Objective To explore the mechanism underlying the protective effect of Lonicerae japonicae flos(LJF)extract against doxorubicin(DOX)-induced liver injury in mice.Methods Network pharmacology methods were used to obtain the intersection genes between LJF targets and disease targets,based on which the protein-protein interaction(PPI)network was constructed using STRING database for screening the core targets using Cytoscape software.DAVID database was used for bioinformatics analysis,and the core components and core targets were verified using molecular docking study.In a mouse model of DOX-induced liver injury,the effect of LJF extract on liver pathologies,serum levels of ALT and AST,and hepatic expressions of HYP,ROS,TNF-α,IL-6,COL-IV and P53 proteins were evaluated using HE and Masson staining,ELISA,and Western blotting.Results We identified 12 core targets from 43 intersection genes involving cancer pathway,IL-17 signaling pathway,and TNF signaling pathways.Molecular docking study suggested that 10 core components of LJF could bind to different core targets.The mice with DOX-induced liver injury showed elevated serum AST and ALT levels with obvious liver injury and fibrosis,increased ROS content,and enhanced expressions of TNF-α,IL-6,HYP,COL-IV and P53 proteins in the liver tissue.All these changes in the mouse models were significantly alleviated by treatment with LJF extract,suggesting obviously lowered levels of oxidative stress,inflammation and fibrosis in the liver tissues.Conclusion LJF extract is capable of alleviating DOX-induced liver injury in mice by downregulating Trp53,TNF and IL-6 to reduce liver oxidative stress,inflammation and fibrosis.

Objective To explore the mechanism underlying the protective effect of Lonicerae japonicae flos(LJF)extract against doxorubicin(DOX)-induced liver injury in mice.Methods Network pharmacology methods were used to obtain the intersection genes between LJF targets and disease targets,based on which the protein-protein interaction(PPI)network was constructed using STRING database for screening the core targets using Cytoscape software.DAVID database was used for bioinformatics analysis,and the core components and core targets were verified using molecular docking study.In a mouse model of DOX-induced liver injury,the effect of LJF extract on liver pathologies,serum levels of ALT and AST,and hepatic expressions of HYP,ROS,TNF-α,IL-6,COL-IV and P53 proteins were evaluated using HE and Masson staining,ELISA,and Western blotting.Results We identified 12 core targets from 43 intersection genes involving cancer pathway,IL-17 signaling pathway,and TNF signaling pathways.Molecular docking study suggested that 10 core components of LJF could bind to different core targets.The mice with DOX-induced liver injury showed elevated serum AST and ALT levels with obvious liver injury and fibrosis,increased ROS content,and enhanced expressions of TNF-α,IL-6,HYP,COL-IV and P53 proteins in the liver tissue.All these changes in the mouse models were significantly alleviated by treatment with LJF extract,suggesting obviously lowered levels of oxidative stress,inflammation and fibrosis in the liver tissues.Conclusion LJF extract is capable of alleviating DOX-induced liver injury in mice by downregulating Trp53,TNF and IL-6 to reduce liver oxidative stress,inflammation and fibrosis.

Objective To analyze the level of occupational health literacy (OHL) and its influencing factors among key populations in China. Methods The front-line workers from 31 provinces, autonomous regions, municipalities, and Xinjiang Production and Construction Corps in China were selected as the research subjects using a combination of stratified cluster random sampling and probability proportional sampling. The Occupational Health Literacy Questionnaire of National Key Populations was used to investigate the OHL level. Results In 2022, a total of 340 506 people from 23 industries were surveyed. Among them, 168 455 and 172 051 people were surveyed in the secondary and tertiary industries, respectively. The OHL level of the research subjects was 52.6%. The OHL levels of workers in the secondary and tertiary industries were 56.5% and 48.9%, respectively. The results of multivariate logistic regression analysis showed that gender, age, marital status, educational level, household registration, monthly income, employment nature, years of service and industry category were independent influencing factors for OHL level of the research subjects (all P<0.01). Specifically, females had a higher OHL level than males (P<0.01); the older the age, the higher the education level, the higher the monthly income level, the higher the OHL level (all P<0.01); the level of OHL in unmarried people was higher than that in married people (P<0.01); the OHL level of workers with non-agricultural household registration was higher than that of workers with agricultural household registration (P<0.01); the OHL levels of workers in state-owned enterprises, foreign-funded enterprises and public institutions were higher than those in private enterprises (all P<0.01); the level of OHL in the group with 21.0-43.0 years of service was lower than that in the other years of service groups (all P<0.01); the OHL level of workers in the secondary industry was higher than that in the tertiary industry (P<0.01). Conclusion The workers in the key industries selected by the tertiary industry, the private enterprises in the secondary industry, those with more than 21.0 years of service, and the disadvantaged groups with younger age low income, low education level, and the agricultural household registration are the key groups for the improvement of OHL level in the future. Appropriate intervention methods and strategies should be actively explored to improve the OHL of these key populations.