羌活-独活治疗膝骨关节炎的作用机制

目的 基于网络药理学筛选羌活-独活的主要活性化学成分,查找其对应靶点,构建羌活-独活治疗膝骨关节炎(knee osteoarthritis,KOA)潜在靶点网络,探讨羌活-独活治疗膝骨关节炎的作用机制.方法 在中药系统药理数据库(TCMSP)中通过口服生物利用度和药物相似性筛选羌活-独活的主要活性成分;再通过GeneC...

The mechanism of action ofnotopterygium incisum-angelica pubescensin treating KOA

Objective To explore the main active chemical components of Notopterygium incisum- Angelica pubescens and obserive the mechanism of action in the treatment of knee osteoarthritis to find their corresponding targets Based on the network pharmacology. Methods The main active components in The Chinese medicinal systematic- pharmacology database (TCMSP) were screened by oral bioavailability and drug similarity. Furthermore, target databases for knee osteoarthritis were established through GeneCard, OMIM, PharmGkb, Therapeutic Targets and DrugBank databases. The potential targets and the interaction between the targets were constructed by using the STRING database and Cytoscape3.8.0.The Kyoto Encyclopedia of Genes and Genes (KEGG) pathway and gene ontology (GO) biological process enrichment analysis were performed on the core targets. In addition, we also conducted molecular docking for the first 3 KOA-related targets of the active ingredients of Notopterygium incisum-Angelica pubescens through Discovery Studio. Results 12 active components and 16 potential targets for the prevention and treatment of knee osteoarthritis were screened out from Notopterygium incisum-Angelica pubescens. The results of the network pharmacologic analysis showed that the targets of Notopterygium incisum-Angelica pubescens in the treatment of knee osteoarthritis were mainly involved in cell apoptosis, estrogen, P53, interleukin-17(IL-17), glycation end products and their receptor (AGE-RAGE) signaling pathways. Molecular docking showed that the first 3 targets of KOA could be well docked with the active components of KOA. Conclusions This study provides a theoretical basis and a new direction for the treatment of knee osteoarthritis by Notopterygium incisum-Angelica pubescens with multiple components, pathways and targets.