scholarly journals A Network Pharmacology Perspective Investigation of the Pharmacological Mechanisms of the Herbal Drug FDY003 in Gastric Cancer

2022 ◽  
Vol 17 (1) ◽  
pp. 1934578X2110730
Author(s):  
Ho-Sung Lee ◽  
In-Hee Lee ◽  
Kyungrae Kang ◽  
Sang-In Park ◽  
Minho Jung ◽  
...  

Gastric cancer (GC) is one of the most common and deadly malignant tumors worldwide. While the application of herbal drugs for GC treatment is increasing, the multicompound–multitarget pharmacological mechanisms involved are yet to be elucidated. By adopting a network pharmacology strategy, we investigated the properties of the anticancer herbal drug FDY003 against GC. We found that FDY003 reduced the viability of human GC cells and enhanced their chemosensitivity. We also identified 8 active phytochemical compounds in FDY003 that target 70 GC-associated genes and proteins. Gene ontology (GO) enrichment analysis suggested that the targets of FDY003 are involved in various cellular processes, such as cellular proliferation, survival, and death. We further identified various major FDY003 target GC-associated pathways, including PIK3-Akt, MAPK, Ras, HIF-1, ErbB, and p53 pathways. Taken together, the overall analysis presents insight at the systems level into the pharmacological activity of FDY003 against GC.

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Huiping Liu ◽  
Liuting Zeng ◽  
Kailin Yang ◽  
Guomin Zhang

Aim.To explore the pharmacological mechanism of Xiaoyao powder (XYP) on anovulatory infertility by a network pharmacology approach.Method.Collect XYP’s active compounds by traditional Chinese medicine (TCM) databases, and input them into PharmMapper to get their targets. Then note these targets by Kyoto Encyclopedia of Genes and Genomes (KEGG) and filter out targets that can be noted by human signal pathway. Get the information of modern pharmacology of active compounds and recipe’s traditional effects through databases. Acquire infertility targets by Therapeutic Target Database (TTD). Collect the interactions of all the targets and other human proteins via String and INACT. Put all the targets into the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to do GO enrichment analysis. Finally, draw the network by Cytoscape by the information above.Result.Six network pictures and two GO enrichment analysis pictures are visualized.Conclusion.According to this network pharmacology approach some signal pathways of XYP acting on infertility are found for the first time. Some biological processes can also be identified as XYP’s effects on anovulatory infertility. We believe that evaluating the efficacy of TCM recipes and uncovering the pharmacological mechanism on a systematic level will be a significant method for future studies.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1583-1583
Author(s):  
Hiroyuki Matsui ◽  
Kotaro Shirakawa ◽  
Hsin-Yi Chang ◽  
Anamaria Daniela Sarca ◽  
Yasuhiro Kazuma ◽  
...  

