Network Pharmacology Approach to Uncover the Mechanism Governing the Effect of Radix Achyranthis Bidentatae on Osteoarthritis
| Autor: | Runlin Xing, Liang Ding, Peimin Wang, Zhengquan Huang, Wei Mei, Li Zhang, Jun Mao, Xiaoqing Shi, Laigen Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
PharmGKB Computational biology Biology Plant Roots 03 medical and health sciences 0302 clinical medicine Interaction network Osteoarthritis Humans Protein Interaction Maps KEGG Medicine Chinese Traditional PI3K/AKT/mTOR pathway Achyranthes Mechanism prediction lcsh:Other systems of medicine lcsh:RZ201-999 030104 developmental biology Cell metabolism Complementary and alternative medicine 030220 oncology & carcinogenesis Radix Achyranthis Bidentatae Rab DrugBank Systems pharmacology Research Article Drugs Chinese Herbal Network pharmacology |
| Zdroj: | BMC Complementary Medicine and Therapies, Vol 20, Iss 1, Pp 1-12 (2020) BMC Complementary Medicine and Therapies |
| ISSN: | 2662-7671 |
| DOI: | 10.1186/s12906-020-02909-4 |
| Popis: | Background This study used a network pharmacology approach to elucidate the molecular mechanism governing the effect of Radix Achyranthis Bidentatae (RAB) on osteoarthritis (OA). Methods Based on oral bioavailability and drug-likeness, the main active components of RAB were screened via the Traditional Chinese Medicine Systems Pharmacology platform. The GeneCard, OMIM, PharmGkb, Therapeutic Targets database, and DrugBank database were used to establish a database of osteoarthritis targets. The interactive active network map of “ingredient-target” was constructed with Cytoscape software (Version 3.7.1). The protein-protein interaction network was constructed with the STRING database, and the related protein interaction relationship was analysed. GO biological function analysis and KEGG enrichment analysis for core targets were performed. Finally, docking of the active components with the core target was carried out. Results Sixteen active components of RAB were obtained, and 63 potential targets for OA were identified. Network analysis results indicate that these targets are primarily involved in regulating biological processes, such as cell metabolism, apoptosis, and cell proliferation. Pathways involved in the treatment of osteoarthritis include virus-related signalling pathways, apoptosis signalling pathways, IL-17 signalling pathways, and PI3K/AKT signalling pathways. Conclusion RAB has the characteristics of being multi-system, multi-component and multi-target. Possible mechanisms of action for RAB include regulating the immune and inflammatory responses, reducing chondrocyte apoptosis, and protecting the joint synovial membrane and cartilage to control disease development. The active ingredients in RAB, such as sterols and flavonoids, exhibit strong potential as candidate drugs for the treatment of osteoarthritis. |
| Databáze: | OpenAIRE |
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