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  • EI
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  • 食品科學與工程領域高質量科技期刊分級目錄第一方陣T1
  • DOAJ
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  • 北大核心期刊
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  • 中國精品科技期刊
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中國精品科技期刊2020
陸夢柯,王梓琴,張春,等. 基于網絡藥理學與分子對接探討沙棘抗肥胖作用機制[J]. 食品工業科技,2024,45(6):1?11. doi: 10.13386/j.issn1002-0306.2023060160.
引用本文: 陸夢柯,王梓琴,張春,等. 基于網絡藥理學與分子對接探討沙棘抗肥胖作用機制[J]. 食品工業科技,2024,45(6):1?11. doi: 10.13386/j.issn1002-0306.2023060160.
LU Mengke, WANG Ziqin, ZHANG Chun, et al. Exploring the Mechanism of Hippophae Fructus Anti-obesity through Network Pharmacology and Molecular Docking[J]. Science and Technology of Food Industry, 2024, 45(6): 1?11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023060160.
Citation: LU Mengke, WANG Ziqin, ZHANG Chun, et al. Exploring the Mechanism of Hippophae Fructus Anti-obesity through Network Pharmacology and Molecular Docking[J]. Science and Technology of Food Industry, 2024, 45(6): 1?11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023060160.

基于網絡藥理學與分子對接探討沙棘抗肥胖作用機制

Exploring the Mechanism of Hippophae Fructus Anti-obesity through Network Pharmacology and Molecular Docking

  • 摘要: 目的:通過網絡藥理學和分子對接技術,探討沙棘抗肥胖的活性成分、靶點和作用機制,并驗證其體外抗肥胖效果。方法:使用TCMSP平臺檢索沙棘活性成分與靶點,收集疾病靶點,利用Venny 2.0.2得沙棘靶點與肥胖靶點的交集。通過STRING數據庫平臺建立藥物靶點-疾病靶蛋白相互作用(PPI)網絡。使用David數據庫對交集靶點進行分析,得到GO富集分析和KEGG通路分析結果。通過Cytoscape 3.9.1軟件構建沙棘成分-靶點-信號通路網絡圖。使用Autodock Dock 1.5.7和Pymol 2.2.0進行沙棘核心靶點與其成分的分子對接,并進行可視化處理。通過體外實驗驗證沙棘提取物的抗肥胖作用。結果:篩選得到33個沙棘活性成分,2820個疾病靶點和151個交集靶點。主要活性成分包括黃酮類、維生素類、甾醇類等,關鍵靶點涉及AKT1、TNF、IL6、TP53、VEGFA、CASP3等。KEGG通路富集分析得到惡性腫瘤通路、脂質與動脈粥樣硬化通路、AGE-RAGE信號通路等131條信號通路。分子對接結果表明核心靶點與其對應活性成分對接結果良好。體外實驗表明沙棘提取物具有抑制3T3-L1小鼠前脂肪細胞增殖的作用。結論:研究顯示沙棘具有多成分、多靶點、多通路協同發揮抗肥胖作用,為其臨床研究和產品開發提供了參考。

     

    Abstract: Objective: To investigate the active components, protein targets, and mechanisms underlying the anti-obesity effects of Hippophae fructus using network pharmacology and molecular docking techniques, and to validate its in vitro anti-obesity efficacy. Methods: The TCMSP platform was utilized to retrieve the active components and targets of Hippophae fructus, and disease targets were collected. Venny 2.0.2 was used to identify the intersection of targets between Hippophae fructus and obesity-related targets. The STRING database was used to establish a drug-target-disease protein interaction (PPI) network. The intersecting targets were analyzed using the David database to perform GO enrichment analysis and KEGG pathway analysis. Cytoscape 3.9.1 was used to construct a network diagram of the components of Hippophae fructus, anti-obesity targets, and related signaling pathways. Autodock Dock 1.5.7 and Pymol 2.2.0 were used to carry out molecular docking between the core targets of Hippophae fructus and its components, followed by visualization. The in vitro anti-obesity effect of Hippophae fructus extract was evaluated through cell experiments using 3T3-L1 cells. Results: A total of 33 active components, 2820 disease targets, and 151 intersection targets of Hippophae fructus were identified. The main active components included flavonoids, vitamins, and sterols, while key targets involved AKT1, TNF, IL6, TP53, VEGFA, CASP3, and others. KEGG pathway enrichment analysis revealed 131 signaling pathways, including those related to malignant tumors, lipid and atherosclerosis, and AGE-RAGE signaling. Molecular docking results demonstrated favorable binding interactions between the core targets and the corresponding active components of Hippophae fructus. The in vitro experiments indicated that Hippophae fructus extract exhibited inhibitory effects on the proliferation of 3T3-L1 pre-adipocytes. Conclusion: This study reveals that Hippophae fructus exerts anti-obesity effects through multiple components, targets, and pathways, providing valuable insights for its clinical research and product development.

     

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