Advances in ethnopharmacology,phytochemistry and pharmacology of Erigerontis Herba and its Chinese medicine prescriptions

Erigerontis Herba(EH),the dried whole plant of Erigeron breviscapus,is well-known for circulating blood,activating meridians to alleviate pain,expelling wind,and clearing away cold.It has been extensively utilized in southern China for the treatment of stroke hemiplegia,chest stuffiness and pains,rheumatic arthralgia,headache,and toothache.This review focuses on the botany,ethnopharmacology,phytochemistry,pharmacology and toxicity of EH and its related prescriptions to offer new insights for prospective research of EH.Relevant information about EH was retrieved from ancient records and books,PubMed,China National Knowledge Infrastructure,Chinese Pharmacopoeia,Web of Science,Doctoral and Master’s Theses,and various electronic databases.EH is a member of Compositae family and is mainly grown in southern China.Traditional Chinese medicine records that EH has the effects of circulating blood and removing blood stasis,expelling wind,and removing cold,as well as relieving rigidity of muscle and relieving pain.By now,nearly 200 ingredients have been characterized from EH,including flavonoids,caffeoyls,aromatic acids,coumarins,pentacyclic terpenoids,volatile oil and other compounds.EH extracts,EH related prescriptions(Dengzhan Xixin injection,Dengzhan Shengmai capsules,etc.)or compounds(scutellarin,scutellarein,etc.)possessed obvious therapeutic effects of ischemic stroke,cerebral hemorrhage,myocardial infarction,Alzheimer’s disease,diabetes and its complications,gastric cancer,bone,and joint degenerative diseases.Scutellarin,the major active compound of EH,has been used as a quality marker.And no obvious toxicity of EH has been reported.According to its traditional applications,ethnopharmacology,phytochemistry,pharmacology,and toxicity,EH was applied as a valuable herb for clinical application in food and medicine fields.While several compounds have been shown to possess diverse biological activities,the underlying mechanisms of their actions remain elusive.To fully exploit the medicinal potential of EH,further studies on understanding the effective material basis and mechanisms are warranted.

Unraveling the mechanism of action of Shangxia Liangji formula for treating insomnia:a metabolomics and network pharmacology approach

Background:Insomnia is a prevalent clinical condition and Shangxia Liangji formula(SXLJF)is a well-established method of treatment.Nevertheless,the specific mechanism of action of SXLJF remains unclear.Methods:The mouse model of insomnia was established by intraperitoneal injection of para-chlorophenylalanine.Forty-two mice were randomly divided into a negative control group,model group,SXLJF group(18.72 g/kg/day),and positive control group(diazepam,2 mg/kg)and treated with the corresponding drugs for 7 consecutive days.The open field test and pentobarbital-induced sleeping test were conducted.LC-MS-based untargeted metabolomics and network pharmacology were applied to explore the potential targets of SXLJF for treating insomnia.Finally,key targets were validated using RT-qPCR.Results:Behavioral tests demonstrated that SXLJF reduced the total distance,average velocity,central distance,and sleep latency,and prolonged sleep duration.Metabolomics and network pharmacology revealed potential targets,signaling pathways,metabolic pathways,and metabolites associated with the anti-insomnia effects of SXLJF.Specifically,tyrosine hydroxylase(TH)and tyrosine metabolism emerged as crucial metabolic pathways and targets,respectively.RT-qPCR results supported the role of TH in the mechanism of SXLJF in treating insomnia.Conclusion:In conclusion,TH and tyrosine metabolism may represent significant targets and pathways for SXLJF in treating insomnia.

