Inhibition effect of oxyepiberberine isolated from Coptis chinensis franch. On non-small cell lung cancer based on a network pharmacology approach and experimental validation

Zhang, Ying; Yao, Yunfeng; Fu, Yingjie; Yuan, Zixin; Wu, Xingpan; Wang, Tianshun; Hong, Zongchao; Yang, Yong; H, Wu

doi:10.1016/j.jep.2021.114267

Cited by 20 publications

(10 citation statements)

References 38 publications

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“…PharmMapper, STITCH, SwissTargetPrediction and Chembl database were used to predict the potential target genes of PTE ( Yang et al, 2020 ). After merging the above four database targets, the PTE-related targets was uniformly transformed by the UniPort database ( Zhang Y. et al, 2021 ). “slow transit constipation” was used as the key words in the PharmGkb, OMIM, GeneCards, Drugbank, and TTD databases to search for STC-related targets ( Yu et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Based on Network Pharmacology and Gut Microbiota Analysis to Investigate the Mechanism of the Laxative Effect of Pterostilbene on Loperamide-Induced Slow Transit Constipation in Mice

Yao

Ren

et al. 2022

Front. Pharmacol.

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Background: Pterostilbene (PTE) is a natural polyphenol compound that has been proven to improve intestinal inflammation, but its laxative effect on slow transit constipation (STC) has never been studied. This study aims to investigate the laxative effect of PTE on loperamide (LOP)-induced STC mice and its influence on intestinal microbes through a combination of network pharmacological analysis and experimental verification.Material and Methods: PTE was used to treat LOP-exposed mice, and the laxative effect of PTE was evaluated by the total intestinal transit time and stool parameters. The apoptosis of Cajal interstitial cells (ICCs) was detected by immunofluorescence. The mechanism of PTE’s laxative effect was predicted by network pharmacology analysis. We used western blot technology to verify the predicted hub genes and pathways. Malondialdehyde (MDA) and GSH-Px were tested to reflect oxidative stress levels and the changes of gut microbiota were detected by 16S rDNA high-throughput sequencing.Results: PTE treatment could significantly improve the intestinal motility disorder caused by LOP. Apoptosis of ICCs increased in the STC group, but decreased significantly in the PTE intervention group. Through network pharmacological analysis, PTE might reduce the apoptosis of ICCs by enhancing PI3K/AKT and Nrf2/HO-1 signaling, and improve constipation caused by LOP. In colon tissues, PTE improved the Nrf2/HO-1 pathway and upregulated the phosphorylation of AKT. The level of MDA increased and GSH-Px decreased in the STC group, while the level of oxidative stress was significantly reduced in the PTE treatment groups. PTE also promoted the secretion of intestinal hormone and restored the microbial diversity caused by LOP.Conclusion: Pterostilbene ameliorated the intestinal motility disorder induced by LOP, this effect might be achieved by inhibiting oxidative stress-induced apoptosis of ICCs through the PI3K/AKT/Nrf2 signaling pathway.

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Section: Methodsmentioning

confidence: 99%

Based on Network Pharmacology and Gut Microbiota Analysis to Investigate the Mechanism of the Laxative Effect of Pterostilbene on Loperamide-Induced Slow Transit Constipation in Mice

Yao

Ren

et al. 2022

Front. Pharmacol.

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“…When oral bioavailability (OB) ≥ 30% and drug-likeness (DL) ≥ 0.18 are selected as the conditions for screening chemical components and target proteins, the drug targets retrieved may present with some concerns, such as nonstandard naming. Therefore, UniProt (https://www.uniprot.org/) can be used to retrieve the current protein names by inputting the target protein name and limiting the species to “human.” 30–32…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, UniProt (https://www.uniprot.org/) can be used to retrieve the current protein names by inputting the target protein name and limiting the species to "human." [30][31][32] Collection of CPID-Related Targets. We searched the GeneCards database (https://www.genecards.…”

Section: Network Pharmacology Analysismentioning

confidence: 99%

Action Mechanism of Zhuang Medicine Jin-mu Granules Against Chronic Pelvic Inflammatory Disease Explored Using Comprehensive Network Pharmacology and Metabolomics

