Identification of anti-gastric cancer effects and molecular mechanisms of resveratrol: From network pharmacology and bioinformatics to experimental validation

BACKGROUND Gastric cancer(GC)is one of the most aggressive malignancies with limited therapeutic options and a poor prognosis.Resveratrol,a non-flavonoid poly-phenolic compound found in a variety of Chinese medicinal materials,has shown excellent anti-GC effect.However,its exact mechanisms of action in GC have not been clarified.AIM To identify the effects of resveratrol on GC progression and explore the related molecular mechanisms.METHODS Action targets of resveratrol and GC-related targets were screened from public databases.The overlapping targets between the two were confirmed using a Venn diagram,and a“Resveratrol-Target-GC”network was constructed using Cyto-scape software version 3.9.1.The protein-protein interaction(PPI)network was constructed using STRING database and core targets were identified by PPI network analysis.The Database for Annotation,Visualization and Integrated A total of 378 resveratrol action targets and 2154 GC disease targets were obtained from public databases,and 181 intersection targets between the two were screened by Venn diagram.The top 20 core targets were identified by PPI network analysis of the overlapping targets.GO function analysis mainly involved protein binding,identical protein binding,cytoplasm,nucleus,negative regulation of apoptotic process and response to xenobiotic stimulus.KEGG enrichment analysis suggested that the involved signaling pathways mainly included PI3K-AKT signaling pathway,MAPK signaling pathway,IL-17 signaling pathway,TNF signaling pathway,ErbB signaling pathway,etc.FBJ murine osteosarcoma viral oncogene homolog(FOS)and matrix metallopeptidase 9(MMP9)were selected by differential expression analysis,and they were closely associated with immune infiltration.Molecular docking results showed that resveratrol docked well with these two targets.Resveratrol treatment arrested the cell cycle at the S phase,induced apoptosis,and weakened viability,migration and invasion in a dose-dependent manner.Furthermore,resveratrol could exhibit anti-GC effect by regulating FOS and MMP9 expression.CONCLUSION The anti-GC effects of resveratrol are related to the inhibition of cell proliferation,migration,invasion and induction of cell cycle arrest and apoptosis by targeting FOS and MMP9.

Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action:Results of Data Mining,Network Pharmacology,and Molecular Docking

Objective To explore the medication rules of traditional Chinese medicine(TCM)and mechanism of action of hub herb pairs for treating insomnia.Methods Totally 104 prescriptions were statistically analyzed.The association rule algorithm was applied to mine the hub herb pairs.Network pharmacology was utilized to analyze the mechanism of the hub herb pairs,while molecular docking was applied to simulate the interaction between receptors and herb molecules,thereby predicting their binding affinities.Results The most frequently used herbs in TCM prescriptions for treating insomnia included Semen Ziziphi Spinosae,Radix Glycyrrhizae,Radix et Rhizoma Ginseng,and Poria cum Radix Pini.Among them,the most commonly used were the supplementing herbs,followed by heat-clearing,mind-calming,and exterior-releasing ones,with their properties of warm and cold,flavors of sweet,Pungent,and bitter,and meridian tropisms of liver,lungs,spleen,kidneys,heart,and stomach.The hub herb pairs based on the association rules included Radix Astragali-Radix et Rhizoma Ginseng,Rhizoma Chuanxiong-Radix Glycyrrhizae,Seman Platycladi-Semen Ziziphi Spinosae,Pericarpium Citri Reticulatae-Radix Glycyrrhizae,Radix Polygalae-Semen Ziziphi Spinosae,and Radix Astragali-Semen Ziziphi Spinosae.Network pharmacology revealed that the cAMP signaling pathway might play a key role in treating insomnia synergistically with HIF-1 signaling pathway,prolactin signaling pathway,chemical carcinogenesis receptor activation,and PI3K-Akt signaling pathway.Molecular docking indicated that there was good binding between the active ingredients of the hub herb pairs and the hub targets.Conclusions This study identified six hub herb pairs for treating insomnia in TCM.These hub herb pairs may synergistically treat insomnia with HIF-1 signaling pathway,prolactin signaling pathway,chemical carcinogenesis receptor activation,and PI3K-Akt signaling pathway through the cAMP signaling pathway.

