[1] HU Yue XU Bingbing,.Prediction of Antidepressant Mechanism of Ginseng by Network Pharmacology [J]. Journal of Shaanxi University of Traditional Chinese Medicine, 2021, (05): 113-119. [doi: 10.13424/j.cnki.jsctcm.2021.05.023]
Prediction of Antidepressant Mechanism of Ginseng by Network Pharmacology
- Article number:
- 2096-1340(2021)05-0113-07
- Keywords:
- Ginseng; Depression; Network pharmacology; Action target; Protein interaction
- ZTFLH:
- R285
- Code:
- A
- Abstract:
- Objective To study the potential molecular mechanism of Ginseng in the treatment of depression.Methods Through the method of network pharmacology,the main active components of Ginseng were obtained by TCMSP database.The active components of Ginseng were screened by Drugbank,Genecards,NCBI,OMIM and other databases,and the antidepressant targets of Ginseng were predicted.String database and Cytoscape software were used to draw the target protein interaction network,Cytoscape software was used to construct the network of active ingredient action target,and DAVID database was used to analyze the go and KEGG pathways of the target.Results After screening,17 active components of Ginseng were obtained,and 43 targets were mainly involved.The results of network analysis showed that Ginseng mainly involved biological processes such as metabolic process,cellular process and response to stress in the process of exerting antidepressant effect,through regulating neuroactive live receptor interaction,toxoplasmosis,pathways in cancer,leishmaniasis,serotonic synapse,osteolast differentiation tuberculosis and other signaling pathways to play an antidepressant role.Conclusion Fumarine,stigmasterol,Panaxadiol,kaempferol and arachidonic acid can act on AKT1,TNF,PPARG,aprb2 and IL-1β、 PTGS2 and other targets regulate multiple signal pathways for anti-inflammatory and synaptic regulation,which may play a role in the treatment of depression.
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基金项目：江西省卫健委中医药科研计划课题（2018A076）