以多种数学模型探求降脂颗粒组方配伍优化的研究

目的:探索中药复方多指标综合评价,多组分药物配伍优化的研究方法.方法:采用均匀设计—药效试验—多指标综合评价-LASSO算法建模—进化搜索寻优—试验验证的研究策略,以血清ALT,AST,TG,TC,HDL,LDL,肝TG浓度,肝体比值为药效指标,对降脂颗粒的组方配伍进行优化.结果:层次分析法结合CRITIC法确立的综合药效值,既反映了中药复方的多靶点、多层次的药理效应又反映了实际样本数据的信息,LASSO算法能较准确的反映复方组分与综合药效的复杂的非线性映射关系,在此基础上优化得到的最佳配伍组经实验验证,相对于原方组具有相对较好的综合药理效应.结论:层次分析法结合CRITIC法可用于中药复方药效多指标综合,结合LASSO算法是中药复方多指标评价,多药物配伍优化的有效方法之一.

Multi-mathematical modelings for compatibility optimization of Jiangzhi granules

Objective: To investigate into the method of "multi activity index evaluation and combination optimized of mult-component" for Chinese herbal formulas. Method: According to the scheme of uniform experimental design, efficacy experiment, multi index evaluation, least absolute shrinkage, selection operator(LASSO) modeling, evolutionary optimization algorithm, validation experiment, we optimized the combination of Jiangzhi granules based on the activity indexes of blood serum ALT, ALT, AST, TG, TC, HDL, LDL and TG level of liver tissues, ratio of liver tissue to body. Result: Analytic hierarchy process (AHP) combining with criteria importance through intercriteria correlation (CRITIC) for multi activity index evaluation was more reasonable and objective, it reflected the information of activity index's order and objective sample data. LASSO algorithm modeling could accurately reflect the relationship between different combination of Jiangzhi granule and the activity comprehensive indexes. The optimized combination of Jiangzhi granule showed better values of the activity comprehensive indexed than the original formula after the validation experiment. Conclusion: AHP combining with CRITIC can be used for multi activity index evaluation and LASSO algorithm, it is suitable for combination optimized of Chinese herbal formulas.