Anti-endometriosis Mechanism of Jiawei Foshou San Based on Network Pharmacology.
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ABSTRACT:
SUBMITTER: Chen Y
PROVIDER: S-EPMC6071511 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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Anti-endometriosis Mechanism of <i>Jiawei Foshou San</i> Based on Network Pharmacology.
Chen Yi Y Wei Jiahui J Zhang Ying Y Sun Wenwei W Li Zhuoheng Z Wang Qin Q Xu Xiaoyu X Li Cong C Li Panhong P
Frontiers in pharmacology 20180726
<i>Jiawei Foshou San</i> (JFS) is the new formula originated from classic <i>Foshou San</i> formula, composed with ligustrazine, ferulic acid, and tetrahydropalmatine. Previously JFS inhibited the growth of endometriosis (EMS) with unclear mechanism, especially in metastasis, invasion, and epithelial-mesenchymal transition. In this study, network pharmacology was performed to explore potential mechanism of JFS on EMS. Through compound-compound target and compound target-EMS target networks, key ...[more]
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Project description:Lung cancer is a malignancy characterized by high morbidity and mortality, with lung adenocarcinoma being the most prevalent subtype. Our preliminary studies have demonstrated that the Juan-Liu-San-Jie (JLSJ) prescription, a Traditional Chinese Medicine prescription, possesses anti-lung adenocarcinoma cancer properties. However, the molecular mechanism underlying the therapeutic effects of the JLSJ prescription for lung adenocarcinoma remains incompletely elucidated. To address the knowledge gap, the present study employed network pharmacology to identify potential therapeutic targets. Specifically, the study utilized TCMSP, TCMID, and related references, as well as ChemMapper, to identify and predict the main active components and potential targets. Additionally, differentially expressed genes associated with the disease were obtained from the microarray dataset GSE19804 and GSE118370. The protein-protein Interaction network and Target-pathway network were then constructed. We also conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and subsequently presented the top 20 enriched pathways. The results indicated that the anti-lung cancer effects of JLSJ prescription may be attributed to its ability to mediate apoptosis of tumor cells, potentially through the PI3K/Akt signaling pathway. Then, a series of in vitro and in vivo experiments were conducted to validate the molecular mechanism predicted by network pharmacology. The findings of the in vivo study suggested that the JLSJ prescription could inhibit the growth of xenograft tumors of lung adenocarcinoma with fewer adverse effects. Also, the in vitro experiments corroborated that the JLSJ prescription could induce apoptosis of A549 cells. Furthermore, the upregulation of pro-apoptosis-related proteins and mRNAs, coupled with the downregulation of anti-apoptotic-related proteins and mRNAs, was observed. In conclusion, inducing apoptosis by inhibiting the PI3K/Akt signaling pathway was one of the underlying mechanisms by which the JLSJ prescription exerted its anti-lung adenocarcinoma effect.
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Project description:BackgroundThis study sought to explore the anti-inflammatory mechanism of Wuyao (radix linderae)-Danshen (salviae miltiorrhiza) in endometriosis (EMS) based on network pharmacology and molecular docking.MethodsThe active constituents of Wuyao-Danshen were collected and identified using the Traditional Chinese Medicine Systems Pharmacology Database, and used to predict and identify the protein targets. The EMS targets and anti-inflammatory targets were obtained from Genecards, Online Mendelian Inheritance in Man, and Drugbank. The Search Tool for the Retrieval of Interacting Genes/Proteins database was used to analyze the protein interactions (PPIs) and core targets, and a target PPI network was constructed by importing the software of Cytoscape. The Metascape database was used to conduct enrichment analyses of the Gene Ontology (GO) functions and the Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways for the key anti-inflammatory targets of EMS. Finally, Autodock Vina software was used to verify the results of the active ingredients and key anti-inflammatory targets.ResultsThere were 8 active components in Wuyao, 65 in Danshen, and 591 corresponding protein targets in Danshen, and 375 in Wuyao, including luteolin, quercetin, vancomyl alcohol, and salvianol. One thousand and six hundred eighty-nine disease targets, 1,216 anti-inflammatory targets, and 144 key anti-inflammatory targets were identified, including the (signal transduction and transcriptional activator 3) STAT3, phosphatidyl inositol-3 kinase regulates subunit 1 (PIK3R1) and mitogen-activated protein kinase 1 (MAPK1) protein kinase B. Three hundred and fifty-three biological processes (BPs), 21 cellular components, and 25 molecular functions (MFs) were enriched with GO functions, and 108 KEGG pathways were enriched and analyzed, including the MAPK and PI3K-Akt signaling pathways. Molecular docking confirmed that luteolin, coumarin, and quercetin could bind to the key target proteins (i.e., STAT3, PIK3R1, and MAPK1).ConclusionsBased on network pharmacology and molecular docking, Wuyao-Danshen was found to act on EMS through anti-inflammatory targets and related signaling pathways. Our findings provide a basis for further research.
