Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
College of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
Curr Pharm Des. 2024;30(9):702-726. doi: 10.2174/0113816128289900240219104854.
Liujunzi Decoction (LJZD) is a potential clinical treatment for Breast Cancer (BC), but the active ingredients and mechanisms underlying its effectiveness remain unclear.
The study aimed to investigate the target gene of LJZD compatibility and the possible mechanism of action in the treatment of breast cancer by using network pharmacology and molecular docking.
Based on TCMSP, ETCM, and BATMAN database searching and screening to obtain the ingredients of LJZD, the related targets were obtained. Breast cancer-related targets were collected through GEO, Geencards, OMIM, and other databases, and drug-disease Venn diagrams were drawn by R. The PPI network map was constructed by using Cytoscape. The intersecting targets were imported into the STRING database, and the core targets were analyzed and screened. The intersected targets were analyzed by the DAVID database for GO and KEGG enrichment. AutoDock Vina and Gromacs were used for molecular docking and simulation of the core targets and active ingredients.
126 active ingredients of LJZD were obtained; 241 targets related to breast cancer were sought after screening, and 180 intersection targets were identified through Venn diagram analysis. The core targets were FOS and ESR1. KEGG enrichment analysis mainly involved PI3K/Akt, MAPK, and other signaling pathways.
This study has explored the possible targets and signaling pathways of LJZD in treating breast cancer through network pharmacology and bioinformatics analysis. Molecular docking and simulation have further validated the potential mechanism of action of LJZD in breast cancer treatment, providing essential experimental data for future studies.
六君子汤(LJZD)是治疗乳腺癌(BC)的一种有潜力的临床治疗方法,但它的有效成分和作用机制尚不清楚。
本研究旨在通过网络药理学和分子对接的方法,研究 LJZD 配伍的靶基因及治疗乳腺癌的可能作用机制。
基于 TCMSP、ETCM 和 BATMAN 数据库搜索和筛选,获取 LJZD 的成分,得到相关靶点。通过 GEO、Geencards、OMIM 等数据库收集乳腺癌相关靶点,绘制药-病 Venn 图。利用 Cytoscape 构建 PPI 网络图。将交集靶点导入 STRING 数据库进行分析筛选核心靶点。将交集靶点通过 DAVID 数据库进行 GO 和 KEGG 富集分析。使用 AutoDock Vina 和 Gromacs 对核心靶点和活性成分进行分子对接和模拟。
得到 LJZD 的 126 种活性成分;筛选后得到 241 个与乳腺癌相关的靶点,通过 Venn 图分析鉴定出 180 个交集靶点。核心靶点为 FOS 和 ESR1。KEGG 富集分析主要涉及 PI3K/Akt、MAPK 等信号通路。
本研究通过网络药理学和生物信息学分析,探讨了 LJZD 治疗乳腺癌的可能靶点和信号通路。分子对接和模拟进一步验证了 LJZD 治疗乳腺癌的潜在作用机制,为进一步研究提供了必要的实验数据。