Network pharmacology study on the mechanism of the herb pair of prepared Rehmannia root-Chinese arborvitae kernel for anxiety disorders.

BACKGROUND: Although anxiety disorders are one of the most common mental illness in population, antianxiety drugs often only have single action targets, require long-term use, and are associated with many adverse reactions and dependencies. Professor Yan Zhaojun from Shandong Provincial Hospital of Traditional Chinese Medicine (TCM) has applied the modified Renshu Powder, a TCM formula, to treat anxiety disorders, with satisfactory outcomes. Here, we investigated the mechanism of action of two core herbs (prepared Rehmannia root and Chinese arborvitae kernel) in the Renshu Powder in the treatment of anxiety disorders by using network pharmacology approaches. METHODS: Candidate compounds of the herb pair of prepared Rehmannia root-Chinese arborvitae kernel were extracted via the Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform. The targets of action of the main compounds were collected using the SwissTargetPrediction database. Targets associated with anxiety disorders were retrieved from DisGeNET, Online Mendelian Inheritance in Man (OMIM), DrugBank, GeneCards, and Comparative Toxicogenomics Database (CTD) databases. The compound-target interaction network was constructed by Cytoscape 3.7.2 software, and the protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) platform. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses the data by using Metascape. RESULTS: The main active compounds of the herb pair included arachidonic acid, stigmasterol, and beta-sitosterol. The key targets included Nitric Oxide Synthase 3 (NOS3), Epidermal growth factor (EGF), Prostaglandin-Endoperoxide Synthase 2 (PTGS2), Caspase 3 (CASP3), Mitogen-Activated Protein Kinase 1 (MAPK1), Peroxisome proliferator-activated receptor gamma (PPARG), RELA Proto-Oncogene, NF-KB Subunit (RELA), Estrogen Receptor 1 (ESR1), Solute Carrier Family 6 Member 4 (SLC6A4), and Phosphatase and Tensin homolog deleted on chromosome 10 (PTEN). Anxiety disorder-related GO analysis mainly involved synaptic signaling, neurotransmitter receptor activity, and G protein-coupled neurotransmitter receptor activity. The KEGG pathways involved neuroactive ligand-receptor interaction, serotonergic synapse, PI3K/AKT/mTOR signaling pathway, and MAPK signaling pathway. CONCLUSIONS: The mechanism of action of the prepared Rehmannia root-Chinese arborvitae kernel in treating anxiety disorders involves multiple ingredients, multiple targets, and pathways.

Utilizing network pharmacology to explore the underlying mechanism of Qiangzhi decoction in treating Tourette's syndrome.

BACKGROUND: Tourette's syndrome (TS) is a neurodevelopmental condition characterized by multiple motor and vocal tics. Qiangzhi decoction (QD), a well-known herbal decoction, has been used in treating TS in China for decades. We have found relevance between the indications of QD and the classic symptoms of TS. The pharmacological mechanisms of QD in treating TS are still unclear. METHODS: The active compounds of QD were extracted from multi-database, including TCMSP (the Traditional Chinese Medicine Systems Pharmacology database), and potential targets of the compounds were compiled by target fishing. The TS target database was established, and then the protein-protein interaction (PPI) network was constructed to analyze the interactions between the potential targets of compounds in QD and targets associated with TS and screened the core targets by topology. The DAVID bioinformatics database was used to conduct the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. RESULTS: 59 active molecules and 585 potential targets of QD were selected. The consequences of the DAVID enrichment analysis show that 36 cellular biological processes (FDR <0.01) and 65 pathways (FDR <0.01) of QD chiefly took part in the convoluted treating effects relevant to the dopamine system, inflammation, and infection, and miRNA pathway. Fourteen core targets of QD were found as potential targets of the treatment of TS. CONCLUSIONS: QD could relieve the symptoms of TS through the molecular mechanisms predicted by network pharmacology. This study supplies insight into how network pharmacology can predict traditional Chinese herbal medicine's possible molecular mechanisms (TCHM).