Department of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Institute of Osteoporosis Diagnosis and Treatments of Soochow University, Suzhou 215004, China.
J Healthc Eng. 2022 Mar 30;2022:5298892. doi: 10.1155/2022/5298892. eCollection 2022.
The purpose of this study was to demonstrate the pharmacodynamic material basis and molecular mechanism of pilose antler (PA) in the prevention and treatment of osteoporosis (OP) by the method of network pharmacology.
First, the active components of PA were screened by BATMAN-TCM database, and the component targets were obtained from the SwissTargetPrediction online tool. Moreover, the relevant target genes of OP were obtained by searching the DisGeNET database. Second, the Venn diagram was drawn to obtain the PA-OP common targets, and the protein-protein interaction (PPI) network and drug-component-target (D-C-T) network were constructed by Cytoscape software. Finally, the GO functional annotation and KEGG pathway enrichment analysis of common targets were performed using the Metascape online tool.
82 common targets were identified by generating a Venn diagram. The PPI network of 82 common targets indicated that the top 5 nodal targets, including PIK3CA, MAPK1, ESR1, AKT1, and SRC, were strongly associated with other proteins. The D-C-T network suggested that the active components with high degree of connectivity include Prostaglandin E1, 17-Beta-Estradiol, Alpha-Estradiol, and Estrone. Furthermore, the GO enrichment analysis revealed that the biological process categories were dominated by response to peptide, cellular response to lipid, regulation of MAPK cascade, and so on. Additionally, the KEGG pathway analysis indicated the estrogen signaling pathway, osteoclast differentiation, and HIF-1 signaling pathway might have critical effects on the development of OP.
The study shows that PA has the characteristics of multi-component, multi-target, and multi-pathway in treating osteoporosis.
本研究旨在采用网络药理学方法,阐明鹿茸防治骨质疏松症的药效物质基础及分子机制。
首先,利用 BATMAN-TCM 数据库筛选鹿茸的活性成分,再通过 SwissTargetPrediction 在线工具获取成分靶点;然后,从 DisGeNET 数据库检索骨质疏松症的相关靶点。其次,通过绘制 Venn 图获取鹿茸-骨质疏松症的共同靶点,并用 Cytoscape 软件构建蛋白质-蛋白质相互作用(PPI)网络和药物-成分-靶点(D-C-T)网络。最后,利用 Metascape 在线工具对共同靶点进行 GO 功能注释和 KEGG 通路富集分析。
通过生成 Venn 图共鉴定出 82 个共同靶点。82 个共同靶点的 PPI 网络显示,前 5 个节点靶点(PIK3CA、MAPK1、ESR1、AKT1 和 SRC)与其他蛋白的关联较强。D-C-T 网络提示,连接度较高的活性成分包括前列腺素 E1、17-β-雌二醇、α-雌二醇和雌酮。GO 富集分析表明,生物过程主要集中在对肽的反应、细胞对脂质的反应、MAPK 级联的调节等。KEGG 通路分析表明,雌激素信号通路、破骨细胞分化和 HIF-1 信号通路可能对骨质疏松症的发生发展具有关键作用。
本研究表明,鹿茸在治疗骨质疏松症方面具有多成分、多靶点、多途径的特点。