Shenmai injection (SMI) is widely used in the clinical treatment of sepsis, but its mechanism is not yet clear. This study aimed to explore the molecular mechanism through network pharmacology, bioinformatics, and molecular docking technologies. The active ingredients and targets of SMI were screened through traditional Chinese medicine databases and the Swiss Target Prediction database, respectively. The disease genes were searched using GEO and GeneCards databases, and Venn mapping was used to screen potential therapeutic targets. The key targets were selected using Cytoscape 3.9.1 software. The BioGPS database was used to evaluate the expression of these targets in tissues/cells. The DAVID database is used for enrichment analysis. Molecular docking technology was used to evaluate the interaction between these targets and core active ingredients. 122 potential therapeutic targets and 28 key targets were identified. Forty-six potential therapeutic targets showed highly specific expression in 40 tissues/cells. The PI3K-AKT, RAP1, and MAPK signalling pathways are highly enriched. The molecular docking results showed good interactions. This study systematically analysed the mechanism of SMI in treating sepsis, involving multiple targets and pathways, possibly related to anti-inflammatory, anti-oxidative stress, and immune regulation, providing reference value for future basic research of sepsis.
Keywords: Shenmai injection; bioinformatics; mechanism; molecular docking; network pharmacology; sepsis.
© 2024 The Author(s). Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.