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14 August 2019 : Clinical Research  

Network Pharmacology Identifies the Mechanisms of Action of Shaoyao Gancao Decoction in the Treatment of Osteoarthritis

Naiqiang Zhu1A*, Jingyi Hou2BC, Guiyun Ma1BD, Jinxin Liu2BG

DOI: 10.12659/MSM.915821

Med Sci Monit 2019; 25:6051-6073

Abstract

BACKGROUND: Osteoarthritis (OA) affects the health and wellbeing of the elderly. Shaoyao Gancao decoction (SGD) is used in traditional Chinese medicine (TCM) for the treatment of OA and has two active components, shaoyao (SY) and gancao (GC). This study aimed to undertake a network pharmacology analysis of the mechanism of the effects of SGD in OA.

MATERIAL AND METHODS: The active compounds and candidates of SGD were obtained from the Traditional Chinese Medicine (TCM) [email protected], the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, the STITCH database, the ChEMBL database, and PubChem. The network pharmacology approach involved network construction, target prediction, and module analysis. Significant signaling pathways of the cluster networks for SGD and OA were identified using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

RESULTS: Twenty-three bioactive compounds were identified, corresponding to 226 targets for SGD. Also, 187 genes were closely associated with OA, of which 161 overlapped with the targets of SGD and were considered to be therapeutically relevant. Functional enrichment analysis suggested that SGD exerted its pharmacological effects in OA by modulating multiple pathways, including cell cycle, cell apoptosis, drug metabolism, inflammation, and immune modulation.

CONCLUSIONS: A novel approach was developed to systematically identify the mechanisms of the TCM, SGD in OA using network pharmacology analysis.

Keywords: Health Care Evaluation Mechanisms, Medicine, Chinese Traditional, Osteoarthritis, Knee, China, Chromatography, High Pressure Liquid, Cluster Analysis, Computer Simulation, Databases, Factual, Drugs, Chinese Herbal, Osteoarthritis, Pharmacological and Toxicological Phenomena, Protein Interaction Maps

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750