Mechanistic insights into the amelioration effects of diabetic cardiomyopathy by berberine:an integrated systems pharmacology study and experimental validation

Background:Diabetic cardiomyopathy(DCM)is a type of cardiomyopathy caused by long-term diabetes,characterized by abnormal myocardial structure and function,which can lead to heart failure.Berberine(BBR),a quaternary ammonium alkaloid isolated from Coptidis Rhizoma,a traditional Chinese medicine,has superior anti-diabetic and heart-protective properties.The purpose of this study is to assess the impact of BBR on DCM.Methods:This study used a systems pharmacology approach to evaluate the related proteins and signalling pathways between BBR and DCM targets,combined with experimental validation using diabetic mouse heart sections.Microstructural and pathological changes were observed using Hematoxylin-eosin,Masson’s trichrome stain and wheat germ agglutinin staining.Immunofluorescence and western blot were used to determine protein expression.Results:The results indicate that BBR and DCM share 21 core relevant targets,with cross-targets predominantly located in mitochondrial,endoplasmic reticulum,and plasma membrane components.BBR exerts its main effects in improving DCM by maintaining mitochondrial integrity,particularly involving the PI3K-AKT-GSK3βand apoptosis signalling pathways.In addition,post-treatment changes in the key targets of BBR,including cysteine aspartate specific protease(Caspase)-3,phosphoinositide 3-kinase(PI3K)and mitochondria-related proteins,are suggestive of its efficacy.Conclusion:BBR crucially improves DCM by maintaining mitochondrial integrity,inhibiting apoptosis,and modulating PI3K-AKT-GSK3βsignaling.Further studies must address animal model limitations and validate clinical efficacy to understand BBR’s mechanisms fully and its potential clinical use.

Integrated network pharmacology and metabolomics to explore the mechanisms of Shenzao dripping pill against chronic myocardial ischemia

Background:Shenzao dripping pill(SZDP)is empirically prescribed for treating cardiac diseases.Nevertheless,there is a lack of comprehensive knowledge regarding the underlying mechanisms contributing to its therapeutic effects.The objective of this study is to investigate the underlying mechanism of SZDP against chronic myocardial ischemia(CMI)in a rat model.Methods:In this study,we utilized electrocardiographic and echocardiographic detection along with pathological tissue analysis to evaluate the efficacy of SZDP.The integration of network pharmacology and metabolomics was conducted to investigate the mechanisms.Molecular docking and molecular dynamics simulations were used to validate the binding energy between the compounds of SZDP and the associated targets.Results:The results showed that SZDP was able to improve T wave voltage,reverse CMI abnormalities in ejection fraction and fractional shortening,and restore histopathological heart damage.Metabolomics results indicated that disturbances of metabolic profile in CMI rats were partly corrected after SZDP administration,mainly affecting purine metabolism.13-Docosenamide may be the potential metabolic biomarker of the therapeutic application of SZDP for CMI.Integrating network pharmacology and metabolomics,thiopurine S-methyltransferase(TPMT),xanthine dehydrogenase/oxidase(XDH),bifunctional purine biosynthesis protein ATIC(ATIC),and cytochrome p4501A1(CYP1A1)were identified as possible targets of SZDP to exert therapeutic effects by enhancing the metabolic levels of L-Tryptophan,Deoxyribose 1-phosphate and Phosphoribosyl formamidocarboxamide.Conclusion:SZDP has a therapeutic effect on CMI by regulating metabolite levels,acting on the targets of TMPT,XDH,ATIC,and CYP1A1,and reducing cardiomyocyte injury and myocardial fibrosis.

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.

Network pharmacology study and in vitro experimental validation of Xiaojianzhong decoction against gastric cancer

