Study on discrimination mode of cold and hot properties of traditional Chinese medicines based on biological effects.
- Author:
Li-Ping HUANG
;
Ming-Feng ZHU
;
Ri-Yue YU
;
Jiang-Qiang DU
;
Hong-Ning LIU
- Publication Type:Journal Article
- MeSH: Algorithms; Animals; Drugs, Chinese Herbal; classification; pharmacology; Fruit; chemistry; Liver; drug effects; metabolism; Liver Glycogen; metabolism; Male; Medicine, Chinese Traditional; methods; Outcome Assessment (Health Care); methods; Phytotherapy; classification; methods; Plant Roots; chemistry; Plants, Medicinal; chemistry; classification; Random Allocation; Rats, Sprague-Dawley; Rhizome; chemistry; Sodium-Potassium-Exchanging ATPase; metabolism; Succinate Dehydrogenase; metabolism; Triglycerides; metabolism
- From: China Journal of Chinese Materia Medica 2014;39(17):3353-3358
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo 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.
METHODRats 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.
RESULTAccording 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.
CONCLUSIONThe 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.