A network pharmacology approach to explore the potential targets underlying the effect of sinomenine on rheumatoid arthritis
A network pharmacology approach to explore the potential targets underlying the effect of sinomenine on rheumatoid arthritis
复制标题
网络药理学方法探索青藤碱治疗类风湿性关节炎的潜在靶点
DOI：
10.1016/j.intimp.2020.106201
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发表时间：
2020-03-01
影响因子：
5.6
通讯作者：
Mei Zhigang
中科院分区：
文献类型：
--
作者：
Guo Xiang;Ji Jinyu;Mei Zhigang
目标：为探索青藤碱（SIN）治疗类风湿关节炎（RA）的潜在作用靶点，采用网络药理学方法，对SIN及其药物作用靶点进行网络分析和实验验证。首先，从Pharmmapper、UniProt和GeneCards数据库中挖掘与SIN靶点和RA相关靶点预测相关的信息。其次，在Cytoscape软件中建立SIN-靶基因和SIN-RA靶基因网络，然后通过R软件收集每个组分的候选靶点。结果：对SIN的67个潜在靶点和RA的3797个相关靶点进行了网络分析，其中20个交叉靶点为RA的主要通路。此外，与三个以上基因相关的16个关键靶点被确定为关键基因。GO分析结果表明，经P值校正后，共鉴定出14个生物学过程、5个细胞组分和2个分子功能
Objective: To explore the potential targets underlying the effect of sinomenine (SIN) on rheumatoid arthritis (RA) by utilizing a network pharmacology approach.Methods: SIN and its drug targets were identified using network analysis followed by experimental validation. First, the Pharmmapper, UniProt and GeneCards databases were mined for information relevant to the prediction of SIN targets and RA-related targets. Second, the SIN-target gene and SIN-RA target gene networks were created in Cytoscape software followed by the collection of the candidate targets of each component by R software. Eventually, the key targets and enriched pathways were examined by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.Results: Sixty-seven potential targets of SIN and 3797 related targets involved in RA were subjected to network analysis, and the 20 intersection targets indicated the principal pathways linked to RA. Additionally, 16 key targets, which were linked to more than three genes, were determined to be crucial genes. GO analysis showed that 14 biological processes, 5 cellular components and 2 molecular functions were identified, when corrected by a P value