摘要
以多糖和人参皂苷提取量为考察指标,采用Box-Behnken法优化补肾益脑方提取工艺,并评估其对D-半乳糖诱导的阿尔茨海默病模型小鼠的疗效。结果显示,最佳提取工艺为加水10倍,提取3次,每次2 h,多糖含量为(5.84±0.062)mg/mL,人参皂苷含量为(2.31±0.015)mg/mL。动物实验表明,补肾益脑方可显著改善模型小鼠的学习与认知能力,降低脑内氧化应激和神经炎症水平,减少神经元损伤。优化工艺操作简便、准确,具有良好的预测性和重现性,为补肾益脑方的进一步研究提供了实验依据。
Using the extraction yields of polysaccharides and ginsenosides as evaluation indicators,the extraction process of the Bu Shen Yi Nao formula was optimized by the Box-Behnken method,and its therapeutic effects on Dgalactose-induced Alzheimer′s disease(AD)model mice were assessed.The results showed that the optimal extraction process was achieved by adding 10 times the volume of water,extracting three times for 2 h each time,with the yields of polysaccharides and ginsenosides being(5.84±0.062)mg/mL and(2.31±0.015)mg/mL,respectively.Animal experiments demonstrated that the Bu Shen Yi Nao formula significantly improved learning and cognitive abilities in model mice,reduced brain oxidative stress and neuroinflammation levels,and decreased neuronal damage.The optimized extraction process is simple,accurate,and has good predictability and reproducibility,providing an experimental basis for further research on the Bu Shen Yi Nao formula.
作者
赵子越
邹烨
刘阿娇
高萌
孟祥鹤
李学涛
于洋
ZHAO Ziyue;ZOU Ye;LIU Ajiao;GAO Meng;MENG Xianghe;LI Xuetao;YU Yang(School of Pharmacy,Liaoning University of Traditional Chinese Medicine,Liaoning Dalian 116600;Key Laboratory of Theory and Application of TCM Zangxiang,Ministry of Education,Liaoning University of Traditional Chinese Medicine,Liaoning Shenyang 110847;Key Laboratory of Targeted Drug Delivery of Traditional Chinese Medicine,Liaoning Shenyang 110000;Baotou Vocational and Technical College,Inner Mongolia Baotou 014035,China)
出处
《广州化工》
2026年第2期60-66,共7页
GuangZhou Chemical Industry
基金
辽宁中医药大学中医脏象理论及应用教育部重点实验室开放基金资助(zyzx2301)
辽宁中医药大学高层次人才引进基金(2020LZY004)
辽宁中医药大学2023年度大学生创新创业训练计划立项项目(20230504013)
中国博士后科学基金(2022MD723796)
辽宁省科技厅博士科研启动基金(2023-BS-139)
辽宁省教育厅高校基本科研项目(JYTQN2023471)。
关键词
补肾益脑
响应面法
处方优选
阿尔茨海默病
药效评价
Bu Shen Yi Nao
response surface method
formula optimization
Alzheimer’s Disease
efficacy evaluation