Network pharmacology and molecular dynamics study of the effect of the Astragalus-Coptis drug pair on diabetic kidney disease

BACKGROUND Diabetic kidney disease(DKD)is the primary cause of end-stage renal disease.The Astragalus-Coptis drug pair is frequently employed in the management of DKD.However,the precise molecular mechanism underlying its therapeutic effect remains elusive.AIM To investigate the synergistic effects of multiple active ingredients in the Astragalus-Coptis drug pair on DKD through multiple targets and pathways.METHODS The ingredients of the Astragalus-Coptis drug pair were collected and screened using the TCMSP database and the SwissADME platform.The targets were predicted using the SwissTargetPrediction database,while the DKD differential gene expression analysis was obtained from the Gene Expression Omnibus database.DKD targets were acquired from the GeneCards,Online Mendelian Inheritance in Man database,and DisGeNET databases,with common targets identified through the Venny platform.The protein-protein interaction network and the“disease-active ingredient-target”network of the common targets were constructed utilizing the STRING database and Cytoscape software,followed by the analysis of the interaction relationships and further screening of key targets and core active ingredients.Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichments were performed using the DAVID database.The tissue and organ distributions of key targets were evaluated.PyMOL and AutoDock software validate the molecular docking between the core ingredients and key targets.Finally,molecular dynamics(MD)simulations were conducted to simulate the optimal complex formed by interactions between core ingredients and key target proteins.RESULTS A total of 27 active ingredients and 512 potential targets of the Astragalus-Coptis drug pair were identified.There were 273 common targets between DKD and the Astragalus-Coptis drug pair.Through protein-protein interaction network topology analysis,we identified 9 core active ingredients and 10 key targets.GO and KEGG pathway enrichment analyses revealed that Astragalus-Coptis drug pair treatment for DKD involves various biological processes,including protein phosphorylation,negative regulation of apoptosis,inflammatory response,and endoplasmic reticulum unfolded protein response.These pathways are mainly associated with the advanced glycation end products(AGE)-receptor for AGE products signaling pathway in diabetic complications,as well as the Lipid and atherosclerosis.Molecular docking and MD simulations demonstrated high affinity and stability between the core active ingredients and key targets.Notably,the quercetin-AKT serine/threonine kinase 1(AKT1)and quercetin-tumor necrosis factor(TNF)protein complexes exhibited exceptional stability.CONCLUSION This study demonstrated that DKD treatment with the Astragalus-Coptis drug pair involves multiple ingredients,targets,and signaling pathways.We propose a novel approach for investigating the molecular mechanism underlying the therapeutic effects of the Astragalus-Coptis drug pair on DKD.Furthermore,we suggest that quercetin is the most potent active ingredient and specifically targets AKT1 and TNF,providing a theoretical foundation for further exploration of pharmacologically active ingredients and elucidating their molecular mechanisms in DKD treatment.

Exploring the potential mechanism of WuFuYin against hypertrophic scar using network pharmacology and molecular docking

BACKGROUND Hypertrophic scar(HTS)is dermal fibroproliferative disorder,which may cause physiological and psychological problems.Currently,the potential mechanism of WuFuYin(WFY)in the treatment of HTS remained to be elucidated.AIM To explore the potential mechanism of WFY in treating HTS.METHODS Active components and corresponding targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform.HTSrelated genes were obtained from the GeneCards,DisGeNET,and National Center for Biotechnology Information.The function of targets was analyzed by performing Gene Ontology and Kyoto Encyclopaedia of Genes and Genome(KEGG)enrichment analysis.A protein+IBM-protein interaction(PPI)network was developed using STRING database and Cytoscape.To confirm the high affinity between compounds and targets,molecular docking was performed.RESULTS A total of 65 core genes,which were both related to compounds and HTS,were selected from multiple databases.PPI analysis showed that CKD2,ABCC1,MMP2,MMP9,glycogen synthase kinase 3 beta(GSK3B),PRARG,MMP3,and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit gamma(PIK3CG)were the hub targets and MOL004941,MOL004935,MOL004866,MOL004993,and MOL004989 were the key compounds of WFY against HTS.The results of KEGG enrichment analysis demonstrated that the function of most genes were enriched in the PI3K-Akt pathway.Moreover,by performing molecular docking,we confirmed that GSK3B and 8-prenylated eriodictyol shared the highest affinity.CONCLUSION The current findings showed that the GSK3B and cyclin dependent kinase 2 were the potential targets and MOL004941,MOL004989,and MOL004993 were the main compounds of WFY in HTS treatment.

Deciphering bioactive compounds of complex natural products by tandem mass spectral molecular networking combined with an aggregation-induced emission based probe

Natural products are great treasure troves for the discovery of bioactive components.Current bioassay guided fractionation for identification of bioactive components is time-and workload-consuming.In this study,we proposed a robust and convenient strategy for deciphering the bioactive profile of natural products by mass spectral molecular networking combined with rapid bioassay.As a proof-of-concept,the strategy was applied to identify angiotensin converting enzyme(ACE)inhibitors of Fangjihuangqi decoction(FJHQD),a traditional medicine clinically used for the treatment of heart failure.The chemical profile of FJHQD was comprehensively revealed with the assistance of tandem mass spectral molecular networking,and a total of 165 compounds were identified.With characterized constituents,potential clinical applications of FJHQD were predicted by Bioinformatics Analysis Tool for Molecular mech ANism of Traditional Chinese Medicine,and a range of cardiovascular related diseases were significantly enriched.ACE inhibitory activities of FJHQD and its constituents were then investigated with an aggregation-induced emission based fluorescent probe.FJHQD exhibited excellent ACE inhibitory effects,and a bioactive molecular network was established to elucidate the ACE inhibitory profile of constituents in FJHQD.This bioactive molecular network provided a panoramic view of FJHQD’s ACE inhibitory activities,which demonstrated that flavones from Astragali Radix and Glycyrrhizae Radix et Rhizoma,saponins from Astragali Radix,and sesquiterpenoids from Atractylodis Macrocephalae Rhizoma were principal components responsible for this effect of FJHQD.Among them,four novel ACE inhibitors were the first to be reported.Our study indicated that the proposed strategy offers a useful approach to uncover the bioactive profile of traditional medicines and provides a pragmatic workflow for exploring bioactive components.

Exploring the Mechanism of Action of Glyasperin A in Intervening Menopause Based on Network Pharmacology and Molecular Docking Technology

[Objectives]To investigate the mechanism of action of glyasperin A(GAA)in intervening menopause using network pharmacology and molecular docking technology.[Methods]All target names of the active ingredients were screened using TCMSP,3D model molecules converted into SMILES online tool,Swiss target prediction and literature search.The relevant target genes corresponding to menopause were identified using the Genecards database.Venn 2.1.0 was then used to generate the corresponding Venn diagram.Finally,the protein-protein interaction(PPI)network was constructed using Cytoscape 3.9.1 software.The core targets that were screened underwent enrichment and analysis using the Gene Ontology(GO)biological process and KEGG pathways with the assistance of the DAVID database and bioinformatics.The molecular docking was then verified using AutoDock and Pymol software on the core targets.[Results]This study screened 100 target genes of active ingredients.In the PPI network,ESR1 and AKT1 were found to have a higher degree.The GO and KEGG enrichment analyses revealed that the biological processes primarily involved platelet activation,regulation of circadian rhythms,and regulation of mRNA stability.The signalling pathways included hepatitis B,cytotoxicity,and gastric cancer.The molecular docking results indicated that the key active ingredients and proteins bound well,as evidenced by their small binding energies.[Conclusions]Using a systematic network pharmacology approach,this study predicts the basic pharmacological effects and potential mechanisms of GAA in intervening menopause,which provides a foundation for further research on its pharmacological mechanisms.

Network pharmacology combined with molecular docking revealed the potential targets of Coridius chinensis in prostate cancer treatment

BACKGROUND Prostate cancer(PCa)has high morbidity and mortality rates in elderly men.With a history of thousands of years,traditional Chinese medicine derived from insects could be an important source for developing cancer-targeted drugs to prevent tumorigenesis,enhance therapeutic effects,and reduce the risk of recurrence and metastasis.Multiple studies have shown that Coridius chinensis(Cc)has anticancer effects.AIM To elucidate the mechanism of action of Cc against PCa via network pharma-cology and molecular docking.METHODS Potential targets for Cc and PCa were predicted using ChemDraw 19.0 software,the PharmMapper database and the GeneCards database.Then,the STRING database was used to construct the protein–protein interaction network.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment and molecular docking analyses were subsequently conducted to identify the key targets,active ingredients and pathways involved.RESULTS GO and KEGG analyses indicated that the PI3K-Akt signalling pathway was the critical pathway(P value<1.0×10-8).Multiple targeting ingredients that can affect multiple pathways in PCa have been identified in Cc.Seven active compounds(asponguanosines A,asponguanine B,asponguanine C,aspong-pyrazine A,N-acetyldopamine,aspongadenine B and aspongpyrazine B)were selected for molecular docking with 9 potential targets,and the results revealed that aspongpyrazine A and asponguanosine A are the main components by which Cc affects PCa(affinity<-5 kcal/mol,hydrogen bonding),but more studies are needed.CONCLUSION We used network pharmacology to predict the bioactive components and important targets of Cc for the treatment of PCa,supporting the development of Cc as a natural anticancer agent.

