Mechanism of Marsdenia tenacissima against ovarian cancer based on network pharmacology and experimental verification.
10.19540/j.cnki.cjcmm.20230103.704
- Author:
Yu-Jie HU
1
;
Lan-Yi WEI
1
;
Juan ZHAO
2
;
Qin-Fang ZHU
3
;
Zhao-Yang MENG
2
;
Jing-Jing MENG
1
;
Jun-Jun CHEN
1
;
Ling-Yan XU
1
;
Yang-Yun ZHOU
1
;
Yong-Long HAN
1
Author Information
1. Shanghai Sixth People's Hospital Affiliated to School of Medicine, Shanghai Jiao Tong University Shanghai 200030, China.
2. Shanghai Ocean University Shanghai 201306, China.
3. Jiangxi University of Chinese Medicine Nanchang 330004, China.
- Publication Type:Journal Article
- Keywords:
Marsdenia tenacissima;
mechanism;
molecular docking;
network pharmacology;
ovarian cancer
- MeSH:
Humans;
Female;
Marsdenia;
Molecular Docking Simulation;
Network Pharmacology;
Phosphatidylinositol 3-Kinases;
Proto-Oncogene Proteins c-akt;
Ovarian Neoplasms/genetics*;
Databases, Genetic;
Plant Extracts;
Drugs, Chinese Herbal/pharmacology*
- From:
China Journal of Chinese Materia Medica
2023;48(8):2222-2232
- CountryChina
- Language:Chinese
-
Abstract:
The present study aimed to explore the main active components and underlying mechanisms of Marsdenia tenacissima in the treatment of ovarian cancer(OC) through network pharmacology, molecular docking, and in vitro cell experiments. The active components of M. tenacissima were obtained from the literature search, and their potential targets were obtained from SwissTargetPrediction. The OC-related targets were retrieved from Therapeutic Target Database(TTD), Online Mendelian Inheritance in Man(OMIM), GeneCards, and PharmGKB. The common targets of the drug and the disease were screened out by Venn diagram. Cytoscape was used to construct an "active component-target-disease" network, and the core components were screened out according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened out according to the node degree. GO and KEGG enrichment analyses of potential therapeutic targets were carried out with DAVID database. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock. Finally, the anti-OC activity of M. tenacissima extract was verified based on SKOV3 cells in vitro. The PI3K/AKT signaling pathway was selected for in vitro experimental verification according to the results of GO function and KEGG pathway analyses. Network pharmacology results showed that 39 active components, such as kaempferol, 11α-O-benzoyl-12β-O-acetyltenacigenin B, and drevogenin Q, were screened out, involving 25 core targets such as AKT1, VEGFA, and EGFR, and the PI3K-AKT signaling pathway was the main pathway of target protein enrichment. The results of molecular docking also showed that the top ten core components showed good binding affinity to the top ten core targets. The results of in vitro experiments showed that M. tenacissima extract could significantly inhibit the proliferation of OC cells, induce apoptosis of OC cells through the mitochondrial pathway, and down-regulate the expression of proteins related to the PI3K/AKT signaling pathway. This study shows that M. tenacissima has the characteristics of multi-component, multi-target, and multi-pathway synergistic effect in the treatment of OC, which provides a theoretical basis for in-depth research on the material basis, mechanism, and clinical application.
