利用网络药理学探究淫羊藿治疗性功能障碍的药理作用机制

doi:10.5246/jcps.2023.05.032

中国药学(英文版) ›› 2023, Vol. 32 ›› Issue (5): 379-391.DOI: 10.5246/jcps.2023.05.032

利用网络药理学探究淫羊藿治疗性功能障碍的药理作用机制

沈广志¹, 崔新刚², 那志敏³, 邹玉龙⁴^,^*(), 邹桂华¹^,^*()

1. 牡丹江医学院药学院, 黑龙江牡丹江 157011
2. 牡丹江医学院公共卫生学院, 黑龙江牡丹江 157011
3. 牡丹江市第一人民医院呼吸科, 黑龙江牡丹江 157011
4. 牡丹江医学院附属红旗医院, 黑龙江牡丹江 157011

收稿日期:2022-10-28 修回日期:2022-11-15 接受日期:2022-12-18 出版日期:2023-06-02 发布日期:2023-06-02
通讯作者: 邹玉龙, 邹桂华
作者简介:
+ Tel.: +86-453-6984687, E-mail: zgh99763394@163.com
+ E-mail: zou_yl_2020@163.com
基金资助:
Basic Scientific Research Operating Expenses of Heilongjiang Provincial Universities?(Grant No. 2021-KYYWF-0485).

A network pharmacology approach to explore the pharmacological mechanism of Epimedium brevicornum in sexual dysfunction

Guangzhi Shen¹, Xingang Cui², Zhimin Na³, Yulong Zou⁴^,^*(), Guihua Zou¹^,^*()

1 School of Pharmacy, Mudanjiang Medical University, Mudanjiang 157011, Heilongjiang, China
2 School of Public Health, Mudanjiang Medical University, Mudanjiang 157011, Heilongjiang, China
3 Respiratory department of Mudanjiang first people’s Hospital, Mudanjiang 157011, Heilongjiang, China
4 Mudanjiang Medical University Affiliated Hongqi Hospital, Mudanjiang 157011, Heilongjiang, China

Received:2022-10-28 Revised:2022-11-15 Accepted:2022-12-18 Online:2023-06-02 Published:2023-06-02
Contact: Yulong Zou, Guihua Zou

摘要/Abstract

摘要：

本研究利用网络药理学技术和方法分析淫羊藿治疗性功能障碍的活性组分, 并对潜在的靶点与机制进行整合与分析。利用中药系统药理数据库和分析平台(TCMSP)获取淫羊藿的化学成分及活性成分的作用靶点; 运用OMIM数据库获取与性功能障碍相关的靶点; Cytoscape 3.7.1构建药物-活性成分-靶点基因-疾病网络图; STRING数据库构建靶点蛋白互作网络; WebGestalt数据库对核心靶点基因进行基因本体(GO)及京都基因与基因组百科全书(KEGG)相关通路富集分析。该研究从淫羊藿中筛选得到21种有效成分, 从103个疾病目标中筛选得到67个与之相对应的作用靶点。研究结果初步验证了淫羊藿治疗性功能障碍多成分、多靶点、多途径的作用特点, 为淫羊藿治疗性功能障碍的进一步研究提供参考。

关键词: 淫羊藿, 网络药理学, 性功能障碍, 成分-靶点

Abstract:

Network pharmacology is a research method for designing multi-target drug molecules based on the theory of systems biology and network analysis of biological systems by selecting specific signal nodes to show the multi-component and multi-target attributes of traditional Chinese medicine (TCM). In the present study, we predicted the mechanism of Epimedium brevicornum (EB) in the treatment of sexual dysfunction (SD) using network pharmacology. Moreover, chemical constituents of EB were queried using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) server, and the targets related to SD were obtained using Genecards and Online Mendelian Inheritance in Man (OMIM). An intersection of genes was discovered. Subsequently, protein-protein interaction (PPI) networks were constructed with Cytoscape 3.7.1 software and the STRING database. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using WebGestalt. A total of 21 active drug ingredients were identified in the TCMSP database. Besides, 1003 disease targets from the GeneCards and OMIM databases were screened. Furthermore, 67 common targets for drugs and diseases were obtained using the Venny online tools. The results of this study preliminarily verified the basic pharmacological activity of EB in the treatment of SD, laying a foundation for elucidating its mechanism of action.

Key words: Epimedium brevicornum, Network pharmacology, Sexual dysfunctions, Component-target

Supporting:

沈广志, 崔新刚, 那志敏, 邹玉龙, 邹桂华. 利用网络药理学探究淫羊藿治疗性功能障碍的药理作用机制[J]. 中国药学(英文版), 2023, 32(5): 379-391.

Guangzhi Shen, Xingang Cui, Zhimin Na, Yulong Zou, Guihua Zou. A network pharmacology approach to explore the pharmacological mechanism of Epimedium brevicornum in sexual dysfunction[J]. Journal of Chinese Pharmaceutical Sciences, 2023, 32(5): 379-391.

图/表 13

Table 1. Active compounds of EB.

Table 2. Targets of EB.

Figure 1. Compound-target network. Red arrows represent active ingredients in Epimedium. Red circles represent targets of Epimedium. Edges represent the interaction between ingredients and targets.

Table 3. Topology characteristics of hub nodes from the compound network.

Figure 2. Venn diagram of disease and drug targets.

Figure 3. Drug-compound-target-disease network map.

Table 4. Topology characteristics of the drug-compound-target-disease network.

Figure 4. (a) PPI network; (b) the top 10 degrees of genes; (c) the values of the target degree.

Figure 5. GO map of putative target genes. (a) Biological process categories; (b) cellular component categories; (c) molecular function categories.

Table 5. Biological process categories.

Table 6. Cellular component categories.

Table 7. Molecular function categories.

Figure 6. KEGG pathway analysis of putative target genes.

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利用网络药理学探究淫羊藿治疗性功能障碍的药理作用机制

A network pharmacology approach to explore the pharmacological mechanism of Epimedium brevicornum in sexual dysfunction

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