BACKGROUND Cancer is one of the most serious threats to human health worldwide.Conventional treatments such as surgery and chemotherapy are associated with some drawbacks.In recent years,traditional Chinese medicine treatment has been increasingly advocated by patients and attracted attention from clinicians,and has become an indispensable part of the comprehensive treatment for gastric cancer.AIM To investigate the mechanism of Xiaojianzhong decoction(XJZ)in the treatment of gastric cancer(GC)by utilizing network pharmacology and experimental validation,so as to provide a theoretical basis for later experimental research.METHODS We analyzed the mechanism and targets of XJZ in the treatment of GC through network pharmacology and bioinformatics.Subsequently,we verified the impact of XJZ treatment on the proliferative ability of GC cells through CCK-8,apoptosis,cell cycle,and clone formation assays.Additionally,we performed Western blot analysis and real-time quantitative PCR to assess the protein and mRNA expression of the core proteins.RESULTS XJZ mainly regulates IL6,PTGS2,CCL2,MMP9,MMP2,HMOX1,and other target genes and pathways in cancer to treat GC.The inhibition of cell viability,the increase of apoptosis,the blockage of the cell cycle at the G0/G1 phase,and the inhibition of the ability of cell clone formation were observed in AGS and HGC-27 cells after XJZ treatment.In addition,XJZ induced a decrease in the mRNA expression of IL6,PTGS2,MMP9,MMP2,and CCL2,and an increase in the mRNA expression of HOMX1.XJZ significantly inhibited the expression of IL6,PTGS2,MMP9,MMP2,and CCL2 proteins and promoted the expression of the heme oxygenase-1 protein.CONCLUSION XJZ exerts therapeutic effects against GC through multiple components,multiple targets,and multiple pathways.Our findings provide a new idea and scientific basis for further research on the molecular mechanisms underlying the therapeutic effects of XJZ in the treatment of GC.

Protective mechanism of quercetin in alleviating sepsis-related acute respiratory distress syndrome based on network pharmacology and in vitro experiments

BACKGROUND:Sepsis-related acute respiratory distress syndrome(ARDS)has a high mortality rate,and no effective treatment is available currently.Quercetin is a natural plant product with many pharmacological activities,such as antioxidative,anti-apoptotic,and anti-inflammatory effects.This study aimed to elucidate the protective mechanism of quercetin against sepsis-related ARDS.METHODS:In this study,network pharmacology and in vitro experiments were used to investigate the underlying mechanisms of quercetin against sepsis-related ARDS.Core targets and signaling pathways of quercetin against sepsis-related ARDS were screened and were verified by in vitro experiments.RESULTS:A total of 4,230 targets of quercetin,360 disease targets of sepsis-related ARDS,and 211 intersection targets were obtained via database screening.Among the 211 intersection targets,interleukin-6(IL-6),tumor necrosis factor(TNF),albumin(ALB),AKT serine/threonine kinase 1(AKT1),and interleukin-1β(IL-1β)were identified as the core targets.A Gene Ontology(GO)enrichment analysis revealed 894 genes involved in the inflammatory response,apoptosis regulation,and response to hypoxia.Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis identified 106 pathways.After eliminating and generalizing,the hypoxia-inducible factor-1(HIF-1),TNF,nuclear factor-κB(NF-κB),and nucleotide-binding and oligomerization domain(NOD)-like receptor signaling pathways were identified.Molecular docking revealed that quercetin had good binding activity with the core targets.Moreover,quercetin blocked the HIF-1,TNF,NF-κB,and NODlike receptor signaling pathways in lipopolysaccharide(LPS)-induced murine alveolar macrophage(MH-S)cells.It also suppressed the inflammatory response,oxidative reactions,and cell apoptosis.CONCLUSION:Quercetin ameliorates sepsis-related ARDS by binding to its core targets and blocking the HIF-1,TNF,NF-κB,and NOD-like receptor signaling pathways to reduce inflammation,cell apoptosis,and oxidative stress.

