Wu Chengfu, Zheng Wenli, Zhang Jifa, He Xingping
Ophthalmology Department, Affiliated Hospital of Panzhihua University, Panzhihua 617099, Sichuan, China.
Oncology Department, Panzhihua Central Hospital, Panzhihua 617099, Sichuan, China.
Evid Based Complement Alternat Med. 2022 Jul 19;2022:2407462. doi: 10.1155/2022/2407462. eCollection 2022.
Curcumin shows great effects of inhibiting tumor cell proliferation, inducing apoptosis, inhibiting tumor metastasis, and inhibiting angiogenesis on a variety of tumors. However, the biological activity and possible mechanisms of curcumin in the treatment of retinoblastoma have not been fully elucidated. This study explored the potential therapeutic targets and pharmacological mechanisms of curcumin against retinoblastoma based on network pharmacology and molecular docking.
The genes corresponding to curcumin targets were screened from the HERB, PharmMapper, and SwissTargetPrediction databases. Protein-protein interaction (PPI) networks were constructed for the intersecting targets in the STRING database. Cytoscape 3.7.0 was used for network topology analysis and screening of important targets. 4.1.0 software was used for Gene Ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of intersection targets. The molecular structures of curcumin and core target proteins were obtained from PubChem and PDB databases, and the two were preprocessed and molecularly docked using AutoDockTools and PyMOL software.
Through network data mining, we obtained 504 curcumin targets and 966 retinoblastoma disease targets, and 44 potential targets for curcumin treatment of retinoblastoma were obtained by mapping. Three core targets were obtained from network topology analysis. 462 biological processes, 21 cellular compositions, and 34 molecular functions were obtained by GO enrichment analysis. KEGG pathway analysis revealed 94 signaling pathways, mainly involving chemical carcinogenesis-receptor activation, chemical carcinogenesis-reactive oxygen species, viral carcinogenesis, Th17 cell differentiation, etc. The molecular docking results indicated that the binding energy of curcumin to the core targets was less than 0 kJ mol, among which the binding energy of RB1 and CDKN2A to curcumin was less than -5 kJ mol with significant binding activity.
Based on molecular docking technology and network pharmacology, we initially revealed that curcumin exerts its therapeutic effects on retinoblastoma with multitarget, multipathway, and multibiological functions, providing a theoretical basis for subsequent studies.
姜黄素对多种肿瘤具有抑制肿瘤细胞增殖、诱导凋亡、抑制肿瘤转移和抑制血管生成等显著作用。然而,姜黄素在视网膜母细胞瘤治疗中的生物学活性及可能机制尚未完全阐明。本研究基于网络药理学和分子对接技术,探索姜黄素抗视网膜母细胞瘤的潜在治疗靶点和药理机制。
从HERB、PharmMapper和SwissTargetPrediction数据库中筛选姜黄素靶点对应的基因。在STRING数据库中为交集靶点构建蛋白质-蛋白质相互作用(PPI)网络。使用Cytoscape 3.7.0进行网络拓扑分析并筛选重要靶点。使用4.1.0软件对交集靶点进行基因本体(GO)功能富集和京都基因与基因组百科全书(KEGG)富集分析。从PubChem和PDB数据库中获取姜黄素和核心靶蛋白的分子结构,并使用AutoDockTools和PyMOL软件对二者进行预处理和分子对接。
通过网络数据挖掘,我们获得了504个姜黄素靶点和966个视网膜母细胞瘤疾病靶点,经映射得到44个姜黄素治疗视网膜母细胞瘤的潜在靶点。通过网络拓扑分析获得了3个核心靶点。经GO富集分析得到462个生物学过程、21个细胞成分和34个分子功能。KEGG通路分析揭示了94条信号通路,主要涉及化学致癌作用-受体激活、化学致癌作用-活性氧、病毒致癌作用、Th17细胞分化等。分子对接结果表明,姜黄素与核心靶点的结合能小于0 kJ/mol,其中RB1和CDKN2A与姜黄素的结合能小于-5 kJ/mol,具有显著的结合活性。
基于分子对接技术和网络药理学,我们初步揭示了姜黄素通过多靶点、多途径和多生物学功能对视网膜母细胞瘤发挥治疗作用,为后续研究提供了理论依据。