Exploring the molecular mechanism of action of curcumin for the treatment of diabetic retinopathy,using network pharmacology,molecular docking,and molecular dynamics simulation

Background:Based on network pharmacology and molecular docking,the present study investigated the mechanism of curcumin(CUR)in diabetic retinopathy treatment.Methods:Based on the DisGeNET,Swiss TargetPrediction,GeneCards,Online Mendelian Inheritance in Man,Gene Expression Omnibus,and Comparative Toxicogenomics Database,the intersection core targets of CUR and diabetic retinopathy were identified.The intersection target was imported into the STRING database to obtain the protein-protein interaction map.According to the Database for Annotation,Visualization and Integrated Discovery database,the intersected targets were enriched in Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes pathways.Then Cytoscape 3.9.1 is used to make the drug-target-disease-pathway network.The mechanism of CUR and diabetic retinopathy was further verified by molecular docking and molecular dynamics simulation.Results:There were 203 intersecting targets of CUR and diabetic retinopathy identified.1320 GO entries were enriched for GO functions,which were primarily involved in the composition of cells such as identical protein binding,protein binding,enzyme binding,etc.It was found that 175 pathways were enriched using Kyoto Encyclopedia of Genes and Genomes pathway enrichment methods,which were mainly included in the lipid and atherosclerosis,AGE-RAGE signaling pathway in diabetic complications,pathways in cancer,etc.In the molecular docking analysis,CUR was found to have a good ability to bind to the core targets of albumin,IL-1B,and IL-6.The binding of albumin to CUR was further verified by molecular dynamics simulation.Conclusion:As a result of this study,CUR may exert a role in the treatment of diabetic retinopathy through multi-target and multi-pathway regulation,which indicates a possible direction of future research.

Exploring the molecular mechanism of Suoquan pill in the treatment of diabetic kidney disease based on network pharmacology,molecular docking,in vitro experiment

Background:Diabetic kidney disease(DKD)is a microvascular complication of diabetes mellitus and is the main cause of end-stage renal failure.Suoquan pills(SQP)has a variety of pharmacological activities and multiple therapeutic effects,and it is used clinically as a basic formula for the treatment of DKD.Methods:Public databases were used to identify SQP compounds and the potential targets of SQP and DKD.A drug-component-therapeutic target network was constructed.Protein-protein interaction network analysis,Gene Ontology functional analysis,and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were used to analyse the potential molecular mechanisms of SQP based on common targets of drugs and diseases.Molecular docking simulations were conducted to confirm the binding abity of the core compounds to key targets.The efficacy and predicted molecular mechanisms of SQP were validated using cell counting kit-8 assay,flow cytometry,and western blotting with HK-2 cells as a model.Results:Network pharmacology analysis showed that 26 compounds and 207 potential targets of SQP were involved in the treatment of DKD;boldine,denudatin B,pinocembrin,kaempferoid,and quercetin were considered core compounds,and epidermal growth factor receptor(EGFR)and proto-oncogene,non-receptor tyrosine kinase(SRC)were considered key targets.Gene Ontology enrichment analysis indicated that protein phosphorylation and negative regulation of apoptotic processes are important biological processes in the treatment of DKD by SQP.Molecular docking confirmed the excellent binding abilities of boldine,denudatin B,kaempferide,and quercetin to EGFR and SRC.The results of in vitro experiments showed that treatment with an ethanolic extract of SQP significantly protected HK-2 cells from high glucose-induced cell damage.In addition,the SQP ethanol extract inhibited the phosphorylation of EGFR and SRC,suppressed the apoptosis rate,and regulated apoptosis-related proteins in HK-2 cells under high glucose stress.Conclusion:This study systematically and intuitively illustrated the possible pharmacological mechanisms of SQP against DKD through multiple components,targets,and signalling pathways,especially the inhibition of EGFR and SRC phosphorylation and apoptosis.

