Mechanism of Tongguan Pills in treatment for tubal factor infertility based on bioinformatics combined with network pharmacology and molecular docking

Xiuwei LYU; Yi ZHANG; Jilin KUANG

doi:10.16016/j.2097-0927.202203225

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Mechanism of Tongguan Pills in treatment for tubal factor infertility based on bioinformatics combined with network pharmacology and molecular docking

Biomedical Engineering | 更新时间：2026-01-09

- Mechanism of Tongguan Pills in treatment for tubal factor infertility based on bioinformatics combined with network pharmacology and molecular docking
- Journal of Army Medical University Vol. 44, Issue 19, Pages: 2017-2024(2022)
- 作者机构：
  
  1.100088 北京，火箭军特色医学中心中医科
  2.410005 长沙，湖南中医药大学第二附属医院妇科
- 作者简介：
- 基金信息：
  
  the Natural Science Foundation of Hunan Province(2017JJ2209);the Project of Scientific Research Plan for Traditional Chinese Medicine of Hunan Province(2020011)
- DOI：10.16016/j.2097-0927.202203225
  CLC： R289.5;R319;R711.6
- Received：25 March 2022，
  
  Revised：2022-04-07，
  
  Published：15 October 2022
- 稿件说明：
移动端阅览
Xiuwei LYU, Yi ZHANG, Jilin KUANG. Mechanism of Tongguan Pills in treatment for tubal factor infertility based on bioinformatics combined with network pharmacology and molecular docking[J]. Journal of Army Medical University, 2022, 44(19): 2017-2024.
DOI：

Xiuwei LYU, Yi ZHANG, Jilin KUANG. Mechanism of Tongguan Pills in treatment for tubal factor infertility based on bioinformatics combined with network pharmacology and molecular docking[J]. Journal of Army Medical University, 2022, 44(19): 2017-2024. DOI： 10.16016/j.2097-0927.202203225.

摘要

目的

基于生物信息学联合网络药理学探讨通管丸治疗输卵管性不孕的作用机制。

方法

通过TCMSP、HERB数据库等收集通管丸的活性成分及相应靶点；GEO、OMIM、RefSeqGene、Genecards数据库搜集获得输卵管性不孕基因表达谱；R软件预测通管丸治疗疾病的潜在作用基因；Cytoscape软件、string数据库构建网络图并得到核心靶点；将潜在作用基因进行GO、KEGG分析；核心靶点与对应的活性成分进行分子对接。

结果

通管丸存在243个活性成分，33个治疗疾病的靶点，核心靶点为TP53、EGF、VEGFA、IL1B、JUN、EGFR、ERBB2；GO富集分析得到1 581条生物过程，39条KEGG富集分析筛选出39条通道，如局部粘连、雌激素通路、HIF-1信号通路等，核心靶点与药对成分结合性好。

结论

通管丸可通过多靶点、多通路治疗输卵管性不孕。

Abstract

Objective

To investigate the mechanism of Tongguan Pills in the treatment for tubal factor infertility based on bioinformatics combined with network pharmacology.

Methods

The active components and corresponding targets of Tongguan Pills were collected through TCMSP and HERB databases. The gene expression profiles of tubal factor infertility were searched from GEO

OMIM

RefSeqGene and Genecards databases. Then R software was used to predict the potential action targets of the herb on tubal factor infertility

and Cytoscape software and String database were adopted to build the network diagram and obtain the core targets. The results were subsequently analyzed with GO biological process and KEGG pathway. Finally

molecular docking of the core targets to the active components was carried out.

Results

A total of 243 active components were found in the Tongguan Pill

and 33 targets were identified for the treatment of tubal factor infertility

with TP53

EGF

VEGFA

IL1B

JUN

EGFR

and ERBB2 as the core targets; 1 581 biological processes were obtained by GO analysis

and 39 pathways were screened out by KEGG analysis

such as local adhesion

estrogen pathway

and HIF-1 signaling pathway. Molecular docking suggested that the core targets were well bound to the active components of the herbs.

Conclusion

Tongguan Pills can treat tubal factor infertility through a multi-target and multi-channel way.

关键词

Keywords

references

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