Abstract Acetylation is a reversible process under the control of histone acetyltransferases (HATs) and histone deacetylases (HDACs). Acetyl proteome analysis revealed that acetylation regulates various cellular processes through both histone and non-histone proteins (Choudhary et al., Science, 2008). Subsets of diffuse large B cell lymphoma (DLBCL) and follicular lymphoma (FL) have inactivating mutations of HATs, CBP and p300 (Pasqualucci et al., Nature, 2011). In addition, p300 mutation is a poor prognostic factor in FL patients (Pastore et al., Lancet Oncol, 2015). In a mouse model, CBP deficiency promotes B cell lymphomagenesis through H3K27 deacetylation of enhancer mediated by the HDAC3, which forms repressor complex with Bcl-6, SMRT and NCoR (Jiang et al., Cancer Discov, 2016). Human HDACs consist of 18 isoenzymes that are classified into 4 classes (I-IV). Among the 4 classes, class I includes 4 HDACs (HDAC1, 2, 3 and 8) that are ubiquitous. Four HDAC inhibitors are FDA approved for the treatment of cutaneous T cell lymphoma (romidepsin, vorinostat), peripheral T cell lymphoma (belinostat) and multiple myeloma (panobinostat). These inhibitors mainly target class I and class II HDACs, each with a different specificity. This non-specific nature of current HDAC inhibitors limits their efficacy and causes adverse effects, therefore, several selective HDAC inhibitors has been developed. Selective HDAC3 inhibition restricts myeloma cell growth in vitro and in vivo more efficiently than selective HDAC1 or HDAC2 inhibition, allowing for DNMT1 acetylation, accelerating its degradation by the proteasome (Harada et al., Leukemia, 2017). However, the efficacy of selective HDAC3 inhibition against B cell lymphoma remains unclear. We first knocked down HDAC3 by shRNA in a B-cell lymphoma cell line (KIS1). We found that selective HDAC3 knock down suppressed cell growth and induced apoptosis. We next tested selective HDAC3 inhibitors (RGFP966 and AA-1) using five B cell lymphoma cell lines (Raji, Ramos, KIS1, SUDHL-6 and Granta519). We confirmed that these inhibitors reduced cell viability in all treated cell lines, significantly increased the number of apoptotic cells in Ramos, KIS1 and SUDHL-6 and induced cell cycle arrest in Raji and Granta519, rather than apoptosis. Lentiviral shRNA against HDAC3 or the inhibitors also led to the cleavage and subsequent activation of caspase9 and caspase3. These results show that HDAC3 inhibition induces apoptosis by activating the intrinsic apoptotic pathway. To clarify how HDAC3 inhibitors affect global protein acetylation and how they induce apoptosis in B cell lymphoma, we conducted acetyl proteome analysis using LC-MS/MS. Briefly, we immunoprecipitated acetyl lysine peptides from whole cell lysates of SUDHL-6 with or without RGFP966 treatment, and analyzed them by mass spectrometry. We identified 673 and 1,328 acetylation sites in RGFP966 treated and untreated samples, respectively, and 1,425 acetylation sites in total. Among these 1,425 sites, 153, including histones and HATs, were more than two fold upregulated in the RGFP966 treated sample. To identify which cellular processes are affected by RGFP966 treatment, we performed Gene Ontology (GO) enrichment analysis of the proteins with upregulated acetylation. GO enrichment analysis revealed that bromodomain, glycolysis and unfolded protein binding were significantly enriched terms upon RGFP966 treatment. Our data show that selective HDAC3 inhibition is also effective against B cell lymphoma and that protein folding and metabolic processes as well as epigenetic mechanisms might be involved in activation of the intrinsic apoptosis pathway upon HDAC3 inhibition. We discuss how acetylation of these proteins leads to cell growth inhibition and apoptosis in B cell lymphoma. Disclosures Takaori-Kondo: Bristol-Myers Squibb: Honoraria; Pfizer: Honoraria; Celgene: Honoraria, Research Funding; Novartis: Honoraria; Janssen Pharmaceuticals: Honoraria.


2021 ◽  
Author(s):  
yanni yang ◽  
yirixiati aihaiti ◽  
peng xu ◽  
haishi zheng

Abstract Purpose:To explore the potential target proteins underlying the effect of Angelicae Pubescentis Radix(APR) on rheumatoid arthritis (RA) using a network pharmacology and molecular docking approach .Methods:First, the active components and target proteins of APR and RA related disease targets were obtained from the TCMSP, Gene Card,OMIM,DisGeNET and STRING databases. Then the active ingredient target in the RA network diagram was drawn using Cytoscape 3.7.1 software. Protein-protein interaction analysis, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analyses were carried out using the STRING and David databases. The crystal structures of RA related targets were retrieved from the RCSB PDB database. Finally, the potential active compounds and their related targets were validated using molecular docking technology.Results: Five active components of Angelicae Pubescentis Radix(APR) were screened out, including ammidin, isoimperatorin, beta-sitosterol, O-acetylcolumbianetin and angelicone and 80 key targets including MAPK8,EGFR,PTGS2,CASPASE3,MTOR,SRC,KDR,MAPK1,NOS3 and MAPK14, etc were obtained. GO enrichment analysis showed that 222 biological processes, 34 cell components and 72 molecular functions were identified; KEGG analysis showed that the targets of APR in the treatment of RA were significantly enriched in pathways in cancer, the PI3K−Akt signaling pathway, Proteoglycans in cancer, osteoclast differentiation, neuroactive ligand−receptor interaction, tuberculosis,TNF signaling pathway, serotonergic synapse, Rap1 signaling pathway,cAMP signaling pathway. The results of molecular docking showed that ammidin, isoimperatorin, beta-sitosterol, O-acetylcolumbianetin and angelicone had strong affinity for PTGS2, EGFR and MAPK8.Conclusion: APR treats RA through the characteristics of multi-component, multi-target and multi-pathway regulation.


