Exploring the action mechanism of Oxalis corniculata L. decoction in treating osteoarthritis utilizing liquid chromatography–mass spectrometry technology combined with network pharmacology
This study aimed to identify the chemical constituents of Oxalis corniculata L. decoction. Furthermore, the mechanism of action of O corniculata L. decoction in treating osteoarthritis (OA) was investigated utilizing network pharmacology. The chemical composition of the O corniculata L. decoction was analyzed by employing UHPLC-Q-Exactive-MS/MS. Subsequently, a "compound-target-pathway" network was established through network pharmacology, offering a novel approach to identify the molecular mechanism underlying the treatment of OA with O corniculata L. decoction. Ultimately, the molecular docking technique was employed to validate the binding ability of the active ingredients with therapeutic targets. A total of 539 compounds were identified in O corniculata L. decoction. Topological analysis of the protein-protein interaction network indicated that compounds, including guanosine, naringenin-7-O-beta-D-glucuronide, noroxyhydrastinine, and chrysophanol 8-O-glucoside, have therapeutic potential for OA. In addition, GAPDH, TNF, TP53, epidermal growth factor receptor, and ESR1 may be key targets for the treatment of OA, primarily involving lipid and atherosclerosis, cellular senescence, IL-17 signaling pathway, and epidermal growth factor receptor tyrosine kinase inhibitor resistance signaling pathways. This method preliminarily identified the chemical composition of O corniculata L. decoction and predicted the active ingredients, potential targets, and signaling pathways of O corniculata L. decoction in treating OA. The findings of this research revealed the potential function of O corniculata L. decoction in anti-inflammation, alongside its ability to promote osteoblast proliferation and differentiation, providing new ideas for the processing of O corniculata L. herbs and related drug development.
Authors
- Hehe He
- Jian Zhang (ORCID: https://orcid.org/0009-0005-9797-725X)
- Wanyan Shen
Institutions
- Guizhou Academy of Agricultural Sciences (CN)
- Guizhou Electric Power Design and Research Institute (CN)
- Innovation Team (China) (HK)
Publication Details
- Journal
- Medicine
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1097/md.0000000000039515
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Guizhou Academy of Agricultural Sciences