Abstract: Objective: To investigate the in vivo inhibitory effects of carbon quantum dot lady wine (lady wine for short) and carbon quantum dot alkaline liquor (alkaline wine for short) on Helicobacter pylori in mice, and speculation of the mechanism of action of wine by network pharmacology. Methods: 70 KM mice were randomly divided into blank control group, model group, positive drug group, high-dose and low-dose group of lady wine, and high and low-dose alkaline alcohol group. Except blank control group, mouse in other groups were gavaged with bacterial suspension to establish Helicobacter pylori infection model. The changes in general physical signs such as body weight, the general morphological changes of mouse stomach, urease intensity and pathological sections were used as evaluation indicators to evaluate the effect of inhibiting Hp. Using network pharmacological analysis to screen the beneficial ingredients in wine through literature, and find its targets on the TCMSP platform, collect Hp disease targets through GeneCards database, take the intersection of the two, and combine the targets Point import uses Cytoscape 3.7.1 software to construct a protein-protein interaction (PPI) network diagram and the “wine-component-target” network diagram, and then perform GO and KEGG enrichment analysis. Results: Compared with the model group, the strong positive rate and total positive rate of Hp in positive control group, lady wine high-dose and low-dose groups and alkaline wine high-dose groups were significantly decreased (P<0.05), it could ignificantly reduce the positive rate of urease detection (P<0.05), bacterial colonization and reduce inflammation, and the efficacy was dose-dependent. Compared with the model group, the inflammatory cells and inflammation degree were significantly reduced in lady wine and alkaline wine low-dose groups. In the high-dose group, there was almost no inflammatory reaction, and the distribution of gastric gland cells was clear and neat. Screened out 21 trace health components in wine, corresponding to 315 targets, 905 disease-related targets and 74 intersection targets were retrieved. Finally, 53 core targets such as CUL4B, ACTB, PARP1, etc. were obtained, involving various physiological processes such as the response to bacteria-derived molecules, regulation of defense responses, lysosomes, and oxidoreductase activity, and mainly regulate IL-17 signaling pathway, TNF signaling pathway, MAPK signaling pathway and PI3K-Akt signaling pathway, etc. Conclusion: Carbon quantum dot wine had a good inhibitory effect on Hp, and the trace components in the wine acted on multiple targets through multiple pathways to exert antibacterial effect, providing theoretical support for the inhibitory effect of wine on Hp.