摘要
试验旨在基于网络药理学方法探讨槲皮素(quercetin)抗氧化(antioxidant)的作用机制,为进一步研究槲皮素在蛋鸡抗氧化方面的作用提供参考.在Herb2.0数据库中寻找槲皮素的有效成分和靶点,在Genecards数据库中寻找抗氧化靶点和靶蛋白互作网络(PPI),运用Metascape平台进行靶点GO功能富集和KEGG信号通路富集.结果显示,发掘槲皮素与抗氧化共同靶点122个,包括32个关键靶点,如CCND1、MAPK3、CASP3、HIF1A和VEGFA等.GO富集分析中基因的生物学过程(BP)有5 022条、分子功能(MF)有675个、细胞组成(CC)有421条;KEGG富集分析结果有250条通路.研究表明,槲皮素主要通过调节癌症相关通路、高级糖基化终末产物-受体(AGE-RAGE)信号通路、血脂和动脉粥样硬化等通路发挥抗氧化作用.
Abstract
The experiment aims to explore the antioxidative mechanism of quercetin based on network pharmacology methods,providing a reference for further research on the antioxidative effects of quercetin in laying hens.Search for the active ingredients and targets of quercetin in the Herb2.0 database,identify antioxidant targets and protein-protein interaction networks(PPI)in the Genecards database,and utilize the Metascape platform for target gene GO functional enrichment and KEGG pathway enrichment.The results showed that quercetin shares 122 common targets with antioxidants,including 32 key targets such as CCND1,MAPK3,CASP3,HIF1A,and VEGFA.GO enrichment analysis included 5 022 biological processes(BP),675 molecular functions(MF),and 421 cellular components(CC).KEGG enrichment analysis identified 250 pathways.The study indicates that quercetin mainly exerts its antioxidant effects by modulating pathways related to cancer,the advanced glycation end products-receptor for advanced glycation end products(AGE-RAGE)signaling pathway,lipid metabolism,and atherosclerosis.
基金项目
山西省高等学校大学生创新创业训练计划(20201628)
国家科技期刊平台
NSTL
万方数据