摘要
In order to clarify the targets of Xiaoyao Wan in the treatment of depression and anxiety,the pharmacological database of traditional Chinese medicine system and the analysis platform(TCMSP)were used to search the chemical components and potential targets of Xiaoyao Wan.The databases of Malacards and Genecards were used to mine the targets related to depression and anxiety.With the help of Cytoscape3.2.1 software,the“Xiaoyao Wan-targets-diseases”network is constructed.The PPI network is constructed through String database.Common targets are enriched by cluster Profiler software package in R language.161 active components of Xiaoyao Wan were screened,and 247 targets related to Xiaoyao Wan were predicted(excluding repetitive targets).The related targets of depression and anxiety were 379,337 respectively.Through the intersection of Venny diagram,24 targets of Xiaoyao Wan,depression and anxiety were obtained.24 key targets were screened out by constructing the interaction network of Xiaoyao Wan,depression and anxiety.Pathway enrichment analysis showed that Xiaoyao Wan mainly acts on key targets involves D(2)dopamine receptor(DRD2),Interleukin-6(IL6),5-hydroxytryptamine receptor 2A(HTR2A),Interleukin-1 beta(IL1B),5-hydroxytryptamine receptor 3A(HTR3A),Sodium-dependent dopamine transporter(SLC6A3),D(1A)dopamine receptor(DRD1),Interleukin-10(IL10),Sodium-dependent noradrenaline transporterin(SLC6A2)and other key targets in the treatment of depression and anxiety,and participates in important pathway processes such as Serotonergic synapse,Dopaminergic synapse,Neuroactive ligand-receptor interaction and regulation of neurotransmitter levels.It is speculated that Xiaoyao Wan plays a role in the treatment of depression and anxiety by affecting neurotransmitters 5-HT and DA,participating in hypothalamic-pituitary-adrenal(HPA)and interfering in the process of inflammation.
基金
Key discipline project of traditional Chinese medicine pharmaceutical engineering of Shanxi provincial administration of traditional Chinese medicine(2017)
Discipline innovation team project of Shanxi university of Chinese medicine(No.2019-YL11)。