Wang

et al. 2022

Natural Product Communications

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Zhuang Medicine Jin-mu Granules (ZMJG) are prescriptions derived from the Zhuang nationality, which is the largest minority among 56 ethnic groups in China. They have been widely used in the treatment of chronic pelvic inflammatory disease (CPID) in Guangxi Zhuang Autonomous Region for clearing away heat and toxins, removing dampness and poisoning. CPID is a common gynecological disease of female reproductive organs and surrounding tissues and is characterized by persistent and recurrent symptoms, causing serious physical and psychological damage to the patient. Preliminary research found that ZMJG have beneficial effects on CPID model rats, but the metabolic mechanism underlying their protective effects is unclear. In this study, we used the strategy of combining network pharmacology, pharmacodynamic, and metabolomic approaches to investigate the molecular mechanisms and potential targets of ZMJG for the treatment of CPID. First, a network diagram of “medicinal materials-components-targets-pathways” based on network pharmacology was constructed to obtain a preliminary understanding of the biologically active compounds and related targets of ZMJG and clarify their molecular mechanism in CPID. Subsequently, the in vivo efficacy of ZMJG was verified in a rat model. Furthermore, we analyzed the corresponding metabolomics profile to explore the differentially induced metabolic markers and elucidate the metabolic mechanism by which ZMJG treat CPID. The results show that the therapeutic effect of ZMJG on CPID is mediated through multiple pathways, metabolic pathways, and multi-component multi-target modes, providing a detailed theoretical basis for the development and clinical application of ZMJG and a new research idea for the treatment of CPID in Chinese medicine.

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“…By the method of network pharmacology, some traditional Chinese medicines have been reported to suppress cancers. Zhang et al (2021 ) reported that oxyepiberberine inhibited the development and progress of non-small cell lung cancer (NSCLC) using the combination of network pharmacology and biological experiment. Yuan et al (2021 ) found that scopoletin against NSCLC through the pathways of RAS-RAF-MEK-ERK and PI3K/AKT via the combination of network pharmacology and molecular docking.…”

Section: Introductionmentioning

confidence: 99%

Curcumin and its nano-formulations: Defining triple-negative breast cancer targets through network pharmacology, molecular docking, and experimental verification

et al. 2022

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Background: Curcumin (CUR) displays the capability of suppressing the proliferation and metastasis of various cancer cells. However, the effects and underline mechanisms of CUR to treat triple-negative breast cancer (TNBC) have not been systematically elucidated with an appropriate method.Methods: In the present research, a combination method of network pharmacology, molecular docking, and in vitro bio-experiment was used to investigate the pharmacological actions and underline mechanisms of CUR against TNBC. First, common targets of CUR and TNBC were screened via Venny 2.1.0 after potential CUR-related targets and targets of TNBC were got from several public databases. Then, the Gene Ontology (GO) function and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed on the Metascape website, and the network of compound-targets-pathways was constructed via Cytoscape software. Moreover, the network of protein-protein interaction was constructed by the STRING database to screen potential targets. Moreover, molecular docking was applied to affirm the interaction of CUR with the screened top 10 potential targets. Finally, in vitro experiments were used to further verify the effects and mechanisms of CUR and its nano-formulation (CUR-NPs) against TNBC.Results: Forty potential targets of CUR against TNBC were obtained. STAT3, AKT1, TNF, PTGS2, MMP9, EGFR, PPARG, NFE2L2, EP300, and GSK3B were identified as the top 10 targets of CUR against TNBC. In vitro experiment verified that CUR and CUR-NPs could not only restrain the invasion, migration, and proliferation of MDA-MB-231 cells but also induce their apoptosis. In addition, molecular docking demonstrated that CUR could bind spontaneously with the screened top 10 targeted proteins, and a real-time PCR experiment demonstrated that both CUR and CUR-NPs could downregulate the genetic expression levels of the 10 targets. Moreover, according to the CUR-targets-pathways network, PI3K-Akt, EGFR tyrosine kinase inhibitor resistance, JAK-STAT, Foxo, and HIF-1 signaling pathways were identified as the important pathways of CUR effects on TNBC. Among them, the inhibiting effects of CUR and CUR-NPs on the JAK-STAT signaling pathway were further verified by the western blot analysis.Conclusion: Taken together, the present research demonstrates that CUR and CUR-NPs have pharmacological effects against TNBC via a multi-target and multi-pathway manner.

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Inhibition effect of oxyepiberberine isolated from Coptis chinensis franch. On non-small cell lung cancer based on a network pharmacology approach and experimental validation

Cited by 20 publications

References 38 publications

Based on Network Pharmacology and Gut Microbiota Analysis to Investigate the Mechanism of the Laxative Effect of Pterostilbene on Loperamide-Induced Slow Transit Constipation in Mice

Based on Network Pharmacology and Gut Microbiota Analysis to Investigate the Mechanism of the Laxative Effect of Pterostilbene on Loperamide-Induced Slow Transit Constipation in Mice

Action Mechanism of Zhuang Medicine Jin-mu Granules Against Chronic Pelvic Inflammatory Disease Explored Using Comprehensive Network Pharmacology and Metabolomics

Curcumin and its nano-formulations: Defining triple-negative breast cancer targets through network pharmacology, molecular docking, and experimental verification

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