School of Stomatology, Southwest Medical University, Luzhou 646699, China.
Stomatology Department, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
Curr Pharm Des. 2024;30(34):2718-2735. doi: 10.2174/0113816128312694240712072959.
Oral mucositis is the most common and troublesome complication for cancer patients receiving radiotherapy or chemotherapy. Recent research has shown that , an important economic crop widely grown in China, has epithelial protective effects in several other organs. However, it is unknown whether or not can exert a beneficial effect on oral mucositis. Network pharmacology has been suggested to be applied in "multi-component-multi-target" functional food studies. The purpose of this study is to evaluate the effect of on oral mucositis through network pharmacology, molecular docking and experimental validation.
To explore the biological effects and molecular mechanisms of in the treatment of oral mucositis through network pharmacology and molecular docking combined with experimental validation.
Based on network pharmacology methods, we collected the active components and related targets of from public databases, as well as the targets related to oral mucositis. We mapped protein- protein interaction (PPI) networks, performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment, and constructed a 'components-disease-targets' network and 'components-pathways-targets' network using Cytoscape to further analyse the intrinsic molecular mechanisms of Lycium barbarum against oral mucositis. The affinity and stability predictions were performed using molecular docking strategies, and experiments were conducted to demonstrate the biological effects and possible mechanisms of against oral mucositis.
A network was established between 49 components and 61 OM targets. The main active compounds were quercetin, beta-carotene, palmatine, and cyanin. The predicted core targets were IL-6, RELA, TP53, TNF, IL10, CTNNB1, AKT1, CDKN1A, HIF1A and MYC. The enrichment analysis predicted that the therapeutic effect was mainly through the regulation of inflammation, apoptosis, and hypoxia response with the involvement of TNF and HIF pathways. Molecular docking results showed that key components bind well to the core targets. In both chemically and radiation-induced OM models, significantly promoted healing and reduced inflammation. The experimental verification showed targeted the key genes (IL-6, RELA, TP53, TNF, IL10, CTNNB1, AKT1, CDKN1A, HIF1A, and MYC) through regulating the HIF and TNF signaling pathways, which were validated using the RT-qPCR, immunofluorescence staining and western blotting assays.
In conclusion, the present study systematically demonstrated the possible therapeutic effects and mechanisms of on oral mucositis through network pharmacology analysis and experimental validation. The results showed that could promote healing and reduce the inflammatory response through TNF and HIF signaling pathways.
口腔黏膜炎是癌症患者在接受放疗或化疗时最常见和最麻烦的并发症。最近的研究表明,在中国广泛种植的重要经济作物枸杞具有保护其他几种器官上皮的作用。然而,目前尚不清楚枸杞是否对口腔黏膜炎有有益的作用。网络药理学已被建议应用于“多成分-多靶点”功能性食品的研究中。本研究旨在通过网络药理学、分子对接和实验验证来评估枸杞对口腔黏膜炎的作用。
通过网络药理学和分子对接结合实验验证,探讨枸杞治疗口腔黏膜炎的生物学效应和分子机制。
基于网络药理学方法,从公共数据库中收集枸杞的活性成分和相关靶点,以及与口腔黏膜炎相关的靶点。我们绘制了蛋白质-蛋白质相互作用(PPI)网络,进行了基因本体(GO)和京都基因与基因组百科全书(KEGG)功能富集分析,并使用 Cytoscape 构建了“成分-疾病-靶点”网络和“成分-途径-靶点”网络,以进一步分析枸杞治疗口腔黏膜炎的内在分子机制。使用分子对接策略进行了亲和力和稳定性预测,并进行了实验以证明枸杞对口腔黏膜炎的生物学作用和可能的机制。
建立了 49 个成分和 61 个 OM 靶点之间的网络。主要的活性化合物是槲皮素、β-胡萝卜素、巴马汀和花青素。预测的核心靶点是 IL-6、RELA、TP53、TNF、IL10、CTNNB1、AKT1、CDKN1A、HIF1A 和 MYC。富集分析预测,治疗作用主要是通过调节炎症、凋亡和缺氧反应,涉及 TNF 和 HIF 途径。分子对接结果表明,关键成分与核心靶点结合良好。在化学和放射诱导的 OM 模型中,枸杞均显著促进愈合,减轻炎症。实验验证表明,枸杞通过调节 HIF 和 TNF 信号通路,靶向关键基因(IL-6、RELA、TP53、TNF、IL10、CTNNB1、AKT1、CDKN1A、HIF1A 和 MYC),这通过 RT-qPCR、免疫荧光染色和 Western blot 检测得到验证。
总之,本研究通过网络药理学分析和实验验证系统地证明了枸杞治疗口腔黏膜炎的可能治疗效果和机制。结果表明,枸杞可通过 TNF 和 HIF 信号通路促进愈合,减轻炎症反应。