基于网络药理学探讨独活-桑寄生治疗骨质疏松症的活性成分及生物学基础

目的运用网络药理学探究独活-桑寄生治疗骨质疏松症的活性成分,并通过筛选分析阐述独活-桑寄生治疗骨质疏松症的生物学基础。方法中药独活、桑寄生的活性成分及靶标通过中药数据库TCMSP、BATMAN检索出,骨质疏松症的预测靶点通过疾病靶点数据库Gene Cards检索出,将药物和疾病靶点进行映射,利用网络可视化软件Cytoscape3.6.0整理并筛选出核心成分及有效靶点,再将有效靶点通过Omic Share云平台进行GO富集分析、David6.8数据库进行KEGG通路富集分析。结果独活和桑寄生活性成分根据筛选条件得到核心成分共3个,分别为槲皮素、蛇床子素和补骨脂素;核心靶点24个,包括PTGS2、PTGS1、ESR1、ADRB2等;获得2 509条GO生物过程,包括对含氧化合物的反应、对有机物的反应、细胞对化学刺激的反应等; 193条分子功能,包括对酶结合、同一蛋白结合、信号受体结合等; 113条细胞组成,包括膜筏、膜微区、膜区等;获得KEGG信号通路12条,肿瘤坏死因子信号通路、低氧诱导因子-1信号通路、PI3K-Akt信号通路等为治疗骨质疏松症关键通路。结论独活和桑寄生配伍的多成分、多靶点、多通路通过抗炎和抗氧化的作用,从而治疗骨质疏松症,为中药复方治疗疾病的作用机制提供科学依据。

Study on the active components and biological basis of angelica pubescens radix - loranthaceae in the treatment of osteoporosis based on network pharmacology

Objective To explore the active components of angelica pubescens radix - loranthaceae in the treatment of osteoporosis using network pharmacology, and to explore the biological basis of angelica pubescens radix - loranthaceae in the treatment of osteoporosis through screening analysis. Methods The active components and targets of angelica pubescens radix - loranthaceae were screened from TCMSP and BATMAN database. The prediction targets of osteoporosis were retrieved from GeneCards database. The drugs and disease targets were mapped. The core components and effective targets were sorted out and screened by using the network visualization software Cytoscape 3.6.0. Then the effective targets were analyzed through OmicShare cloud platform GO enrichment analysis. KEGG pathway enrichment analysis was performed using David 6.8 database. Results According to the screening conditions, 3 core components of angelica pubescens radix - loranthaceae were obtained, including quercetin, osthol, and psoralen. There were 24 core targets, including PTGS2, PTGS1, ESR1, ADRB2, etc. There were 2509 Go biological processes, including response to oxygen-containing compound, response to organic substance, and cellular response to chemical stimulus, etc. There were 193 molecular functions, including enzyme binding, identical protein binding, signaling receptor binding, etc. There were 113 cell components, including membrane raft, membrane microdomain, membrane region, etc. Twelve KEGG signaling pathways were obtained. Tumor necrosis factor signaling pathway, hypoxia inducible factor-1 signaling pathway, and PI3K Akt signaling pathway were the key pathways for the treatment of osteoporosis. Conclusion The anti-inflammatory and anti-oxidation effects multi-component, multi-target for the treatment of osteoporosis with angelica pubescens radix - loranthaceae is through their multi-channel compatibility. This provides the scientific basis for the mechanism of action of traditional Chinese medicine compound in the treatment of diseases.