The Mechanism of Celastrol in the Treatment of Metastatic Lung Adenocarcinoma Revealed by Network Pharmacology and Molecular Docking

Background: Celastrol is an active ingredient extracted from Traditional Chinese Medicine (TCM), which can restrain the progression of lung cancer, whereas its underlying mechanism is unclear. In our study, the underlying mechanism of celastrol in the treatment of lung adenocarcinoma (LUAD) with metastasis was investigated by network pharmacology and molecular docking. Method: Potential targets of celastrol were collected from TCMSP, Batman-TCM and GeneCard database, and its potential targets were predicted using the STP platform and the TargetNet server. Metastasis marker genes (MGs) were obtained from the HCMDB. The genes correlated with LUAD were gathered from the GeneCard and OMIM database. And the common targets among celastrol potential targets, MGs and LUAD were analyzed. The protein-protein interaction (PPI) networks were obtained from the STRING database. SangerBox and the Xiantao bioinformatics tool were applied to visualize GO and KEGG analysis. Molecular docking tested the binding affinity between celastrol and core genes. Result: A total of 107 targets of celastrol against metastasis LUAD were obtained. The core targets were obtained from the PPI network, namely AKT1, JUN, MYC, STAT3, IL6, TNF, NFKB1, BCL2, IL1B, and HIF1A. GO and KEGG enrichment analysis indicated celastrol for the treatment of metastasis LUAD most refers to cellular response to chemical stress, DNA-binding transcription factor binding, transcription regulator complex and pathways in cancer. And some of these targets are associated with differential expressions and survival rates in LUAD. Moreover, Molecular docking shows celastrol can bind with BCL2 well by hydrogen bond and hydrophobic interaction. Conclusion: This finding roundly expounded the core genes and potential mechanisms of celastrol for the treatment of metastasis LUAD, offering the theoretical basis and antitumor mechanism of TCM in the treatment of lung cancer.

Mechanism of Anti-tumor Effects of Viola Medicinal Materials Based on Network Pharmacology and Molecular Docking

[Objectives]To explore the relationship between anti-tumor components,targets,and pathways involved in Viola medicinal materials,study its main active components,and evaluate its inhibitory activity.[Methods]Through network pharmacological analysis,molecular docking simulation experiments and in vitro experiments,the main components and corresponding targets of Viola were screened out,and their anti-tumor signaling pathways were confirmed.MTT colorimetric assay was used to investigate the inhibitory effect of different extraction layers of Viola on the growth of tumor cells.[Results]18 anti-tumor active components such as 2α,19α-Dihydroxyursolic acid,Corlumine,Madolin U,Trifolirhizin and etc.,and 52 action targets such as PTGS2,PTGS1,P2RX7,MMP1,and GABRB3,and anti-tumor signaling pathways were confirmed.The results of molecular docking showed that all the selected Viola compounds had good binding activity.The results of MTT colorimetric assay showed that the petroleum ether layer and n-butanol layer had a good inhibitory effect on the growth of tumor cell lines.[Conclusions]Viola medicinal materials have the potential of anti-tumor,triterpenoids and flavonoids may be the main active components,and the petroleum ether layer and n-butanol layer have better inhibitory effect on the growth of tumor cells.

Mechanistic study of lipid metabolism disorders in diabetic kidney disease treated with GLQMP based on network pharmacology,molecular docking and in vitro experiments

Background:In this study,we used network pharmacology and molecular docking combined with vitro experiments to explore the potential mechanism of action of Gualou Qumai pill(GLQMP)against DKD.Methods:We screened effective compounds and drug targets using Chinese medicine systemic pharmacology database and analysis platform and Chinese medicine molecular mechanism bioinformatics analysis tools;and searched for DKD targets using human online Mendelian genetics and gene cards.The potential targets of GLQMP for DKD were obtained through the intersection of drug targets and disease targets.Cytoscape software was applied to build herbal medicine-active compound-target-disease networks and analyze them;protein-protein interaction networks were analyzed using the STRING database platform;gene ontology and Kyoto Encyclopedia of Genes and Genomes were used for gene ontology and gene and genome encyclopedia to enrich potential targets using the DAVID database;and the AutoDock Vina 1.1.2 software for molecular docking of key targets with corresponding key components.In vitro experiments were validated by CCK8,oil red O staining,TC,TG,RT-qPCR,and Western blot.Results:Through network pharmacology analysis,a total of 99 potential therapeutic targets of GLQMP for DKD and the corresponding 38 active compounds were obtained,and 5 core compounds were identified.By constructing the protein-protein interaction network and performing network topology analysis,we found that PPARA and PPARG were the key targets,and then we molecularly docked these two key targets with the 38 active compounds,especially the 5 core compounds,and found that PPARA and PPARG had good binding ability with a variety of compounds.In vitro experiments showed that GLQMP was able to ameliorate HK-2 cell injury under high glucose stress,improve cell viability,reduce TC and TG levels as well as decrease the accumulation of lipid droplets,and RT-qPCR and Western blot confirmed that GLQMP was able to promote the expression levels of PPARA and PPARG.Conclusion:Overall,this study revealed the active compounds,important targets and possible mechanisms of GLQMP treatment for DKD,and conducted preliminary verification experiments on its correctness,provided novel insights into the treatment of DKD by GLQMP.

