Gu Jin-Yu, Li Fa-Jie, Hou Cheng-Zhi, Zhang Yue, Bai Zi-Xing, Zhang Qing
Department of Orthopaedic, The Hospital of Xi Yuan Beijing, China.
Department of Orthopaedic, The Hospital of Wang Jing, China Academy of Chinese Medical Sciences Beijing, China.
Am J Transl Res. 2023 Aug 15;15(8):5071-5084. eCollection 2023.
Icarin's mechanism of action in osteoarthritis (OA) was explored using network pharmacology and the GEO database, and then further validated using molecular docking.
GEO database using network pharmacology identified differential genes in OA based on Icariin's possible targets predicted by pharmmapper database. Combining the differentially expressed genes in OA with the OA-related targets, the overlapping targets were removed. In order to determine what Icariin's core targets are for treating OA, PPI network analysis was performed using OA-related targets and possible Icariin targets. Furthermore, molecular docking was used to verify the chemical's binding to the targets. Final steps included Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. Cytoscape was used to construct a network of compound-target-pathway-disease.
Protein-protein interactions between overlapping targets revealed 151 intersection targets based on a network analysis. The top ten targets with the highest enrichment scores were SRC, MAPK1, HSP90AA1, AKT1, PTPN11, ESR1, EGFR, RhoA, JAK2, and MAPK14. KEGG enrichment analysis showed that the pathways at which Icariin intervention occurs include the OA including FOXO signaling pathway, and estrogen signaling pathway. The GO analysis result showed that various biologic processes such as proteolysis, angiogenesis, innate immune response, and positive regulation of inflammatory response were involved in treatment. Molecular docking analysis confirmed that Icariin could bind well to the targets through intermolecular forces.
With its multi-targeting and multi-pathway characteristics, Icariin is a promising candidate drug for treating OA.
运用网络药理学和基因表达综合数据库(GEO数据库)探究淫羊藿苷在骨关节炎(OA)中的作用机制,随后通过分子对接进一步验证。
利用网络药理学的GEO数据库,基于药靶预测数据库预测的淫羊藿苷可能靶点,鉴定OA中的差异基因。将OA中的差异表达基因与OA相关靶点相结合,去除重叠靶点。为确定淫羊藿苷治疗OA的核心靶点,使用OA相关靶点和淫羊藿苷可能靶点进行蛋白质-蛋白质相互作用(PPI)网络分析。此外,运用分子对接验证该化合物与靶点的结合。最后步骤包括基因本体(GO)富集分析和京都基因与基因组百科全书(KEGG)通路富集分析。使用Cytoscape构建化合物-靶点-通路-疾病网络。
基于网络分析,重叠靶点之间的蛋白质-蛋白质相互作用揭示了151个交集靶点。富集分数最高的前十个靶点为SRC、MAPK1、HSP90AA1、AKT1、PTPN11、ESR1、EGFR、RhoA、JAK2和MAPK14。KEGG富集分析表明,淫羊藿苷干预的通路包括OA相关的叉头框蛋白O(FOXO)信号通路和雌激素信号通路。GO分析结果显示,治疗涉及蛋白水解、血管生成、固有免疫应答和炎症反应的正调控等多种生物学过程。分子对接分析证实,淫羊藿苷可通过分子间作用力与靶点良好结合。
淫羊藿苷具有多靶点、多通路的特性,是一种有前景的治疗OA候选药物。