LAUSR

Osteoarthritis (OA) is a disabling disease and seriously affects the quality of life of patients. is A potential medicine for the treatment of OA is Eucommia ulmoides leaves (EULs). However, its active compounds and therapeutic mechanisms are unclear. Therefore, it is necessary to develop a method using LC-MS and network pharmacology for the detection and identification of compounds and the mechanisms of action of EULs. The compounds were detected and identified based on ultra-high-performance liquid chromatography coupled with Quadrupole Exactive-Orbitrap MS (UHPLC-Q Exactive-Orbitrap MS) and followed by the network pharmacology analysis. Seventy-three compounds, including 15 flavonoids, 8 iridoids, 10 lignans, 24 phenolic acids, and 16 additional compounds, were identified by UHPLC-Q Exactive-Orbitrap MS. The network of the pharmacological analysis revealed that 29 active compounds regulated 17 main pathways through 38 target genes, including NF-kappa B signaling pathway, PI3K-Akt signaling pathway, AMPK signaling pathway, etc. In conclusion, EULs were effective in the treatment of OA by regulating the abovementioned key pathways. This study showed that LC-MS/MS followed by network pharmacology analysis is useful to elucidate the complex mechanisms of action of Chinese herb. PRACTICAL APPLICATIONS: This study describes a rapid method of detecting and identifying the constituents and systematic mechanism of Eucommia ulmoides based on LC-MS and network pharmacology. Our results show that 73 compounds of E. ulmoides leaves were identified and predicted that E. ulmoides leaves were effective in the treatment of OA by regulating key pathways, including NF-kappa B signaling pathway, PI3K-Akt signaling pathway, and AMPK signaling pathway by network pharmacology, which lays the foundation for subsequent research.