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Uncovering the Pharmacological Mechanism of Chaibei Zhixian Decoction on Epilepsy by Network Pharmacology Analysis.

ABSTRACT: Objective:Epilepsy is a neuronal disorder that is characterized by epileptic seizures and linked with abnormal neural functioning in the brain. Traditional Chinese medicine (TCM) formula Chaibei Zhixian decoction (CZD) has been widely used for epilepsy in China while the pharmacological mechanisms are still unclear. In the present study, systematic and comprehensive network pharmacology was utilized for the first time to reveal the potential pharmacological mechanisms of CZD on epilepsy. Methods:Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and analysis platform was utilized for the development of an ingredients-targets database. After identifying epileptic targets of CZD, their interaction with other proteins was estimated based on protein-protein interaction network created from STITCH and gene ontology (GO) enrichment analysis utilizing Cytoscape-ClueGO plugin. Results:CZD formula was found to have 643 chemical ingredients, and the potential protein targets of these ingredients were 5230, as retrieved from TCMSP database. Twenty-six protein targets were found to be associated with epilepsy. Thirteen hub genes were regulated by CZD in epilepsy, including estradiol, ESR1, ESR2, SRC, CTNNB1, EP300, MAPK1, MAPK3, SP1, BRCA1, NCOA3, CHRM1, and GSK3B. The results of GO terms analysis showed that 8 GO terms were recovered in the form of 3 clusters, including negative regulation of protein kinase B signaling, positive regulation of interleukin-1 production, and microvillus assembly. Conclusions:Network pharmacology approach provides better understanding of the underlying pharmacological mechanisms of CZD on epilepsy. Estradiol, ESR1, ESR2, CTNNB1, EP300, MAPK1, MAPK3, BRCA1, and GSK3B are likely to be important molecules regulated by CZD in treatment of epilepsy. Negative regulation of protein kinase B signaling may play vital roles in the treatment of epilepsy by CZD.

SUBMITTER: Zhang J

PROVIDER: S-EPMC6535852 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Uncovering the Pharmacological Mechanism of <i>Chaibei Zhixian</i> Decoction on Epilepsy by Network Pharmacology Analysis.

Zhang Jian J Zheng Chenglong C Yuan Siyuan S Dong Xiaoke X Wang Le L Wang Yong Y Wang Wei W Gao Kuo K Liu Jinmin J

Evidence-based complementary and alternative medicine : eCAM 20190512

<h4>Objective</h4>Epilepsy is a neuronal disorder that is characterized by epileptic seizures and linked with abnormal neural functioning in the brain. Traditional Chinese medicine (TCM) formula <i>Chaibei Zhixian</i> decoction (CZD) has been widely used for epilepsy in China while the pharmacological mechanisms are still unclear. In the present study, systematic and comprehensive network pharmacology was utilized for the first time to reveal the potential pharmacological mechanisms of CZD on ep ...[more]

