基于网络药理学的栀子-川芎药对抗抑郁实验研究
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1.石家庄铁路职业技术学院,石家庄 050000; 2.河北医科大学,石家庄 050000; 3.宁晋县中西结合医院检验科,河北 邢台 055550; 4.河北中医学院,石家庄 050000

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R-33

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Experimental Research on the Antidepressant Activity of Gardenia jasminoides Ellis-processed Ligusticum Based on Network Pharmacology
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1.Shijiazhuang Institute of Railway Technology, Shijiazhuang 050000, China. 2. Hebei medical university, Shijiazhuang 050000. 3. Laboratory Medicine, Ningjin Integrative Medicine Hospital, Xingtai 055550. 4. Hebei University of Chinese Medicine, Shijiazhuang 050000

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    摘要:

    目的 基于网络药理学研究栀子-川芎药对抗抑郁物质基础及作用机制,并使用 ICR( Institute of Cancer Research)小鼠进行栀子-川芎药对抗抑郁物质基础的初步测试。 方法 通过 web of science, CNKI, sciencedirect 等数据库,收集栀子-川芎药对治疗抑郁症的活性成分并根据类药性原则进行筛选。 使用 Swiss Target Prediction database 及 GeneCards 进行栀子-川芎药对抗抑郁作用靶点预测及筛选。 通过 String 数据库对筛选出的靶 点进行蛋白相互作用分析,并采用 cluego 软件对关键抗抑郁作用靶点进行信号通路的富集分析。 在此基础上构建 栀子-川芎药对抗抑郁活性成分-作用靶点-信号通路网络,并通过 Cytoscape 3. 7. 0 软件对其进行拓扑分析。 根据 分析结果,对栀子-川芎抗抑郁靶标网络中筛选出的排名前四位的化合物进行 ICR 小鼠抗抑郁活性初步测试。 结果 基于 Cytoscape 3. 7. 0 软件的分析结果,发现栀子-川芎药对抗抑郁的活性成分主要为 4-methoxyl-phenethyl- butyl ether,jasminoside J,Gardenal-I 和丁基苯酞,主要作用靶点为 COMT、HTR1A、DRD2、SLC6A4、SLC6A3、MAOA、 GRM5、DRD4、DRD3、HTR2A、HTR3A、GRIA1、APP、HTR1B 和 GRM1 等,主要信号通路为 Serotonergic synapse 和 Dopaminergic synapse。 动物实验表明,与空白组相比,阳性对照组、丁基苯酞及 Gardenal-I 中、高剂量组均能显著性 减少不动时间,4-methoxyl-phenethyl-butyl ether 高剂量组能减少不动时间,进一步验证了丁基苯酞、Gardenal-I,4- methoxyl-phenethyl-butyl ether 具有一定的抗抑郁活性,而 jasminoside J 组未能明显减少不动时间,显示无抗抑郁活 性。 结论 基于网络药理学预测及动物实验初步验证,栀子-川芎药对抗抑郁的物质基础为丁基苯酞、Gardenal-I, 4-methoxyl-phenethyl-butyl ether,此实验为进一步研究栀子-川芎药对抗抑郁的作用机制和筛选抗抑郁新药奠定基础。

    Abstract:

    Objective Objective Based on the network pharmacology approach, this paper aimed to study the useful material base and functioning mechanism of Gardenia jasminoides Ellis-processed Ligusticum for the treatment of depression. Their antidepressant effects were initially tested and verified using ICR( Institute of Cancer Research) mice. Methods Effective compounds of Gardenia jasminoides Ellis-processed Ligusticum wallichii were collected from the Web of Science, CNKI, and ScienceDirect Databases. Then, the chosen ingredients were further selected or screened according to their generic drug-like principle. The Swiss Target Prediction Database and GeneCards were used to predict and identify the target components with antidepressant activity. Furthermore, the String Database was used to annotate protein interactions, and ClueGO software was used to perform the enrichment analysis of concentrated signal passages for those key functioning targets of the antidepressant activity. Based on the above information, the “ ingredient-target-signal-pathway” network was constructed, and its topological analysis was conducted by Cytoscape 3. 7. 0 software. Based on the result of this analysis, the top 4 compounds were tested for their antidepressant effect in ICR mice. Results Based on Cytoscape 3. 7. 0 software, the active ingredients with antidepressant effects were 4-methoxyl-phenethyl-butyl ether, jasminoside J, Gardenal-I, and butylphthalide. The main effective targets were COMT, HTR1A, DRD 2, SLC6A4, SLC6A3, MAOA, GRM5, DRD4, DRD3, HTR2A, HTR3A, GRIA1, APP, HTR1B, and GRM1. The main pathways of antidepressants were serotonergic and dopaminergic synapses. Animal experiments showed that the positive control groups, the medium and high dose groups of butylphthalide and Gardenal-I, and the high dose groups of 4-methoxyl-phenethyl-butyl ether could significantly reduce the immobility time compared with the blank groups, which further verified the antidepressant activity of these ingredients. Jasminoside J could not reduce the immobility time, indicating that it did not show an antidepressant effect. Conclusions Based on network pharmacology and animal experiments, the active ingredients with antidepressant activity were 4- methoxyl-phenethyl-butyl etherGardenal-I, and butylphthalide, which provide references for further research.

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李筱楠,雍淇文,张 铭,姚文静,王佳豪,冯 强,王 娜,王俊霞,崔力剑.基于网络药理学的栀子-川芎药对抗抑郁实验研究[J].中国比较医学杂志,2020,30(5):47~53.

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  • 收稿日期:2019-08-12
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  • 在线发布日期: 2020-06-19
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