Department of Bioengineering and Biotechnology, Birla Institute of Technology(BIT), Mesra, Ranch, Jharkhand, India.
Group Polyphenol-BIT, Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India.
Lupus. 2024 Oct;33(11):1155-1167. doi: 10.1177/09612033241273074. Epub 2024 Aug 13.
Systemic lupus erythematosus is a chronic autoimmune inflammatory disease characterized by multiple symptoms. The phenolic acids and other flavonoids in have anti-oxidants, anti-inflammatory, and immunomodulatory activities that are essential for managing SLE through natural sources. This study employs network pharmacology to unveil the multi-target and multi-pathway mechanisms of as a complementary therapy. The findings are validated through molecular modeling, which includes molecular docking followed by a molecular dynamics study.
Active compounds and targets of SLE were obtained from IMPPAT, KNApAcKFamily and SwissTargetPrediction databases. SLE-related targets were retrieved from GeneCards and OMIM databases. A protein-protein interaction (PPI) network was built to screen out the core targets using Cytoscape software. ShinyGO was used for GO and KEGG pathway enrichment analyses. Interactions between potential targets and active compounds were assessed by molecular docking and molecular dynamics simulation study.
In total, 12 active compounds and 1190 targets of were identified. A network analysis of the PPI network revealed 10 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of are mediated mainly by AGE-RAGE and other associated signalling pathways. Molecular docking indicated favourable binding affinities, particularly leucocianidol exhibiting less than -4.5 kcal/mol for all 10 targets. Subsequent molecular dynamics simulations of the leucocianidol-ESR1 complex aimed to elucidate the optimal binding complex's stability and flexibility.
Our study unveiled the potential therapeutic mechanism of in managing SLE. These findings provide insights for subsequent experimental validation and open up new avenues for further research in this field.
系统性红斑狼疮是一种慢性自身免疫性炎症性疾病,其特征为多种症状。 的酚酸和其他类黄酮具有抗氧化、抗炎和免疫调节活性,对于通过天然来源管理系统性红斑狼疮至关重要。本研究采用网络药理学揭示 作为补充治疗的多靶标和多途径机制。通过分子建模(包括分子对接和分子动力学研究)验证了这些发现。
从 IMPPAT、KNApAcKFamily 和 SwissTargetPrediction 数据库中获取系统性红斑狼疮的活性化合物和靶点;从 GeneCards 和 OMIM 数据库中检索与系统性红斑狼疮相关的靶点;使用 Cytoscape 软件构建蛋白质-蛋白质相互作用(PPI)网络,筛选出核心靶点;使用 ShinyGO 进行 GO 和 KEGG 通路富集分析;通过分子对接和分子动力学模拟研究评估潜在靶点和活性化合物之间的相互作用。
共鉴定出 12 种 中的活性化合物和 1190 个靶点。PPI 网络的网络分析显示出 10 个核心靶点。GO 和 KEGG 通路富集分析表明, 的作用主要通过 AGE-RAGE 和其他相关信号通路介导。分子对接表明,所有 10 个靶标对亮菌甲素的结合亲和力均较好,尤其亮菌甲素的结合自由能均小于-4.5 kcal/mol。随后对亮菌甲素-ESR1 复合物进行分子动力学模拟,旨在阐明最佳结合复合物的稳定性和灵活性。
本研究揭示了 治疗系统性红斑狼疮的潜在治疗机制。这些发现为后续的实验验证提供了思路,并为该领域的进一步研究开辟了新的途径。