2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Zhipeng Hu ◽  
Maoyi Yang ◽  
Liangjun Yang ◽  
Chunguang Xie ◽  
Hong Gao ◽  
...  

Aim. The purpose of this research is to identify the mechanisms of Shen-Qi compound formula (SQC), a traditional Chinese medicine (TCM), for treating diabetes mellitus (DM) using system pharmacology. Methods. The active components and therapeutic targets were identified, and these targets were analyzed using gene ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein-protein interaction (PPI) analysis. Finally, an integrated pathway was constructed to show the mechanisms of SQC. Results. A total of 282 active components and 195 targets were identified through a database search. The component-target network was constructed, and the key components were screened out according to their degree. Through the GO, PPI, and KEGG analyses, the mechanism network of SQC treating DM was constructed. Conclusions. This study shows that the mechanisms of SQC treating DM are related to various pathways and targets. This study provides a good foundation and basis for further in-depth verification and clinical application.


2021 ◽  
Vol 233 ◽  
pp. 02007
Author(s):  
Dongjun Li ◽  
Denghui Wang ◽  
Shikai Yan

Objective: To explore the potential molecular mechanism of Lycii Cortex in treating type 2 diabetes mellitus (T2DM) by virtue of network pharmacology and molecular docking method. Methods: Ingredients of Lycii Cortex were collected from TCMSP and BATMAN-TCM databases, and the corresponding targets and T2DM-related targets were obtained respectively from SwissTargetPrediction and GenCards databases. Venn diagram was applied to derive the potential active components and effect targets of Lycii Cortex in the treatment of T2DM. GO enrichment analysis and KEGG pathway analysis were performed in the database of DAVID. Cytoscape 3.6.1 was used to produce the “core components-core targets” network. The molecular docking between core components and core targets was implemented through Autodock Vina. Results: Six core components and twelve core targets of Lycii Cortex in treating T2DM were identified. GO enrichment analysis and KEGG pathway analysis suggested the following signaling pathways and biological processes were involved in the treatment of T2DM by Lycii Cortex: PI3K-Akt signaling pathway, TNF signaling pathway, HIF-1 signaling pathway, Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, and peptidyl-threonine phosphorylation, the positive regulation of cyclase activity, the positive regulation of genetic expression, and lipoprotein translocation. The binding results demonstrated a relatively high affinity between core components of Lycii Cortex, including kulactone, hederagenin, scopolin, etc., and core targets, containing IL6, PPARγ, TNF, and mTOR, indicating the efficacy of Lycii Cortex in treating T2DM. Conclusion: Lycii Cortex plays a role in the treatment of T2DM with its ingredients such as kulactone, linarin, hederagenin, and scopolin regulating glycometabolism, affecting cell apoptosis and weakening inflammatory response through targets like IL6, PPARγ, TNF, and mTOR.