Potential pharmacological mechanisms of digallate in the treatment of enteritis based on network pharmacology and molecular docking

Background:In order to investigate the possible pharmacological mechanism of digallate in Galla Chinensis for treating enteritis,providing reference for the search and exploration of effective drugs for treating enteritis.Method:Traditional Chinese Medicines Systems Pharmacology Database and Analysis Platform,PharmMapper,DisGeNET,DrugBank,and GeneCards databases were used to obtain drug and disease-related target information.Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment were performed,and the main therapeutic pathways and targets were identified by combining protein-protein interaction networks and cytoHubba plug-in.Molecular docking was used to validate the results.Result:297 drug related targets,2436 disease related targets,and 66 target points related to digallate were predicted to be associated with enteritis.10 related signal pathways and 10 key genes were identified.Conclusion:Digallate may be utilized to treat enteritis by acting on similar pathways,such those related to pathways in cancer,lipid and atherosclerosis,proteoglycans in cancer,Rap1 signaling pathway,PI3K-Akt signaling pathway and other targets such as IGF1,EGFR,SRC,IGF1R,PPARG.

Investigating the molecular mechanism of Chelidonii Herba against liver cancer using network pharmacology and molecular docking validation

Background:The molecular mechanism of Chelidonii Herba in treating hepatocellular carcinoma was investigated using network pharmacology and molecular docking validation.Methods:The main active components of Chelidonii Herba were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database,and the targets of these active ingredients were identified using the SwissTargetPrediction platform.Targets related to liver cancer were sourced from GeneCards,Therapeutic Targets Database,and Online Mendelian Inheritance in Man databases.Intersection targets between the active components of Chelidonii Herba and liver cancer were determined using the jvenn online platform.The protein interaction network was analyzed via STRING database and visualized using Cytoscape 3.9.1.Core targets were identified and further analyzed within the protein interaction network.Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted for the intersection targets using the DAVID database to correlate gene functions.Sankey bubble diagrams for Gene Ontology enrichment analysis and circular diagrams for Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were generated using CNSknowall and SangerBox online platforms.Molecular docking and visualization were performed using AutoDockTools 1.5.7 and PyMOL 2.5.7 software,respectively.Overall survival and pan-cancer analysis of core targets were conducted using the GEPIA2 online platform.Results:Twelve active components of Chelidonii Herba were identified through screening.A total of 103 intersection targets and 12 core targets were found between these active constituents of Chelidonii Herba and liver cancer.Chelidonii Herba may exert its effects on liver cancer through these 12 core targets.Several signaling pathways are implicated,including chemical carcinogen-receptor activation,endocrine resistance,HIF-1 signaling pathway,and proteoglycans in cancer.Conclusion:Chelidonii Herba potentially intervenes in cancer-related signaling pathways for treating liver cancer by targeting AKT1,EGFR,and ERBB2.This action is facilitated by active ingredients such as(S)-chrysocorydaline,dihydrochelidonorubin,cryptopine,and oxysanguinarine.Chelidonii Herba may address liver cancer through a mechanism involving multiple components,targets,and pathways.

Based on network pharmacology,molecular docking and experimental validation to reveal the potential molecular mechanism of quercetin for the treatment of diarrheal irritable bowel syndrome

