Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (8): 1229-1236.doi: 10.3969/j.issn.2095-4344.2991

Previous Articles     Next Articles

Role and mechanism of Guilu Erxianjiao in treatment of osteoarthritis based on network pharmacology

Geng Qiudong1, Ge Haiya1, Wang Heming1, 2, 3, Li Nan1, 2   

  1. 1College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China; 2Key Laboratory of Orthopedics & Traumatology and Rehabilitation of Traditional Chinese Medicine, Ministry of Education, Fuzhou 350122, Fujian Province, China; 3Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou 350003, Fujian Province, China
  • Received:2020-05-14 Revised:2020-05-19 Accepted:2020-06-01 Online:2021-03-18 Published:2020-12-12
  • Contact: Li Nan, MD, Professor, Master’s supervisor, College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China; Key Laboratory of Orthopedics & Traumatology and Rehabilitation of Traditional Chinese Medicine, Ministry of Education, Fuzhou 350122, Fujian Province, China
  • About author:Geng Qiudong, Master candidate, College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
  • Supported by:
    the National Natural Science Foundation of China, No. 81973880; the Natural Science Foundation of Fujian Province, No. 2019J01349

Abstract: BACKGROUND: Clinical studies have shown that Guilu Erxianjiao has a remarkable effect on osteoarthritis, but its pharmacological mechanism is not yet clear.
OBJECTIVE: To analyze the potential targets, action networks and potential mechanisms of Guilu Erxianjiao for the treatment of osteoarthritis using network pharmacology. 
METHODS: The chemical constituents and corresponding targets of Guilu Erxianjiao were obtained with the help of TCMSP, BATMAN-TCM and TCMID databases, and the known disease targets of osteoarthritis were searched in OMIM, GeneCards and Drug Bank databases. Perl language was used to map the targets of the active ingredients of the drug to the targets of the disease to obtain the targets of Guilu Erxianjiao for treating osteoarthritis. Cytoscape 3.7.2 software was used to build a “drug-compound-target” interaction network. STRING software was used to construct a protein-protein interaction network, followed by a topological analysis on the obtained protein-protein interaction network to screen the key components and key targets that play a therapeutic role. R language was used to perform gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Gnomes (KEGG) pathway enrichment analysis to understand its potential mechanism of action, construct the “pathway-target” of the Guilu Erxianjiao. The relationship between the main pathway and targets was then obtained. 
RESULTS AND CONCLUSION: It is predicted that 69 active ingredients and 201 targets of Guilu Erxianjiao for treating osteoarthritis will be obtained. There are 6 key components such as quercetin, kaempferol and β-sitosterol, and 20 key targets such as  interleukin-6, mitogen-activated protein kinase 1, and cysteine-containing aspartate proteolytic enzyme 3. The results of GO and KEGG analysis showed that, through the above key targets, the Guilu Erxianjiao affected 13 major pathways, including mitogen-activated protein kinase signaling pathway, interleukin-17 signaling pathway, and tumor necrosis factor signaling pathway, and played a role in preventing and treating osteoarthritis by the focus on regulating inflammation, cartilage metabolism, apoptosis and proliferation. In conclusion, the above key targets and pathways have constructed an action network for the prevention and treatment of osteoarthritis by Guilu Erxianjiao, and its multi-component-multi-target-multi-channel treatment features provide new ideas and clues for the further basic research and clinical application of Guilu Erxianjiao. 

Key words: bone, joint, cartilage, network pharmacology, bioinformatics, target, ingredient, pathway, metabolism, cell apoptosis, inflammation, traditional Chinese medicine

CLC Number: