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1.
China Journal of Chinese Materia Medica ; (24): 2363-2369, 2021.
Article in Chinese | WPRIM | ID: wpr-879199

ABSTRACT

Chinese traditional medicine compound is the main form of Chinese medicine clinical application. The elucidation of the effective components of traditional Chinese medicine is one of the key scientific issues to promote the modernization of traditional Chinese medicine. At present, there are many research ideas on the effective components of traditional Chinese medicine compounds. By analyzing the current status and existing problems of existing research ideas, the author proposes a "double reduction network pharmacology"(2 R network pharmacology) research method based on "prediction of dominant components-potential target selection". Chemical components with good properties were selected by ADMET property prediction technology, and compared with the blood components and target organ components to determine the dominant components with potential therapeutic effect, that is "reducing constituents"; the potential core regulatory pathway of traditional Chinese medicine compound was enriched by RNA-Seq technology combined with network database, and then the target of traditional Chinese medicine compound was mined based on the signal pathway, that is "reducing targets". To improve the efficiency and accuracy of effective component screening, the network relationship of "component target" was established by the related technology of network pharmacology. The purpose of this study is to provide practical research ideas and methods for clarifying the effective components of traditional Chinese medicine, revealing the law of compatibility of traditional Chinese medicine and clarifying the target of drug action.


Subject(s)
Databases, Factual , Drugs, Chinese Herbal/pharmacology , Medicine, Chinese Traditional , Molecular Docking Simulation , Research Design
2.
China Journal of Chinese Materia Medica ; (24): 3787-3794, 2018.
Article in Chinese | WPRIM | ID: wpr-689846

ABSTRACT

Heat-clearing and detoxifying Chinese herbs (HDCHs) are mainly used to treat carbuncle, sore throat, erysipelas, gills, dysentery and other diseases induced by heat-toxicity. Inflammation is a defensive response to damaging factors in living organism with vascular system. In recent years, a large amount of experimental and clinical studies showed that HDCHs had good therapeutic effect on inflammation. This review analyzed the anti-inflammatory mechanism of 11 HDCHs by retrieving literature in past 5 years, including Lonicerae Japonicae Flos (Jinyinhua), Lonicerae Flos (Jinyinhua), Lonicerae Japonicae Caulis (Rendongteng), Forsythiae Fructus (Lianqiao), Rhizoma Coptidis(Huanglian), Gardeniae Fructus (Zhizi), Andrographis Herba (Chuanxinlian), Taraxaci Herba (Pugongying), Scrophulariae Radix (Xuanshen), Pulsatillae Radix (Baitouweng), and Agrimoniae Herba (Xianhecao). The data showed that the regulatory effect of HDCHs on inflammation may be involved mainly in the nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK) or janus kinase-signal transducers and activators of transcription (JAK-STAT) pathway, with similarity of action links among these three. Based upon the analysis of literature, we proposed some promising directions in this research field, providing a reliable theoretical basis for both experimental researches and clinical practices of HDCHs.

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