Objective:To explore the potential mechanism of action of quercetin in the treatment of diarrhea irritable bowel syndrome(IBS-D).Methods:The potential targets of quercetin were obtained from the TCMSP,SwissTar-getPrediction,and BATMAN-TCM databases.The targets of IBS-D were obtained by searching the GeneCards database with"diarrhea irritable bowel syndrome"as the keyword,and the targets of quercetin and IBS-D were intersected.The PPI network was constructed by Cytoscape 3.7.1 software.The intersected targets were imported into the DAVID database for GO functional analysis and KEGG pathway enrichment analysis.The binding ability of quercetin to the core targets was observed using molecular docking.Based on this,we established an IBS-D rat model,administered quercetin for intervention,and experimentally validated the network pharmacology prediction results by HE staining and ELISA assay.Results:Network pharmacology analysis showed that TP53,TNF-α,AKT1,VEGF-A,IL-6 factors and MAPK,PI3K-Akt signaling pathway as the core targets and pathways of quercetin for the treatment of IBS-D.The results of animal experiments revealed that quercetin could inhibit the secretion of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,reduce the inflammatory response and improve IBS-D.Conclusion:Quercetin could protect colon tissue by regulating the expression of TP53,TNF-α,AKT1,VEGF-A,IL-1βand IL-6,thereby treating IBS-D.

Mechanism of Polygoni Cuspidati Rhizoma in treating atherosclerosis based on network pharmacology and molecular docking

Background:The incidence and prevalence of atherosclerosis(AS)is increasing every year and has becoming a major health issue of global concern.Polygoni Cuspidati Rhizoma(PCR)is a Chinese herb that is widely used clinically for the treating of AS.However,its pertinent targets and probable mechanisms,still need to be completely explored.Methods:Active compounds and targets for PCR and AS targets were screened using public databases.A“drug-component-disease target”network map was created and analyzed after using the Venn online tool to identify common targets and Cytoscape software to screen drug-disease core targets.Critical targets pathway enrichment analyses are conducted using the Metascape database.Using AutoDock Vina and Pymol software,docking validation and visualization of active components and core targets were carried out.Results:PCR was obtained for ten compounds with 105 AS-related targets.Rhein,quercetin,beta-sitosterol,and luteolin may be drug candidates,and the genes for AKT1,TNF,IL-6,EGFR,TP53,IL-1,RELA,and VEGFA are potential therapeutic targets,according to network analysis.PCR might modulate the AGE/RAGE,PI3K/Akt,IL-17 and NF-ᴋB signaling pathways against the development of AS.Molecular docking indicated that quercetin has high affinity for AKT1 and TNF gene targets.Conclusion:This study provides rare information and scientific basis for further exploration of PC in the treatment of AS.

Analysis of Lavandulyl Flavonoids from Sophora flavescens with Antiinflammatory Activity Based on Molecular Network Technology

[Objectives]This study was conducted to screen lavandulyl flavonoids with anti-inflammatory activity from Sophora flavescens.[Methods]35 compounds were screened from traditional Chinese medicine S.flavescens using the nitric oxide(NO)anti-inflammatory activity model.[Results]Five components,8(xanthohumol),13(kurarinol),27(4-methoxysalicylic acid),28(b-resorcic acid)and 30(b-resorcic acid),exhibited significant anti-inflammatory activity,with IC 50 values of 5.99,4.76,6.96,3.41 and 5.22μM,respectively.Especially,8(xanthohumol)and 13(kurarinol)were typical lavandulyl flavonoids in S.flavescens,which were worth further exploration.Furthermore,UPLC-Q-Exactive and GNPS molecular networking technique were used for rapid analysis of lavandulyl flavonoids from S.flavescens.A total of 15 components were identified.[Conclusions]This work lays a theoretical foundation for further separation and analysis of lavandulyl flavonoids with anti-inflammatory activity from S.flavescens.

Exploring the molecular mechanism of Baoyuan decoction in the treatment of lung cancer based on network pharmacology and molecular docking

Background:Baoyuan decoction is used clinically as an adjuvant treatment for lung cancer.However,the underlying mechanism remains unclear.Therefore,this study aimed to explore the mechanism of action of Baoyuan decoction in lung cancer treatment using network pharmacology and molecular docking technology.Methods:The Traditional Chinese Medicines Systems Pharmacology Database and Analysis Platform and SwissTargetPrediction databases were used to screen the active ingredients of Baoyuan decoction and their relevant targets.Lung cancer-related targets were obtained from the GeneCards,Online Mendelian Inheritance in Man,and DrugBank databases.Protein-protein interaction network of the common targets was constructed using the STRING database and analyzed using Cytoscape software 3.10.1.Furthermore,Gene Ontology enrichment,Kyoto Encyclopedia of Genes and Genomes pathway analyses and visualization of common genes were performed using the R software.Finally,molecular docking of the selected key ingredients and targets was performed,and the results were verified using AutoDock Vina software.Results:We identified 142 potential active ingredients,3624 potential lung cancer-related targets,and 341 common drug targets.A total of 72 core targets were identified,of which AKT1,TP53,interleukin-6,epithelial growth factor receptor,and signal transducer and activator of transcription 3 were key.A total of 4116 items were obtained via Gene Ontology enrichment analyses.Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses revealed 189 related signaling pathways,including the PI3K-Akt,AGE-RAGE signaling pathways in diabetic complications,FOXO,and TH signaling pathways,which are involved in cell proliferation,autophagy,metastasis,invasion,radiation resistance,and chemotherapy resistance in the lung cancer microenvironment.The molecular docking results suggested that the key ingredients had a strong affinity for key targets.Conclusion:This study demonstrates that Baoyuan decoction plays a key therapeutic role in a complex manner involving multiple ingredients,targets,and pathways in lung cancer.Our findings are anticipated to provide new ideas for follow-up experimental research and clinical application.