2020 ◽  
Author(s):  
Tingting Wang ◽  
Yanwen Xu ◽  
Wanli Ji ◽  
Rui An

Abstract Background: Gegen Qinlian Decoction(GQD) has been used to treat acute colitis (AC) for several years in China and it has shown good efficacy. However, the active components and target proteins of its anti-AC effects remains to be deciphered. Methods: In this study, serum pharmacochemistry and network pharmacology strategy were integrated to identify the constituents in blood and the mechanism of GQD for the treatment of AC. Ultra-performance liquid chromatography and LTQ-Orbitrap mass spectrometry(UPLC-LTQ-Orbitrap-MS) was used to identify the absorbed components of GQD in rat serum; molecular docking and compound-target network analysis were used to predict candidate targets and critical components in GQD responsible for efficacy; In addition, the Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis and Gene Ontology(GO) enrichment analysis were used to predict the related pathways and biological process respectively; Finally, the model rats with acute colitis were induced by DSS(Dextran Sulfact Sodium) in order to verify the effects and potential mechanism of baicalein, which is an important component of GQD. Results: Based on our comprehensive systematic approach, 23 components were successfully identified in rat serum after oral administration of GQD. The predicted results of molecular docking indicated that these 23 active components closely interacted with 41 protein targets associated with inflammation, immunity and enteric mucos. Among the 23 compounds identified, baicalin, baicalein, wogonoside , liquiritin and daidzin may be the most important components of GQD. Futhermore, according to GO enrichment analysis, the 41 candidate targets identified were mainly involved in two biological process, immune system process and inflammatory response. The KEGG pathway analysis revealed that 41 candidate targets were associated with 62 biological pathways, including HIF-1 signaling pathway and PI3K/Akt signaling pathway. Animal experiments found that baicalein could inhibit the activation of PI3K/Akt/HIF-1 signaling pathway and significantly reduce pro-inflammatory cytokines, such as IL-1β, IL-6, IL-8 and TNF-α to alleviate intestinal mucosal damage and achieve a therapeutic effect on AC. Conclusion: This research not only provides a novel and scientific strategy to better understand the complex mechanism of GQD, but also offers a new perspective to identify and/or discover novel active ingredients of TCM drugs.


2021 ◽  
Author(s):  
Hang Zhang ◽  
Wenhan Zhou ◽  
Xiaoyi Yang ◽  
Shuzhan Wen ◽  
Baicheng Zhao ◽  
...  

Abstract Background PTEN is a multifunctional tumor suppressor gene mutating at high frequency in a variety of cancers. However, its expression in pan-cancer, correlated genes, survival prognosis, and regulatory pathways are not completely described. Here, we aimed to conduct a comprehensive analysis from the above perspectives in order to provide reference for clinical application. Methods we studied the expression levels in cancers by using data from TCGA and GTEx database. Obtain expression box plot from UALCAN database. Perform mutation analysis on the cBioportal website. Obtain correlation genes on the GEPIA website. Construct protein network and perform KEGG and GO enrichment analysis on the STRING database. Perform prognostic analysis on the Kaplan-Meier Plotter website. We also performed transcription factor prediction on the PROMO database and performed RNA-RNA association and RNA-protein interaction on the RNAup Web server and RPISEq. The gene 3D structure, protein sequence and conserved domain were obtained in NCBI respectively. Results PTEN was underexpressed in all cancers we studied. It was closely related to the clinical stage of tumors, suggesting PTEN may involved in cancer development and progression. The mutations of PTEN were present in a variety of cancers, most of which were truncation mutations and missense mutations. Among cancers (KIRC, LUAD, THYM, UCEC, Gastric Cancer, Liver Cancer, Lung Cancer, Breast Cancer), patients with low expression of PTEN had a shorter OS time and poorer OS prognosis. The low expression of PTEN can cause the deterioration of RFS in certain cancers (TGCT, UCEC, LIHC, LUAD, THCA), suggesting that the expression of PTEN was related to the clinical prognosis. Our study identified genes correlated with PTEN and performed GO enrichment analysis on 100 PTEN-related genes obtained from the GEPIA website. Conclusions The understanding of PTEN gene and the in-depth exploration of its related regulatory pathways may provide insight for the discovery of tumor-specific biomarkers and clinical potential therapeutic targets.


