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

Abstract

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. 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. 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. 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).