Mechanism of Gastrodia elata Bl. in the Treatment of Chronic Heart Failure Based on Network Pharmacology and Molecular Docking

[Objectives] To screen the active components and core targets of Gastrodia elata Bl. based on network pharmacology, and further explore its potential molecular mechanism in preventing and treating chronic heart failure (CHF).[Methods] The candidate active constituents of G. elata Bl. were screened by HERB, ETCM (Encyclopedia of Traditional Chinese Medicine) database, and bioinformatics analysis tool BATMAN-TCM platform, Swiss Target Prediction platform was used to predict compound targets, and CHF disease targets were searched in GeneCards and OMIM databases;the intersection targets were taken, and the String database and Cytoscape 3.10.0 software were used for protein-protein interaction (PPI) and topological analysis to obtain key active constituents and core target genes;the online tool bioinformatics platform was used for gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of common targets. Using the active constituent of G. elata Bl. as ligand and its core target as receptor, molecular docking visualization was carried out.[Results] 136 common targets of active constituents of G. elata Bl. and CHF were screened out, which mainly involved AGE-RAGE signaling pathway, lipid and atherosclerosis, interleukin-17 signaling pathway, non-alcoholic fatty liver, diabetic cardiomyopathy, cancer and other signaling pathways. The core target proteins mainly included albumin, catalytic subunit α activated by protein kinase CAMP, insulin gene, interleukin-1β, tumor necrosis factor, estrogen receptor 1, interferon γ, etc. The results of molecular docking showed that the ligand of the compound had good affinity with the target receptor.[Conclusions] G. elata Bl. prevents and treats CHF through multiple components, multiple targets, and multiple pathways. The potential mechanism of G. elata Bl. in treating CHF was preliminarily explored, providing a certain theoretical basis for subsequent research on its pharmacological material basis in treating CHF.

Mechanism of Camellia nitidissima Chi in Treating Premature Ovarian Failure Based on Network Pharmacology and Molecular Docking

[Objectives]This study was conducted to explore active components and molecular biological mechanisms of Camellia nitidissima Chi in the treatment of premature ovarian failure(POF).[Methods]The active components and corresponding targets of C.nitidissima Chi were retrieved through literature and the TCMSP database.POF-related disease targets were identified using the OMIM and Genecards databases.A PPI network was constructed using the STRING database and Cytoscape 3.10.2.A herb-active component-target-pathway network diagram was also constructed with Cytoscape 3.10.2.The CytoNCA plugin was used to screen out the top five core targets and core active components.GO and KEGG enrichment analyses of the intersecting targets were performed using DAVID.Finally,molecular docking was conducted using Auto Dock to verify the interaction between core targets and active components,and visualization was done using PyMol.[Results]A total of 26 active components and 461 targets of C.nitidissima Chi were identified,with 154 intersecting targets related to POF.The core components of the herb included 1,1'-bi-2-naphthol,3',4-O-dimethylcedrusin,eriodictyol,quercetin,and vanillin.The PPI network revealed that the main targets were epidermal growth factor receptor(EGFR),protein kinase B1(AKT1),proto-oncogene Src(SRC),hypoxia-inducible factor 1α(HIF1A),and estrogen receptor 1(ESR1).KEGG enrichment analysis revealed 10 pathways closely related to POF,mainly involving the PI3K-Akt signaling pathway,chemical carcinogenesis-reactive oxygen species,endocrine resistance,and the HIF-1 signaling pathway.Molecular docking results showed that the core active components had strong binding activity with the targets.[Conclusions]C.nitidissima Chi has multi-component,multi-target,and multi-pathway characteristics in the comprehensive treatment of POF,providing informational support for its clinical application.