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基于网络药理学预测羌活二黄汤治疗类风湿关节炎的作用机制

Network-based pharmacology to predict the mechanism of qianghuo erhuang decoction in the treatment of rheumatoid arthritis.

作者信息

Chen Xuemeng, Zou Qinghua, Zhong Bing, Wang Yong

机构信息

Department of Traditional Chinese Medicine, Southwest Hospital, the Third Military Medical University (Army Medical University), Chongqing (400038), China.

出版信息

Afr Health Sci. 2024 Dec;24(4):286-298. doi: 10.4314/ahs.v24i4.37.

DOI:10.4314/ahs.v24i4.37
PMID:40190499
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11970153/
Abstract

BACKGROUND

To investigate the mechanisms of Qianghuo Erhuang Decoction (QED) in the treatment of rheumatoid arthritis (RA), we performed compounds, targets prediction and network analysis using a network pharmacology method.

METHODOLOGY

We collected active ingredients and targets of QED according to the database of Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP) and selected therapeutic targets on RA. "drug-ingredient-target" network was made for the intersecting genes. The STRING database was used for constructing a protein-protein interaction network (PPI) for the intersection genes, and R version 4.1.2 software was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis.

RESULTS

We found that there were 141 main active ingredients in QED, of which the main core active ingredients were: β-sitosterol, stigmasterol, baicalein, wogonin, kaempferol, etc., involving 166 RA genes. GO enrichment analysis results showed that QED involved 2229 biological processes, 78 cell components and 212 molecular functions. QED might interfere and treat RA through lipid and atherosclerosis, cancer pathways, PI3K-Akt, AGE-RAGE, IL-17, TNF, as well as HIF-1 signaling pathways.

CONCLUSIONS

QED may treat RA by regulating inflammation-related signaling pathways, angiogenesis signaling pathways, and reducing the expression of inflammatory factors.

摘要

背景

为探究羌活二黄汤（QED）治疗类风湿关节炎（RA）的作用机制，我们采用网络药理学方法进行了化合物、靶点预测及网络分析。

方法

依据中药系统药理学数据库与分析平台（TCMSP）数据库收集QED的活性成分及靶点，并筛选出RA的治疗靶点。针对交集基因构建“药物-成分-靶点”网络。利用STRING数据库构建交集基因的蛋白质-蛋白质相互作用网络（PPI），并使用R 4.1.2版本软件进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）富集分析。

结果

我们发现QED中有141种主要活性成分，其中主要核心活性成分有：β-谷甾醇、豆甾醇、黄芩素、汉黄芩素、山奈酚等，涉及166个RA相关基因。GO富集分析结果显示，QED涉及2229个生物学过程、78个细胞成分和212个分子功能。QED可能通过脂质与动脉粥样硬化、癌症通路、PI3K-Akt、AGE-RAGE、IL-17、TNF以及HIF-1信号通路来干预和治疗RA。

结论

QED可能通过调节炎症相关信号通路、血管生成信号通路以及降低炎症因子表达来治疗RA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/6ee6d9c3b22f/AFHS2404-0286Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/28a06dccbb4d/AFHS2404-0286Fig1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/6778e39c31de/AFHS2404-0286Fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/6ee6d9c3b22f/AFHS2404-0286Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/28a06dccbb4d/AFHS2404-0286Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/5419acf8d779/AFHS2404-0286Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/87bd2ac638cd/AFHS2404-0286Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/e1a647e8518a/AFHS2404-0286Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb99/11970153/6778e39c31de/AFHS2404-0286Fig5.jpg
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