PMID: 31214268

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Project description:BackgroundYeju Jiangya decoction (CIF) is an herbal formula from traditional Chinese medicine (TCM) for the treatment of hypertension.Materials and methodsBased on the analysis of network pharmacology, combined with in animal experiments, the network pharmacology was used to explore the potential proteins and mechanisms of CIF against hypertension. The bioactive compounds of CIF were screened by using the platform, and the targets of hypertension and CIF were collected. Then, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction network (PPI) core targets were carried out, and the useful proteins were found by molecular docking technology. Finally, we used N-nitro-L-arginine (L-NNA) induced hypertension model rats to confirm the effect and mechanism of CIF on hypertension.Results14 bioactive compounds of CIF passed the virtual screening criteria, and 178 overlapping targets were identified as core targets of CIF against hypertension. The CIF-related target network with 178 nodes and 344 edges is constructed. The topological results show that quercetin and luteolin are the key components in the network. The key targets NOS3 (nitric oxide synthase 3) and NOS2 (nitric oxide synthase 2) were screened by the protein-protein interaction network. The analysis of target protein pathway enrichment showed that the accumulation pathway is related to the vascular structure of CIF regulation of hypertension. Further verification based on molecular docking results showed that NOS3 had the good binding ability with quercetin and luteolin. On the other hand, NOS3 has an important relationship with the composition of blood vessels. Furthermore, the animal experiment indicated that after the L-NNA-induced hypertension rat model was established, CIF intervention was given by gavage for 3 weeks, and it can decrease serum concentrations of endothelin-1 (ET-1) and thromboxane B2 (TXB2), increase the expression of nitric oxide (NO) and prostacyclin 2 (PGI2), and improve renal, cardiac, and aortic lesions. At the same time, it can reduce blood pressure and shorten vertigo time. Western blot (WB) and immunohistochemistry (IHC) analyses indicated that CIF may downregulate the expression of NOS3, guanylyl cyclase-alpha 1 (GC-α1), guanylyl cyclase-alpha 2 (GC-α2), and protein kinase CGMP-dependent 1 (PRKG1). These results suggest that CIF may play an antihypertensive role by inhibiting the activation of the NOS3/PRKG1 pathway.ConclusionsThe results of this study indicate that CIF has the ability to improve target organs, protect endothelial function, and reduce blood pressure and that CIF might be a potential therapeutic drug for the prevention of hypertension. It provides new insight into hypertension and the potential biological basis and mechanism for CIF clinical research.

Project description:ObjectiveThe purpose of this work is to study the mechanism of action of Duhuo Jisheng Decoction (DHJSD) in the treatment of osteoporosis based on the methods of bioinformatics and network pharmacology.MethodsIn this study, the active compounds of each medicinal ingredient of DHJSD and their corresponding targets were obtained from TCMSP database. Osteoporosis was treated as search query in GeneCards, MalaCards, DisGeNET, Therapeutic Target Database (TTD), Comparative Toxicogenomics Database (CTD), and OMIM databases to obtain disease-related genes. The overlapping targets of DHJSD and osteoporosis were identified, and then GO and KEGG enrichment analysis were performed. Cytoscape was employed to construct DHJSD-compounds-target genes-osteoporosis network and protein-protein interaction (PPI) network. CytoHubba was utilized to select the hub genes. The activities of binding of hub genes and key components were confirmed by molecular docking.Results174 active compounds and their 205 related potential targets were identified in DHJSD for the treatment of osteoporosis, including 10 hub genes (AKT1, ALB, IL6, MAPK3, VEGFA, JUN, CASP3, EGFR, MYC, and EGF). Pathway enrichment analysis of target proteins indicated that osteoclast differentiation, AGE-RAGE signaling pathway in diabetic complications, Wnt signaling pathway, MAPK signaling pathway, PI3K-Akt signaling pathway, JAK-STAT signaling pathway, calcium signaling pathway, and TNF signaling pathway were the specifically major pathways regulated by DHJSD against osteoporosis. Further verification based on molecular docking results showed that the small molecule compounds (Quercetin, Kaempferol, Beta-sitosterol, Beta-carotene, and Formononetin) contained in DHJSD generally have excellent binding affinity to the macromolecular target proteins encoded by the top 10 genes.ConclusionThis study reveals the characteristics of multi-component, multi-target, and multi-pathway of DHJSD against osteoporosis and provides novel insights for verifying the mechanism of DHJSD in the treatment of osteoporosis.

