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Identification of the molecular mechanisms of Salvia miltiorrhiza relevant to the treatment of osteoarthritis based on network pharmacology

药物数据库 系统药理学 丹参 小桶 计算生物学 药理学 广告 异鼠李素 中医药 活性成分 AKT1型 生物信息学 生物 医学 信号转导 PI3K/AKT/mTOR通路 基因本体论 药代动力学 山奈酚 基因 基因表达 生物化学 药品 抗氧化剂 替代医学 病理 槲皮素
作者
Rendong Jiang,Xiaogang Zhang,Yicheng Li,Haikang Zhou,Huhu Wang,Fei Wang,Hairong Ma,Li Cao
出处
期刊:Discovery Medicine [Discovery Medicine]
卷期号:30 (160): 83-95 被引量:7
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摘要

Traditional Chinese medicine Salvia miltiorrhiza (SM) is a novel application and has shown significant clinical efficacy in treating osteoarthritis (OA). However, the molecular mechanisms of its action have not been systematically evaluated. This study explores the mechanisms of SM in the treatment of osteoarthritis using a network pharmacology approach. In this study, the active ingredients and related targets of SM were obtained following an ADME (absorption, distribution, metabolism, excretion) approach and utilizing the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. OA-related targets were obtained through GeneCard, PharmGkb, TTD, OMIM, and DRUGBANK databases. The common targets were obtained using the jvenn online tool. The ingredient-target network and the crucial active ingredients were obtained by Cytoscape. The protein-protein interaction (PPI) network and the key targets of SM in the treatment of OA were obtained by the STRING database and Cytoscape. The GO function and KEGG pathway enrichment cluster of the common targets were obtained by Metascape. Molecular docking was obtained by SwissDock to verify the correlation between the crucial active ingredients and key targets. We identified 59 active ingredients including luteolin, tanshinone IIA, dihydrotanshinquinone, and danshenxinkun D with important biological effects in the treatment of OA. We screened 72 common targets of SM-OA, among which IL-6, AKT1, VEGFA, TNF, TP53, FOS, MAPK1, and CASP3 are the key targets. The GO function and KEGG pathway enrichment cluster of the common targets revealed that SM acts on OA mainly through the PI3K-AKT, IL-17, HIF-1, and TNF signaling pathways and that its function is mainly to regulate metabolism, apoptosis, inflammation, and cell proliferation. Moreover, the molecular docking analysis indicated that the crucial ingredients were tightly bound to the key targets. Overall, our study has preliminarily revealed the molecular mechanisms of SM in the treatment of OA through multi-component, multi-target, and multi-channel network pharmacology approaches.
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