A combined network pharmacology and molecular biology approach to investigate the potential mechanisms of G-M6 on ovarian cancer
- PMID: 37302316
- DOI: 10.1016/j.bioorg.2023.106657
A combined network pharmacology and molecular biology approach to investigate the potential mechanisms of G-M6 on ovarian cancer
Abstract
Ginsenoside 3β,12β,21α,22β-Hydroxy-24-norolean-12-ene (G-M6), a phase I metabolite of anti-tumor medication 20(R)-25-methoxyl-dammarane-3β,12β,20-triol (AD-1), beats the parent drug in anti-ovarian cancer efficacy. The mechanism of action for ovarian cancer, however, is uncertain. Using network pharmacology, human ovarian cancer cells and nude mouse ovarian cancer xenotransplantation model, the anti-ovarian cancer mechanism of G-M6 was preliminarily explored in this study. The PPAR signal pathway is the key signal pathway of the G-M6 anti-ovarian cancer mechanism, according to data mining and network analysis. Docking tests demonstrated that the bioactive chemical G-M6 was capable of forming a stable bond with the PPARγ target protein capsule. Using human ovarian cancer cells and xenograft model of ovarian cancer to evaluate the anticancer activity of G-M6. The IC50 value of G-M6 was 5.83±0.36, lower than AD-1 and Gemcitabine. The tumor weight of the RSG 80 mg/kg group (C), G-M6 80 mg/kg group (I), and RSG 80 mg/kg + G-M6 80 mg/kg group (J) after the intervention was as follows: C < I < J. The tumor inhibition rates of groups C, I, and J were 28.6%, 88.7%, and 92.6%, respectively. When RSG and G-M6 are combined to treat ovarian cancer, q = 1.00 is calculated according to King's formula, which indicates that RSG and G-M6 have additive effects. Its molecular mechanism may involve the up-regulation of PPARγ and Bcl-2 protein expressions, and the down-regulation of Bax, Cytochrome C (Cyt. C), Caspase-3, and Caspase-9 protein expressions. These findings serve as a reference for further research into the processes behind ginsenoside G-M6's ovarian cancer therapy.
Keywords: Ginsenoside G-M6; Molecular docking; Network pharmacology; Ovarian cancer; Xenograft model.
Copyright © 2023 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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