Dissection of the potential anti-influenza materials and mechanism of Lonicerae japonicae flos based on in vivo substances profiling and network pharmacology.

Lonicerae japonicae flos.(LJF) was widely used as a drug to treat upper respiratory tract infection or a tea to clear heat in Asian countries for thousands of years. Despite of its curative effects confirmed by modern pharmacological methods, its functional materials and mechanism against influenza were still unclear and needed further investigation. In this study, an integrated strategy based on in vivo substances profiling and network pharmacology was proposed and applied to screen out the potential anti-influenza substances and mechanism of LJF. An UHPLC/Q-TOF MS method was utilized to profile the chemical components in LJF and their metabolites in rats. The targets of absorbed prototypes were predicted by Swiss Target Prediction, and they were further analyzed by String and Kyoto Encyclopedia of Genes and Genomes (KEGG). As a result, a total of 126 chemical components mainly featuring three chemical structure types were characterized, including 70 iridoid glycosides, 17 caffeoylquinic acids, 24 flavonoids, and 15 other types compounds. Among them, ten N-contained iridoid glycosides were characterized as potential novel compounds. Moreover, 141 xenobiotics (74 prototypes and 67 metabolites) were clearly screened out in rat plasma and urine after ingestion of LJF. Phase II reactions (sulfation, glucuronidation, methylation) and phase I reactions (dehydroxylation, hydrogenation, hydrolysis, N-heterocyclization) were the main metabolic reactions of LJF in rats. Further, a total of 338 targets were predicted and TNF, PTGS2 and EGFR were the three main targets involved in the pathology of influenza. In addition to normal NF-κB pathway, T cell signal pathway and mTOR signal pathway were the other patterns for LJF to achieve its anti-flu effects. Our work provided the meaningful data for further pharmacological validation of LJF against influenza, and a new strategy was also proposed for minimizing the process to reveal the mechanism and functional basis of TCMs.