基于网络药理学的灵归减肝汤治疗肥胖的作用机制研究

IF 0.9 4区 材料科学
Chunmei Liu, Li Zhang, Yubin Yang
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引用次数: 0

摘要

本研究采用网络药理学方法研究灵归减肝汤对肥胖的治疗作用。利用TCMSP平台根据药物ADME性质选择LGZGD的有效成分和靶点,形成成分-靶点网络。从不同的数据库中确定了肥胖相关的靶点,并构建了一个全球网络来分析成分、靶点和疾病相关蛋白之间的相互作用。使用G: profiler进行基因本体(GO)和京都基因与基因组百科全书(KEGG)途径富集分析。利用AutoDockTools进行分子对接,验证了关键活性成分与核心靶点的结合。该研究确定了LGZGD的120种有效成分和201个靶点,其中84个靶点与肥胖有关。氧化石墨烯分析揭示了与肥胖相关的各种生物过程、细胞成分和分子功能,包括脂质反应和细胞对化学刺激的反应。KEGG通路分析强调了糖尿病并发症中的AGE-RAGE信号通路、癌症通路、IL-17信号通路和神经活性配体-受体相互作用信号通路。分子对接证实,LGZGD的核心活性成分与肥胖治疗中涉及的关键靶点紧密结合。本研究初步了解了LGZGD治疗肥胖的药理基础和作用机制,为其传统应用提供了支持,并为进一步研究提供了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanisms of Linggui Zhugan Decoction in the Treatment of Obesity Based on Network Pharmacology
This study employed network pharmacology to investigate how Linggui Zhugan Decoction (LGZGD) may treat obesity. The TCMSP platform was used to select active ingredients and targets of LGZGD based on drug ADME properties, forming a component-target network. Obesity-related targets were identified from various databases, and a global network was constructed to analyze interactions between components, targets, and disease-related proteins. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using G: profiler. Molecular docking using AutoDockTools validated the binding of key active components to core targets. The study identified 120 active ingredients and 201 targets for LGZGD, with 84 targets related to obesity. GO analysis revealed various biological processes, cellular components, and molecular functions associated with obesity, including lipid response and cellular response to chemical stimuli. KEGG pathway analysis highlighted signaling pathways such as AGE-RAGE signaling in diabetic complications, cancer pathways, IL-17 signaling, and neuroactive ligand-receptor interaction signaling. Molecular docking confirmed that the core active components of LGZGD tightly bind to key targets involved in obesity treatment. This study provides a preliminary understanding of the pharmacological basis and efficacy mechanism of LGZGD in treating obesity, supporting its traditional use and offering a theoretical foundation for further research.
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来源期刊
Science of Advanced Materials
Science of Advanced Materials NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
自引率
11.10%
发文量
98
审稿时长
4.4 months
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