Project description:BackgroundThe purpose of this study was to examine the mechanism of Duhuo Jisheng Decoction (DHJSD) in the treatment of intervertebral disc degeneration (IVDD).MethodsThe active compounds of DHJSD and their corresponding targets were obtained from the TCMSP database. "Intervertebral disc degeneration" was used as a search term in the DisGeNET, GeneCards, Comparative Toxicogenomics Database, and MalaCards database to obtain disease-related targets. Following the discovery of overlapping DHJSD and IVDD targets, enrichment analyses for Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Reactome, and WikiPathways were performed. Cytoscape 3.9.1 was used to build the "DHJSD-Active Ingredients-Target Genes-IVDD" network and protein-protein interaction network, and CytoHubba was used to screen the pivotal genes. Molecular docking confirmed the binding activity of hub genes and key components.ResultsThe bioinformatic analysis of DHJSD in the treatment of IVDD revealed 209 potential therapeutic gene targets, including 36 important gene targets and 10 of these crucial gene targets. Enrichment analysis of 36 key therapeutic targets showed that the biological processes involved in the Gene Ontology analysis of DHJSD in treating IVDD were mainly cytokine-mediated signaling pathway, inflammatory response, negative regulation of apoptotic process, and vascular endothelial growth factor production. The Kyoto Encyclopedia of Genes and Genomes signaling pathway is mainly involved in TNF signaling pathway, Th17 cell differentiation, IL-17 signaling pathway, and HIF-1 signaling pathway. The Recactome signaling pathway is mainly involved in cytokine signaling in immune system, cellular responses to stress, immune system, cytokines, and inflammatory response. HIF1A and PPARG regulation of glycolysis are mostly involved in the WikiPathways signaling system. The findings demonstrated that to cure IVDD, DHJSD affects the pathogenic processes of inflammation, extracellular matrix, cellular senescence, autophagy, apoptosis, focal death, and proliferation through the aforementioned targets and signaling pathways. The results of molecular docking demonstrated that the protein can be effectively bound by the DHJSD active component. Further evidence was provided for the molecular mechanism through which DHJSD works to treat IVDD.ConclusionThis study uncovers the multi-component, multi-target, and multi-pathway characteristics of DHJSD for the treatment of IVDD, offering fresh perspectives to further investigate the mechanism of DHJSD for the treatment of IVDD.

Project description:PurposeThe network pharmacology analysis, molecular docking and experimental verification were performed to explore the pharmacological mechanisms of Sancao Yuyang Decoction (SCYYD) in the treatment of oral mucositis (OM).MethodsActive ingredients in SCYYD and their potential targets, as well as OM-related targets were screened from public databases. The core targets and signaling pathways of SCYYD against OM were determined by protein-protein interaction (PPI) network, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The ingredient-target-disease network and target-pathway network were constructed. Subsequently, molecular docking was carried out to predict the binding activity between active ingredients and key targets. Moreover, in vivo experiment was conducted to further verify the core targets predicted by network pharmacology analysis.ResultsA total of 119 bioactive ingredients were screened from the corresponding databases. One hundred and eighty-six putative targets were retrieved and bioinformatics analysis was performed to reveal the top 5 potential candidate agents and 10 core targets. GO and KEGG enrichment analysis showed that SCYYD exerted excellent therapeutic effects on OM through several pathways, such as HIF-1 and Ras signaling pathway. Subsequently, molecular docking showed that main ingredients in SCYYD had optimal binding activities to the key protein targets. Moreover, the result of in vivo experiment indicated that SCYYD not only inhibited inflammation response and promoted wound healing of oral mucosa in OM rats, but also reversed high expressions of SRC, HSP90AA1, STAT3, HIF1α, mTOR, TLR4, MMP9, and low expression of ESR1.ConclusionThis study preliminarily uncovered the multiple compounds and multiple targets of SCYYD against OM using network pharmacology, molecular docking and in vivo verification, which provided a new insight of the pharmacological mechanisms of SCYYD in treatment of OM.

Dataset Information

Uncovering the Pharmacological Mechanism of Chaibei Zhixian Decoction on Epilepsy by Network Pharmacology Analysis.

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Uncovering the Pharmacological Mechanism of <i>Chaibei Zhixian</i> Decoction on Epilepsy by Network Pharmacology Analysis.

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