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Network pharmacology to explore the molecular mechanisms of Prunella vulgaris for treating thyroid cancer
Zhiqiang Zhang1, Jiayi Zhou2, Ruiqian Guo2
1Otolaryngology Head and Neck Surgery Institute, The Affiliated Hospital of Yanbian University, Yanbian University, Jilin, China.
Background:
Thyroid cancer (TC) is the most common endocrine malignancy that has rapidly increased in global incidence. Prunella vulgaris (PV) has manifested therapeutic effects in patients with TC. We aimed to investigate its molecular mechanisms against TC and provide potential drug targets by using network pharmacology and molecular docking.
Methods:
The ingredients of PV were retrieved from Traditional Chinese Medicine Systematic Pharmacology Database. TC-related gene sets were established using the GeneCard and OMIM databases. The establishment of the TC-PV target gene interaction network was accomplished using the STRING database. Cytoscape constructed networks for visualization. Protein-protein interaction, gene ontology and the biological pathway Kyoto encyclopedia of genes and genomes enrichment analyses were performed to discover the potential mechanism. Molecular docking technology was used to analyze the effective compounds from PV for treating TC.
Results:
11 active compounds and 192 target genes were screened from PV. 177 potential targets were obtained by intersecting PV and TC gene sets. Network pharmacological analysis showed that the PV active ingredients including Vulgaxanthin-I, quercetin, Morin, Stigmasterol, poriferasterol monoglucoside, Spinasterol, kaempferol, delphinidin, stigmast-7-enol, beta-sitosterol and luteolin showed better correlation with TC target genes such as JUN, AKT1, mitogen-activated protein kinase 1, IL-6 and RELA. The gene ontology and Kyoto encyclopedia of genes and genomes indicated that PV can act by regulating the host defense and response to oxidative stress immune response and several signaling pathways are closely associated with TC, such as the TNF and IL-17. Protein-protein interaction network identified 8 hub genes. The molecular docking was conducted on the most significant gene MYC. Eleven active compounds of PV can enter the active pocket of MYC, namely poriferasterol monoglucoside, stigmasterol, beta-sitosterol, vulgaxanthin-I, spinasterol, stigmast-7-enol, luteolin, delphinidin, morin, quercetin and kaempferol. Further analysis showed that oriferasterol monoglucoside, followed by tigmasterol, were the potential therapeutic compound identified in PV for the treatment of TC.
Conclusion:
The network pharmacological strategy integrates molecular docking to unravel the molecular mechanism of PV. MYC is a promising drug target to reduce oxidative stress damage and potential anti-tumor effect. Oriferasterol monoglucoside and kaempferol were 2 bioactive compounds of PV to treat TC. This provides a basis to understand the mechanism of the anti-TC activity of PV.
Insights
Prunella vulgaris (PV) shows therapeutic effects against thyroid cancer (TC) by targeting MYC. Oriferasterol monoglucoside and kaempferol are identified as key compounds for TC treatment.
Area of Science:
- Phytochemistry
- Molecular Biology
- Computational Biology
Background:
- Thyroid cancer (TC) incidence is rising globally, necessitating novel therapeutic strategies.
- Prunella vulgaris (PV) exhibits potential anti-cancer properties, particularly against TC.
- Understanding PV's molecular mechanisms in TC is crucial for drug development.
Purpose of the Study:
- To investigate the molecular mechanisms of Prunella vulgaris (PV) against thyroid cancer (TC) using network pharmacology.
- To identify potential therapeutic compounds and drug targets within PV for TC treatment.
- To provide a scientific basis for the anti-TC activity of PV.
Main Methods:
- Retrieved PV ingredients and TC-related genes from established databases.
- Constructed a TC-PV target gene interaction network using STRING and visualized with Cytoscape.
- Performed enrichment analyses (Gene Ontology, KEGG) and molecular docking to elucidate mechanisms and compound efficacy.
Main Results:
- Identified 11 active PV compounds and 177 potential TC targets.
- Network analysis revealed PV compounds correlate with TC genes (e.g., JUN, AKT1) and pathways (e.g., TNF, IL-17).
- Molecular docking highlighted oriferasterol monoglucoside and stigmasterol as potent compounds targeting MYC.
Conclusions:
- Network pharmacology combined with molecular docking elucidates PV's anti-TC mechanisms.
- MYC is a promising drug target for reducing oxidative stress and exerting anti-tumor effects.
- Oriferasterol monoglucoside and kaempferol are key bioactive compounds in PV for treating TC.
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