2.Ant i-inflammatory mechanism of active components in Olibanum and Myrrha based on network pharmacology and cell experiments.
Zi-Zhang ZHAO ; Jia-Shang LI ; Shu-Lan SU ; Yue ZHU ; Da-Wei QIAN ; Jin-Ao DUAN
China Journal of Chinese Materia Medica 2021;46(21):5674-5682
Two terpenes, 3-keto-tirucalla-8,24-dien-21-oic acid(KTDA) and 2-methoxy-5-acetoxy-furanogermacr-1(10)-en-6-one(FSA), are isolated from Olibanum and Myrrha respectively, which are characterized by high yield and easy crystallization during the preparation. The present study explored the regulatory targets and anti-inflammatory mechanism of KTDA and FSA based on network pharmacology and cell viability assay. First, the drug-likeness of KTDA and FSA was predicted by Swiss ADME. The target prediction of active components was carried out by Swiss Target Prediction and Pharmmapper. TTD, Drug Bank, and Gene Cards were searched for inflammation-related target genes of KTDA and FSA. Protein-protein interaction(PPI) analysis was performed on the inflammatory targets of KTDA and FSA by STRING, and Cytoscape was used to conduct topological analysis of the interaction results and construct the PPI network. GO function and KEGG pathway enrichment analyses of inflammatory targets of KTDA and FSA were carried out by DAVID, and a " component-target-pathway" network was constructed. Finally, lipopolysaccharide(LPS)-induced RAW264. 7 cells were treated with KTDA and FSA at different concentrations, and nitric oxide(NO) concentration and protein and m RNA expression levels were detected. The results showed that both KTDA and FSA showed good drug-likeness. A total of 157 and 142 inflammation-related targets of KTDA and FSA were screened out. PPI network analysis showed that MAPK1, AKT1, MAPK8, PIK3 CA,PIK3 R1, EGFR, etc. might be the key proteins for the anti-inflammatory effect. PI3 K/AKT and MAPK signaling pathways were obtained by KEGG and GO-BP enrichment. Cell experiment results showed that KTDA and FSA could exert anti-inflammatory effects by inhibiting NO production, reducing the phosphorylation levels of JNK, p38, and AKT proteins, and down-regulating the m RNA expression of interleukin(IL)-1β and IL-6. Meanwhile, FSA could also inhibit ERK phosphorylation. The results indicated that KTDA and FSA had significant anti-inflammatory activity, which provided a scientific basis and important support for the further research,development, and utilization of Olibanum and Myrrha.
Animals
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Ants
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Drugs, Chinese Herbal/pharmacology*
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Frankincense
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Lipopolysaccharides
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Molecular Docking Simulation
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Network Pharmacology
3.Mechanism of Olibanum-Myrrha in treatment of rheumatoid arthritis based on network pharmacology and molecular docking.
Jia-Shang LI ; Zi-Zhang ZHAO ; Xiao-Dong MIAO ; Shu-Lan SU ; Er-Xin SHANG ; Da-Wei QIAN ; Jin-Ao DUAN
China Journal of Chinese Materia Medica 2021;46(10):2371-2379
In this paper, network pharmacology method and molecular docking technique were used to investigate the target genes of Olibanum and Myrrha compatibility and the possible mechanism of action in the treatment of rheumatoid arthritis(RA). Our team obtained the main active components of Olibanum-Myrrha based on literatures study, relevant traditional Chinese medicine systematic pharmacological databases and literature retrieval, and made target prediction of the active components through SwissTargetPrediction database. At the same time, RA-related targets were collected through DrugBank, GeneCards and Therapeutic Target Database(TDD) databases; and VENNY 2.1 was use to collect intersection targets to map common targets of drug and disease of Venn diagram online. The team used STRING database to construct PPI protein interaction network diagram, and screen out core targets according to the size of the interaction, and Cytoscape 3.6.0 software was used to construct network models of "traditional Chinese medicine-component-target" "traditional Chinese medicine-component-target-disease" and core target interaction network model. The intersection target was analyzed by using DAVID 6.8 online database for GO function analysis and KEGG pathway enrichment analysis, and Pathon was used to visualization. AutoDock Vina and Pymol were used to connect the core active components with the core targets. Sixteen active components of Olibanum-Myrrha pairs were found and collected in the laboratory, and 320 relevant potential targets, 468 RA-related targets and 62 intersection targets were obtained through the Venn diagram. It mainly acted on multiple targets, such as IL6, TNF, IL1 B and MAPK1, involving TNF signaling pathway and Toll-like receptor signaling pathway in RA treatment. Finally, in this study, possible targets and signaling pathways of Olibanum-Myrrha compatibility therapy for RA were discussed, and molecular docking between core targets and core active components was conducted, which could provide scientific basis for the study on the mechanism of Olibanum-Myrrha compatibility.
Arthritis, Rheumatoid/genetics*
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Drugs, Chinese Herbal
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Frankincense
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Humans
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Medicine, Chinese Traditional
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Molecular Docking Simulation