Computational Modeling of Network Topology and Molecular Dynamics for the Assessment of Therapeutic Potential of the Astragalus Membranaceus-Salvia Miltiorrhiza Drug Pair in the Treatment of Chronic Kidney and Heart Failure.
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引用次数: 0
Abstract
Introduction: The bioactive components of Astragalus membranaceus and Salvia miltiorrhiza improved cardiac and renal function in chronic heart failure (CHF) and chronic kidney disease (CKD), respectively. However, the common regulating molecular mechanisms remain unclear. The aim of this study was to investigate these mechanisms using bioinformatics, network topology, and molecular dynamics simulation techniques.
Methods: The active components and target sites of A. membranaceus and S. miltiorrhiza were obtained from the Traditional Chinese Medicine Systems Pharmacology database. The targets of CKD and CHF were obtained from various databases for a protein-protein interaction analysis. The Gene Ontology (GO) function and Kyotoencyclopedia of genes and genomes (KEGG) pathway enrichment of intersection targets were analyzed by using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database. Molecular docking and dynamic simulations were conducted on the core ingredients and targets. The diagnostic efficiency of the key targets was evaluated by using receiver-operating characteristic (ROC) curves.
Results: A total of 70 active ingredients and 158 common targets were found. The top five core targets were AKT1, STAT3, TP53, MAPK1, and RELA. The GO enrichment analysis included apoptosis and oxidative stress. The KEGG pathway enrichment results indicated that the drug pair regulated the AGE-receptor for AGE signaling pathway, fluid shear stress and atherosclerosis, and the IL-17 signaling pathway. Molecular docking and dynamic simulations confirmed that the core ingredients had good affinity and stability with the key targets. The ROC curves confirmed the accuracy of every key target for identifying CKD and CHF and demonstrated that combining them improves diagnosis.
Conclusion: The combination of A. membranaceus and S. miltiorrhiza proved effective for the treatment of CKD and CHF through various components, targets, and mechanisms. Moreover, it may predict the diagnostic value of key targets, providing a reference for clinical diagnostic applications.
黄芪和丹参的生物活性成分分别改善慢性心力衰竭(CHF)和慢性肾脏疾病(CKD)的心脏和肾脏功能。然而,共同的调控分子机制尚不清楚。本研究的目的是利用生物信息学、网络拓扑和分子动力学模拟技术来研究这些机制。方法:从中药系统药理学数据库中获取黄芪和丹参的有效成分和靶点。CKD和CHF的靶点从不同的数据库中获得,用于蛋白质-蛋白质相互作用分析。利用Database for Annotation, Visualization, and Integrated Discovery (DAVID)数据库对交叉靶点的基因本体(GO)功能和基因基因组京都百科全书(KEGG)途径富集进行了分析。对核心成分和靶点进行了分子对接和动态模拟。采用受试者工作特征(ROC)曲线评价关键指标的诊断效率。结果:共检出有效成分70种,共有靶点158个。前五大核心靶点分别是AKT1、STAT3、TP53、MAPK1和RELA。氧化石墨烯富集分析包括细胞凋亡和氧化应激。KEGG通路富集结果提示该药物对AGE受体调控AGE信号通路、流体剪切应力与动脉粥样硬化通路以及IL-17信号通路。分子对接和动力学模拟证实了核心成分与关键靶点具有良好的亲和性和稳定性。ROC曲线证实了识别CKD和CHF的每个关键指标的准确性,并表明两者结合可以提高诊断。结论:黄芪与丹参联用治疗慢性肾病和慢性心力衰竭具有多种成分、靶点和作用机制。并可预测关键靶点的诊断价值,为临床诊断应用提供参考。
期刊介绍:
The Iranian Journal of Kidney Diseases (IJKD), a peer-reviewed journal in English, is the official publication of the Iranian Society of Nephrology. The aim of the IJKD is the worldwide reflection of the knowledge produced by the scientists and clinicians in nephrology. Published quarterly, the IJKD provides a new platform for advancement of the field. The journal’s objective is to serve as a focal point for debates and exchange of knowledge and experience among researchers in a global context. Original papers, case reports, and invited reviews on all aspects of the kidney diseases, hypertension, dialysis, and transplantation will be covered by the IJKD. Research on the basic science, clinical practice, and socio-economics of renal health are all welcomed by the editors of the journal.