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Yaqi Fu

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Proceedings Article | 11 September 2024 Open Access

Exploring the mechanism of action of perilla seeds in the treatment of hypertension based on network pharmacology

Yaqi Fu, Guangna Liu, Minyu Wang, Jingfan Liu, Ranhong Cheng, Song Yang, Xu Yang

Proceedings Volume 13270, 1327015 (2024) https://doi.org/10.1117/12.3045755

KEYWORDS: Proteins, Databases, Diseases and disorders, Pharmacology, Biological research, Medicine, Blood pressure, Cardiovascular disorders, Target acquisition, Visualization

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Objective: The potential targets and mechanism of action of Perilla seeds in the treatment of hypertension was explored by using network pharmacology. Methods: The seed components and related indicators of Perilla frutescens were screened through TCMSP database with OB value ≥ 30% and DL value ≥ 0.18, and the names of target proteins were standardized with the help of the UniProt database. Targets related to hypertension were screened out by GeneCards and OMIM disease databases, and were de-duplicated and sorted out, and then the common targets of drugs and diseases were extracted with the help of Venn diagrams. Imported the relevant files in Cytoscape 3.9.0 software and generated a component-target-disease network diagram about Perilla seeds for the treatment of hypertension. Generated a PPI network diagram using the String database and Cytoscape 3.9.0 software to identify the core targets of Perilla seeds for the treatment of hypertension. Applied the DAVID database for the GO function and KEGG pathway enrichment analysis, and speculated the main signaling pathways interfering with hypertension. AutodockTool 4 software was used to molecularly dock the core targets and components screened. Conclusion: Perilla seeds may be used to treat hypertensive disorders through components such as lignans and β-sitosterol, which act on target genes such as AKT1, TNF and IL6, and regulate the PI3K/Akt pathway and AGE-RAGE pathway. The results showed that Perilla seeds can be used to treat hypertension in a variety of ways, such as regulating the PI3K/Akt pathway and the AGE-RAGE pathway.

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