Curcumin for gastric cancer:Mechanism prediction via network pharmacology,docking,and in vitro experiments

BACKGROUND Curcumin originates from the natural herb turmeric,and its antitumor effects have been known about for a long time.However,the mechanism by which curcumin affects gastric cancer(GC)has not been elucidated.AIM To elucidate the potential mechanisms of curcumin in the treatment of GC.METHODS Network pharmacological approaches were used to perform network analysis of Curcumin.We first analyzed Lipinski’s Rule of Five for the use of Curcumin.Curcumin latent targets were predicted using the PharmMapper,SwissTargetPrediction and DrugBank network databases.GC disease targets were mined through the GeneCard,OMIM,DrugBank and TTD network databases.Then,GO enrichment,KEGG enrichment,protein-protein interaction(PPI),and overall survival analyses were performed.The results were further verified through molecular docking,differential expression analysis and cell experiments.RESULTS We identified a total of 48 curcumin-related genes with 31 overlapping GC-related targets.The intersection targets between curcumin and GC have been enriched in 81 GO biological processes and 22 significant pathways.Following PPI analysis,6 hub targets were identified,namely,estrogen receptor 1(ESR1),epidermal growth factor receptor(EGFR),cytochrome P450 family 3 subfamily A member 4(CYP3A4),mitogen-activated protein kinase 14(MAPK-14),cytochrome P450 family 1 subfamily A member 2(CYP1A2),and cytochrome p450 family 2 subfamily B member 6(CYP2B6).These factors are correlated with decreased survival rates among patients diagnosed with GC.Molecular docking analysis further substantiated the strong binding interactions between Curcumin and the hub target genes.The experimental findings demonstrated that curcumin not only effectively inhibits the growth of BGC-823 cells but also suppresses their proliferation.mRNA levels of hub targets CYP3A4,MAPK14,CYP1A2,and CYP2B6 in BGC-823 cells were significantly increased in each dose group.CONCLUSION Curcumin can play an anti-GC role through a variety of targets,pathways and biological processes.

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.

Mechanism of Cangfu Daotan pill in treating polycystic ovary syndrome based on network pharmacology

Objective:To explore the target and molecular mechanism of Cangfu Daotan pill in the treatment of polycystic ovary syndrome(PCOS)by network pharmacology.Methods:The main active components and corresponding targets of Cangfu Daotan pills were searched in the database of traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP).GeneCards database and OMIM database were used to search for disease targets of PCOS;the intersection of the target of Cangfu Daotan pill and the disease target of PCOS was drawn by using R to obtain the intersection gene;protein interaction network was constructed through String online database;Cytoscape(3.2.1)was used to construct a‘major component-disease-target’network diagram and analyze the important nodes therein;KEGG and GO enrichment analyses were carried out on the obtained intersection genes through org data packets in R.Results:Network pharmacology analysis showed that 151 active ingredients involved in pathways were screened out,140 of which acted on PCOS,and 105 potential targets were used to exert therapeutic effects.After enrichment,1900 GO biological signals and 143 KEGG signals were obtained,and the first 14 drug targets were screened out.Conclusion:Cangfu Daotan pill may mediate gene transcription regulation,lipid metabolism,inflammatory micro environment,insulin resistance,sex hormone axis,arteriosclerosis,interleukin immune regulation and other signals through regulating key targets of JUN,MAPK3,HSP90AA1,MAPK1,ESR1,NR3C1,APP,MAPK14,MAPK8,VEGFA,EGFR,RB1,AR,IL6,mediate gene transcription regulation,lipid metabolism,inflammatory micro environment,insulin resistance,sex hormone axis,arteriosclerosis,interleukin immune regulation,etc.,and regulate biological processes such as drug reaction,nutrition and lipid metabolism,active oxygen,sugar metabolism,steroid hormone,etc.to achieve the effect of treating polycystic ovary syndrome.

