Network pharmacology and experimental analysis of Yudantong decoction, a multi-immunomodulator for the treatment of intractable cholestatic liver disease: Identification of active agents, molecular targets, and mechanisms of action.

Abstract

Background: Yudantong decoction (YDTD) is a therapeutic prescription for cholestatic liver disease (CLD) and is clinically effective in our medical institution. However, the exact constituents and mechanisms of YDTD in treating CLD remain unknown. This project aimed to explore the primary constituents and mechanism of YDTD in the treatment of CLD through ultra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS), network pharmacology, molecular docking technology, and in vivo experiments.

Materials and methods: The chemical constituents of YDTD were identified via UPLC-HRMS, and Bioinformatics analysis tool for molecular mechANism of traditional Chinese medicine (BATMAN-TCM) was employed to screen target proteins. Cytoscape 3.7.1 was used to build the herbal component-target network. The CLD targets were identified by querying the OMIM and DisGeNET databases and determining the overlap between the targets of the YDTD chemical constituents and those of CLD. The STRING database was utilized to construct a protein-protein interaction (PPI) network for subsequent analysis. Gene ontology (GO) biological process enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway enrichment analysis were carried out using the database for annotation, visualization and integrated discovery (DAVID) database. Molecular docking validation against core targets with PyMOL software was conducted for the active compounds. Finally, in vivo experiments were performed to investigate the therapeutic effect of YDTD in a murine model of α-naphthyl isothiocyanate (ANIT)-induced CLD.

Results: YDTD has 112 major components, among which 59 have 1,478 potential targets. We identified a total of 1,957 potential therapeutic targets for CLD and 269 overlapping targets between CLD-associated targets and YDTD active component targets to construct a PPI network. Through topology analysis, IL-6, INS, IL1B, AKT1, BCL2, NFKB1, PTGS2, and TP53 were identified as key targets along with their corresponding primary chemical components. KEGG analysis revealed significant enrichment of the phosphoinositide 3-Kinase (PI3K)-Akt and nuclear factor Kappa-B (NF-κB) signaling pathways. The molecular docking results indicated strong binding affinities between glycyrrhizin-AKT1, l-arginine-IL1B, p-coumaric acid-IL1B, 2,4-dihydroxybenzoic acid-IL1B, p-coumaric acid-TNF, 2-hydroxycinnamic acid-TNF, uridine-AKT1, p-coumaric acid-IL6, and trigonelline-INS. In vivo experiments demonstrated that YDTD downregulated the expression of p-PI3K, p-AKT, p-NF-κB, IL-6, TNF-α, and IL-1β, and reduced immune cell infiltration in the liver to ameliorate liver damage in CLD patients.

Conclusion: The present study clarified the active components and potential anti-inflammatory mechanism of YDTD in treating CLD, providing a solid foundation for future research on its therapeutic mechanisms.