Network pharmacology and molecular docking to scientifically validate the potential mechanism of Lonicerae japonicae flos in the clinical treatment of COVID-19

被引：4
作者：
Huang, Yisheng [1 ,2 ]
Fang, Yan [1 ]
Jie, Huanhuan [1 ]
Yang, Hongbiao [1 ]
Zhou, Wen [1 ]
Chen, Yijian [1 ]
Zhong, Baolin [1 ]
机构：
[1] Ganzhou Peoples Hosp, Dept Anesthesiol, Ganzhou, Peoples R China
[2] Southern Med Univ, Nanfang Hosp, Dept Anesthesiol, Guangzhou, Peoples R China
来源：
NATURAL PRODUCT RESEARCH | 2024年 / 38卷 / 21期
关键词：
Lonicerae japonicae flos; covid-19; network pharmacology; molecular docking; traditional chinese medicine; LUNG FIBROBLASTS; EXPRESSION; INHIBITION;
D O I：
10.1080/14786419.2023.2260070
中图分类号：
O69 [应用化学];
学科分类号：
081704 ;
摘要：
Using network pharmacology and molecular docking, we predicted the potential mechanisms of Lonicerae japonicae flos (LJF) therapy for COVID-19. A total of 493 component-related targets and 6,233 COVID-19-related genes were identified, and 267 core genes with overlapping of the two types of genes were identified. The target AKT1, CASP3, IL1B, IL6, PTGS2, TNF and JUN were the hub genes in PPI network according to MCODE score. Component-Target analysis showed the close relationship between targets and components. The results of functional enrichment analyses revealed that LJF exerted pharmacological effects on COVID-19 by regulating IL-17 signalling pathway, TNF signalling pathway, AGE-RAGE signalling pathway in diabetic complications, and Toll-like receptor signalling pathway. Finally, molecular docking confirmed a strong binding affinity between the 7 main active components with the hub genes. The findings suggested that beta-sitosterol, kaempferol and luteolin might be the promising leading components due to their good molecular docking scores. [GRAPHICS]
引用
收藏
页码：3699 / 3706
页数：8
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