Integrated UHPLC-MS and network pharmacology to explore the active constituents and pharmacological mechanisms of Shenzao dripping pills against coronary heart disease

Background:Shenzao dripping pills(SZDP)is an empirical prescription of traditional Chinese medicine that is mainly used to treat coronary heart disease.However,the chemical composition and pharmacological mechanisms of SZDP are unknown.Methods:In this study,ultra-high performance liquid chromatography-quadruple-Exactive Orbitrap mass spectrometry was used to identify the chemical components in extracts and medicated plasma of SZDP.Subsequently,we performed network pharmacology methods,including target prediction by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine,protein-protein interaction network via STRING database;further,the key targets and compounds were screened using Cytoscape.Finally,the key targets and compounds were validated by molecular docking.Results:72 chemical constituents were identified from SZDP by high performance liquid chromatography and mass spectrometry technology.Among the components absorbed into plasma by SZDP,24 prototype components and 9 metabolized components were identified.The network pharmacology analysis of the prototype components showed that there are 13 key compounds(including ginsenoside Rc,Rb1,Rb2,ferulic acid,etc.),90 proteins(including proto-oncogene tyrosine-protein kinase Src,nuclear receptor subfamily 3 group C member 1,caspase-3,etc.),and 10 pathways(including estrogen,IL-17 and VEGF signaling pathway,etc.)that play an essential role in the treatment of coronary heart disease with SZDP.In addition,the results of molecular docking revealed that ginsenosides Rc,Rb2 and Rb1 have strong binding activities to the caspase-3,as well as ginsenoside Rb2 to the nuclear receptor subfamily 3 group C member 1.Conclusion:This study showed that SZDP might act through multiple chemical constituents and targets against coronary heart disease.

Metabologenomics and network pharmacology to understand the molecular mechanism of cancer research

In this editorial I comment on the article“Network pharmacological and molecular docking study of the effect of Liu-Wei-Bu-Qi capsule on lung cancer”published in the recent issue of the World Journal of Clinical Cases 2023 November 6;11(31):7593-7609.Almost all living forms are able to manufacture particular chemicals-metabolites that enable them to differentiate themselves from one another and to overcome the unique obstacles they encounter in their natural habitats.Numerous methods for chemical warfare,communication,nutrition acquisition,and stress prevention are made possible by these specialized metabolites.Metabolomics is a popular technique for collecting direct mea-surements of metabolic activity from many biological systems.However,con-fusing metabolite identification is a typical issue,and biochemical interpretation is frequently constrained by imprecise and erroneous genome-based estimates of enzyme activity.Metabolite annotation and gene integration uses a biochemical reaction network to obtain a metabolite-gene association so called metabologe-nomics.This network uses an approach that emphasizes metabolite-gene consensus via biochemical processes.Combining metabolomics and genomics data is beneficial.Furthermore,computer networking proposes that using meta-bolomics data may improve annotations in sequenced species and provide testable hypotheses for specific biochemical processes.CONCLUSION The genome and metabolites of biological organisms are not fully characterized with current technologies.However,increasing high-throughput metabolomics and genomics data provide promising generation of paired data sets to understand the molecular mechanism of biochemical processes as well as determining targets for pharmaceutical drug design.Contemporary network infrastructures to integrate omics analysis can provide molecular mechanism of biochemical pathways.Furthermore,clinical data may be integrated to gene expression–metabolite expression by system genetics approach.Calculating pair-wise correlations and weighted correlation network analysis provide the basis of this integration[11-13].The occurrence of strong correlations between classified metabolites and co-expression transcripts implies either various roles of metabolites or linkages between metabolic pathways and the immune system.

Network pharmacology and computational analysis of berberine and kuwanon Z as possible natural antiviral compounds in COVID-19

