared among the model group (M1), positive control group (M2), water extract group (M3), ethanol extract group(M4), n-butanol extract group (M5), ethyl acetate extract group (M6), and petroleum ether extract group (M7) for anti-inflammatory and analgesic effects. The findings showed that different extract parts from the roots of the Mahonia bealei have anti-inflammatory and analgesic effects, but the degree varies. The values of nearness degree, defined for the anti-inflammatory and analgesic effects, were sorted from the largest to the smallest: M6, M4, M3, M5, M2, M7, and M1. The fuzzy matter-element model based on the weighting variation coefficient can be used to screen the best effective extract part with ethyl acetate from roots of the Mahonia bealei and evaluate the anti-inflammatory and analgesic effects of the different extract parts from the roots of Mahonia bealei objectively and scientifically.

Key words: Mahonia bealei;antiinflammatory, analgesic, fuzzy matterelement model, effective parts