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基于生物学效应的中药寒热药性判别模式研究

[Study on discrimination mode of cold and hot properties of traditional Chinese medicines based on biological effects].

作者信息

Huang Li-Ping, Zhu Ming-Feng, Yu Ri-Yue, Du Jiang-Qiang, Liu Hong-Ning

出版信息

Zhongguo Zhong Yao Za Zhi. 2014 Sep;39(17):3353-8.

Abstract

OBJECTIVE

To observe the effect of cold or hot properties of traditional Chinese medicines (TCM) on biological effect indexes, and analyze the contribution of variables on cold or hot properties, in order to preliminarily establish the discrimination mode for the biological effects of cold or hot properties.

METHOD

Rats were randomly divided into the blank control group, cold TCM groups (Coptidis Rhizoma, Scutellariae Radix, Phellodendri Cortex, Gardeniae Fructus, Sophorae Flavescentis Radix and Gentianae Radix) and hot TCM groups (Aconiti Lateralis Preparata Radix, Zingiberis Rhizoma, Alpiniae Officinarum Rhizoma, Zanthoxyli Pericarpium, Cinnamomi Cortex and Evodiae Fructus), and orally administered with 10 mL x kg(-1) of corresponding TCM water decoctions for 30 d, twice a day. Altogether 53 biological effect indexes correlated to cold or hot properties of traditional Chinese medicines were founded by searching literatures. The data warehouse were established by using data-mining software Clementine12.0. Data of the blank control group, cold TCM groups (Coptidis Rhizoma, Phellodendri Cortex, Gardeniae Fructus, Sophorae Flavescentis Radix, Gentianae Radix) and hot TCM groups (Aconiti Lateralis Preparata Radix, Zingiberis Rhizoma, Alpiniae Officinarum Rhizoma, Zanthoxyli Pericarpium, Cinnamomi Cortex) were selected into a training set. C5.0 algorithm and C&R classification and regression algorithm were adopted to define the importance of variable, create the decision trees, and test hot or cold properties of Evodiae Fructus and Scutellariae Radix.

RESULT

According to C&R classification and regression algorithm, SDH activity of livers was the most important hot or cold property, with the significance closed to 30%. It was followed by triglyceride, liver Na' -K' -ATPase enzyme, muscle glycogen and platelet distribution width, with the accuracy up to 97.39% in models. C5.0 algorithm showed that liver SDH activity was the most important hot or cold property, with the significance closed to 40%. It was followed by triglyceride, GOT, muscle glycogen and liver Na(+)-K(+)-ATPase enzyme, with the accuracy up to 98.26% in models. The possibilities that Evodiae Fructus is in hot property and Scutellariae Radix is in cold property were 100. 00% and 77.78% by using both C&R classification and regression algorithm and C5.0 algorithm.

CONCLUSION

The SDH activity of liver is the most important biological effect index to distinguish cold and hot properties of TCMs. The discrimination pathway or mode of cold and hot properties is closely related to energy metabolism.

摘要

目的

观察中药寒、热属性对生物学效应指标的影响,分析各变量对寒、热属性的贡献度,初步建立中药寒、热属性生物学效应的判别模式。

方法

将大鼠随机分为空白对照组、寒性中药组(黄连、黄芩、黄柏、栀子、苦参、龙胆)和热性中药组(制附子、干姜、高良姜、花椒、肉桂、吴茱萸),每天2次,按10 mL·kg⁻¹灌胃相应中药水煎液,连续30 d。通过文献检索,共建立53个与中药寒、热属性相关的生物学效应指标。采用数据挖掘软件Clementine12.0建立数据库。选取空白对照组、寒性中药组(黄连、黄柏、栀子、苦参、龙胆)和热性中药组(制附子、干姜、高良姜、花椒、肉桂)的数据作为训练集。采用C5.0算法和C&R分类回归算法确定变量重要性,建立决策树,并对吴茱萸和黄芩的寒、热属性进行判别验证。

结果

根据C&R分类回归算法,肝脏琥珀酸脱氢酶(SDH)活性是判别寒、热属性最重要的指标,重要性接近30%,其次为甘油三酯、肝脏钠钾ATP酶、肌糖原和血小板分布宽度,模型准确率达97.39%。C5.0算法显示,肝脏SDH活性是判别寒、热属性最重要的指标,重要性接近40%,其次为甘油三酯、谷草转氨酶、肌糖原和肝脏钠钾ATP酶,模型准确率达98.26%。采用C&R分类回归算法和C5.0算法判别,吴茱萸为热性、黄芩为寒性的可能性均为100.00%和77.78%。

结论

肝脏SDH活性是判别中药寒、热属性最重要的生物学效应指标,寒、热属性判别途径或模式与能量代谢密切相关。

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