Integrated bioinformatics and machine learning approaches reveal that Venenum bufonis acts against acute pharyngitis...

Venenum bufonis (VB) has been used for centuries in Asia to treat pharyngitis. However, its active components and mechanisms require further elucidation.

This study aimed to identify the active components and mechanisms of VB in treating acute pharyngitis (AP).

Public databases were screened to identify the components and targets of VB, while AP-related genes were extracted from the GEO database. Then, machine learning (ML) was used to identify potential core target genes, and clinical relevance was evaluated using these core target genes. The active components and their mechanisms were then validated by molecular docking and by using an AP rat model.

Bioinformatics and ML revealed three potential core target genes: ALPL, MKNK1, and CCR1. KEGG pathway analysis and GSEA identified that p38 MAPK/ERK-MKNK1-eIF4E signaling pathway is involved in the therapeutic effects of VB. Molecular docking and dynamics simulation showed that hellebrigenin is an active component in VB. The validation experimental results showed that VB and hellebrigenin reduced inflammatory factor expression by inhibiting MKNK1 activation and modulating the p38 MAPK/ERK-MKNK1-eIF4E signaling pathway, thereby alleviating AP.

This study systematically identified the biological activities, potential targets, and molecular mechanisms of VB in combating AP using bioinformatics combined with ML and in vivo experiments. These results provide a scientific basis for the use of VB in AP treatment.