PDF
Full
Outline
Objective To investigate the molecular mechanism of verbascoside against acute lung injury (ALI) by network pharmacology and molecular docking methods, and to validate the findings experimentally. Methods The 2D structure of verbascoside was obtained from the Pubchem database. Active ingredient targets of verbascoside were acquired from Pharmmapper database and Swiss Target Prediction database. Active component targets of ALI were acquired from datebase such as Gene Cards, OMIM, and DisGeNET. Common targets between verbascoside and ALI were determined by overlapping these sets. PPI network for potential targets was constructed using String database and Cytoscape software. The intersection targets were imported into the DAVID database for enrichment analysis of GO biological processes, KEGG signaling pathway and the pathway target genes. Molecular docking between verbascoside and core targets was performed using Autodock vina software. The mRNA expression level of core genes was validated using real-time quantitative PCR (RT-qPCR), and the expression of related proteins was detected using Western blotting. Results A total of 150 target genes of verbascoside against ALI were screened, and the key targets of verbascoside against ALI mainly involve pathways such as Rap1 signaling pathway, PI3K-Akt signaling pathway and MAPK signaling pathway. Verbascoside docked well with the core target molecules. RT-qPCR results showed that, compared with the control group, the mRNA expression levels of HSP90AA1, ALB, TP53, TNF, INS, and HRAS were significantly decreased in cells after the effect of verbascoside (P<0.05); Western blotting indicated that, compared with the model group, verbascoside treatment significantly reduced the expression of p-Akt, p-p38, and p-ERK proteins (P<0.05). Conclusion Verbascoside could inhibit MAPK, Rap1 and PI3K/Akt signaling pathways to exert its anti-ALI effects.
PDF
360
170
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
