ABSTRACT
Objective:The methods of network pharmacology were adopted to predict Multi-component Chinese Medicine (MCCM) with anti-tumor activity from Shuanghuanglian (SHL). Furthermore, the pharmaceutical activity of CT26 colon cancer was verified in vitro and in vivo. Method:Based on the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), the Handbook of Active Components Analysis of Traditional Chinese Medicine, the Drugbank database, the Reactome database, and the Human protein reference database (HPRD), the protein-protein interactions network (PPI) and the drug target network were built and resolved. The data was mined to discover the pharmacological effect. The anti- tumor activity of components from SHL was determined based on the nearest distance rule between the compounds and the nodes of network. And then, the anti-tumor effect of the MCCM was verified in vitro and in vivo. Result:The 3 combined compounds, baicalin, forsythoside A and chlorogenic acid with the anti-tumor activity from SHL were predicted and discovered. The verification results showed that the combination of baicalin-forsythoside A-chlorogenic acid could significantly inhibit the cell proliferation and migration compared with the control group in vitro (P<0.01). Among CT26 bearing mice, the tumor volume and weight were significantly decreased after the combined administration of baicalin-forsythoside A-chlorogenic acid compared with the model group in vivo (P<0.01). Conclusion:By the methods of network pharmacology, the anti-tumor activities of component of from SHL were discovered. According to the verification in vitro and in vivo, the combination of baicalin-forsythoside A-chlorogenic acid could play better anti-CT26 tumor activity.
ABSTRACT
This research is to study the relationship between HPLC fingerprints of Moutan Cortex, Paeoniae Radix Rubra and Paeoniae Radix Alba and their activity on lipopolysaccharide-induced acute lung injury. HPLC fingerprints of each extract of Moutan Cortex,Paeoniae Radix Rubra and Paeoniae Radix Alba were established by an optimized HPLC-MS method. The activities of all samples against protein and tumor necrosis a factor were tested by the model of lipopolysaccharide-induced acute lung injury. The possible relationship between HPLC-MS fingerprints and the activitieswere deduced by the Partial least squares regression analysis method. Samples were analyzed by HPLC-MS/MS to identify the major peaks. The results showed that each sample had some effect on acute lung injury. Four components with a lager contribution rate of efficacy were calculated by the research of spectrum-effect relationship. Moutan Cortex exhibited good activity on acute lung injury, and gallic acid, paeoniflorin, galloylpaeoniflorin and paeonol were the main effective components.