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Project description:BackgroundCough variant asthma (CVA) has no definitive diagnosis or pathogenic causes, and there is currently no effective and safe treatment.MethodsThe network pharmacology was employed to investigate possible targets of Zhisou San (ZSS) in CVA treatment. The main chemical constituents of seven herbs in ZSS were collected based on the TCMSP. To explain the main mechanism, we sequentially screened the targets of each active ingredient and constructed the network of "herb-ingredient-target-disease." The core targets of ZSS were further confirmed by the molecular docking analysis. Furthermore, pulmonary function, histopathology, and biochemical assays in mice were used to investigate the effect of ZSS on the treatment of CVA.ResultsA total of 137 active ingredients and 86 potential targets for the ZSS in the treatment of CVA were screened, which were connected with the regulation of inflammatory response and immune balance, such as IL-17 signaling pathway, Th17 cell differentiation, TNF signaling pathway, Toll-like receptor signaling pathway, MAPK signaling pathway, T-cell receptor signaling pathway, Th1 and Th2 cell differentiation, and other signaling pathways closely related to the pathogenesis of CVA. Thereinto, 29 core targets contained 8 of the highest scores and could evidently bind to components such as stigmasterol, quercetin, stemoninine B, luteolin, and β-sitosterol predicted by molecular docking. Furthermore, experiments in vivo were conducted for further validation that ZSS had essential effects on lung function and histopathology as well as the inflammatory state in CVA mice, which was significantly related to regulating the Th17/Treg immune balance to reduce inflammation as the important pharmacological mechanism.ConclusionThis study revealed that ZSS has multicomponent and multipathway characteristics of ZSS in the treatment of CVA, which was primarily associated with inflammation and Th17/Treg immune balance. This study provides a scientific foundation for systematically elaborating the pharmacological activities and mechanism of ZSS, as well as explaining the reliability of the TCM compatibility theory.
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Project description:β-carotene is known to have pharmacological effects such as anti-inflammatory, antioxidant, and anti-tumor properties. However, its main mechanism and related signaling pathways in the treatment of inflammation are still unclear. In this study, component target prediction was performed by using literature retrieval and the SwissTargetPrediction database. Disease targets were collected from various databases, including DisGeNET, OMIM, Drug Bank, and GeneCards. A protein-protein interaction (PPI) network was constructed, and enrichment analysis of gene ontology and biological pathways was carried out for important targets. The analysis showed that there were 191 unique targets of β-carotene after removing repeat sites. A total of 2067 targets from the three databases were integrated, 58 duplicate targets were removed, and 2009 potential disease action targets were obtained. Biological function enrichment analysis revealed 284 biological process (BP) entries, 31 cellular component (CC) entries, 55 molecular function (MF) entries, and 84 cellular pathways. The biological processes were mostly associated with various pathways and their regulation, whereas the cell components were mainly membrane components. The main molecular functions included RNA polymerase II transcription factor activity, DNA binding specific to the ligand activation sequence, DNA binding, steroid binding sequence-specific DNA binding, enzyme binding, and steroid hormone receptors. The pathways involved in the process included the TNF signaling pathway, sphingomyelin signaling pathway, and some disease pathways. Lastly, the anti-inflammatory signaling pathway of β-carotene was systematically analyzed using network pharmacology, while the molecular mechanism of β-carotene was further explored by molecular docking. In this study, the anti-inflammatory mechanism of β-carotene was preliminarily explored and predicted by bioinformatics methods, and further experiments will be designed to verify and confirm the predicted results, in order to finally reveal the anti-inflammatory mechanism of β-carotene.
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