2020 ◽  
Author(s):  
Vijayakrishna Kolur ◽  
Basavaraj Vastrad ◽  
Chanabasayya Vastrad ◽  
Iranna Kotturshetti ◽  
Anandkumar Tengli

Abstract BackgroundCoronary artery disease (CAD) is one of the most common disorders in the cardiovascular system. This study aims to explore potential signaling pathways and important biomarkers that drive CAD development. MethodsThe CAD GEO Dataset GSE113079 was featured to screen differentially expressed genes (DEGs). The pathway and Gene Ontology (GO) enrichment analysis of DEGs were analyzed using the ToppGene. We screened hub and target genes from protein-protein interaction (PPI) networks, target gene - miRNA regulatory network and target gene - TF regulatory network, and Cytoscape software. Validations of hub genes were performed to evaluate their potential prognostic and diagnostic value for CAD. Results1,036 DEGs were captured according to screening criteria (525upregulated genes and 511downregulated genes). Pathway and Gene Ontology (GO) enrichment analysis of DEGs revealed that these up and down regulated genes are mainly enriched in thyronamine and iodothyronamine metabolism, cytokine-cytokine receptor interaction, nervous system process, cell cycle and nuclear membrane. Hub genes were validated to find out potential prognostic biomarkers, diagnostic biomarkers and novel therapeutic target for CAD. ConclusionsIn summary, our findings discovered pivotal gene expression signatures and signaling pathways in the progression of CAD. CAPN13, ACTBL2, ERBB3, GATA4, GNB4, NOTCH2, EXOSC10, RNF2, PSMA1 and PRKAA1 might contribute to the progression of CAD, which could have potential as biomarkers or therapeutic targets for CAD.


Diagnostics ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 39
Author(s):  
◽  
Chanabasayya Vastrad ◽  
◽  

: Epithelial ovarian cancer (EOC) is the18th most common cancer worldwide and the 8th most common in women. The aim of this study was to diagnose the potential importance of, as well as novel genes linked with, EOC and to provide valid biological information for further research. The gene expression profiles of E-MTAB-3706 which contained four high-grade ovarian epithelial cancer samples, four normal fallopian tube samples and four normal ovarian epithelium samples were downloaded from the ArrayExpress database. Pathway enrichment and Gene Ontology (GO) enrichment analysis of differentially expressed genes (DEGs) were performed, and protein-protein interaction (PPI) network, microRNA-target gene regulatory network and TFs (transcription factors ) -target gene regulatory network for up- and down-regulated were analyzed using Cytoscape. In total, 552 DEGs were found, including 276 up-regulated and 276 down-regulated DEGs. Pathway enrichment analysis demonstrated that most DEGs were significantly enriched in chemical carcinogenesis, urea cycle, cell adhesion molecules and creatine biosynthesis. GO enrichment analysis showed that most DEGs were significantly enriched in translation, nucleosome, extracellular matrix organization and extracellular matrix. From protein-protein interaction network (PPI) analysis, modules, microRNA-target gene regulatory network and TFs-target gene regulatory network for up- and down-regulated, and the top hub genes such as E2F4, SRPK2, A2M, CDH1, MAP1LC3A, UCHL1, HLA-C (major histocompatibility complex, class I, C) , VAT1, ECM1 and SNRPN (small nuclear ribonucleoprotein polypeptide N) were associated in pathogenesis of EOC. The high expression levels of the hub genes such as CEBPD (CCAAT enhancer binding protein delta) and MID2 in stages 3 and 4 were validated in the TCGA (The Cancer Genome Atlas) database. CEBPD andMID2 were associated with the worst overall survival rates in EOC. In conclusion, the current study diagnosed DEGs between normal and EOC samples, which could improve our understanding of the molecular mechanisms in the progression of EOC. These new key biomarkers might be used as therapeutic targets for EOC.


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