Background:Global efforts to discover effective therapeutic agents for combating coronavirus disease 19(COVID-19)have intensified the exploration of natural compounds with potential antiviral properties.In this study,we utilized network pharmacology and computational analysis to investigate the antiviral effects of Berberine and Kuwanon Z against severe acute respiratory syndrome coronavirus 2,the viruses responsible for COVID-19.Method:Utilizing comprehensive network pharmacology approaches,we elucidated the complex interactions between these compounds and the host biological system,highlighting their multitarget mechanisms.Network pharmacology identifies COVID-19 targets and compounds through integrated protein‒protein interaction and KEGG pathway analyses.Molecular docking simulation studies were performed to assess the binding affinities and structural interactions of Berberine and Kuwanon Z with key viral proteins,shedding light on their potential inhibitory effects on viral replication and entry.Results:Network-based analyses revealed the modulation of crucial pathways involved in the host antiviral response.Compound-target network analysis revealed complex interactions(122 nodes,121 edges),with significant interactions and an average node degree of 1.37.KEGG analysis revealed pathways such as the COVID-19 pathway,chemokines and Jak-sat in COVID-19.Docking studies revealed that Kuwanon Z had binding energies of-10.5 kcal/mol for JAK2 and-8.1 kcal/mol for the main protease.Conclusion:The findings of this study contribute to the understanding of the pharmacological actions of Berberine and Kuwanon Z in the context of COVID-19,providing a basis for further experimental validation.These natural compounds exhibit promise as potential antiviral agents,offering a foundation for the development of novel therapeutic strategies in the ongoing battle against the global pandemic.

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.

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.

Material basis and pharmacodynamic mechanism of YangshenDingzhi granules in the intervention of viral pneumonia:Based on serum pharmacochemistry and network pharmacology

Background:YangshenDingzhi granules(YSDZ)are clinically effective in preventing and treating COVID-19.The present study elucidates the underlying mechanism of YSDZ intervention in viral pneumonia by employing serum pharmacochemistry and network pharmacology.Methods:The chemical constituents of YSDZ in the blood were examined using ultraperformance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS).Potential protein targets were obtained from the SwissTargetPrediction database,and the target genes associated with viral pneumonia were identified using GeneCards,DisGeNET,and Online Mendelian Inheritance in Man(OMIM)databases.The intersection of blood component-related targets and disease-related targets was determined using Venny 2.1.Protein-protein interaction networks were constructed using the STRING database.The Metascape database was employed to perform enrichment analyses of Gene Ontology(GO)functions and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathways for the targets,while the Cytoscape 3.9.1 software was utilized to construct drug-component-disease-target-pathway networks.Further,in vitro and in vivo experiments were performed to establish the therapeutic effectiveness of YSDZ against viral pneumonia.Results:Fifteen compounds and 124 targets linked to viral pneumonia were detected in serum.Among these,MAPK1,MAPK3,AKT1,EGFR,and TNF play significant roles.In vitro tests revealed that the medicated serum suppressed the replication of H1N1,RSV,and SARS-CoV-2 replicon.Further,in vivo testing analysis shows that YSDZ decreases the viral load in the lungs of mice infected with RSV and H1N1.Conclusion:The chemical constituents of YSDZ in the blood may elicit therapeutic effects against viral pneumonia by targeting multiple proteins and pathways.

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.

Analyzing the potential mechanism of Buyang Huanwu decoction for the treatment of salt-sensitive hypertension based on network pharmacology and in vivo experiments

Background:Buyang Huanwu decoction(BHD)is a traditional Chinese medicine herbal formula used for treating hypertension,particularly in the later stages of hypertension when it is associated with intracerebral hemorrhage.This study aims to investigate the treatment mechanism of BHD to provide a basis for its clinical application in hypertension treatment.Methods:Network pharmacology analysis and cell culture experiments were performed to explore the potential proteins and mechanisms of action of BHD against hypertension.Bioactive compounds related to BHD were screened,and relevant targets associated with hypertension and BHD were retrieved.Molecular docking technology was used to identify the effective signaling pathway based on the Kyoto Encyclopedia of Genes and Genomes and protein-protein interaction network cores.Lastly,the effects and mechanisms of BHD on salt-sensitive hypertensive endothelial cells were investigated.Results:Ninety-three potential therapeutic targets for BHD and salt-sensitive hypertension were found to be closely associated with the PI3K/Akt/eNOS signaling pathway and oxidative stress.Cell experiments further indicated the pivotal role of endothelial cells in hypertension,and validation analysis showed that BHD significantly preserved cell morphology,suppressed oxidative stress reactions,activated the PI3K/Akt/eNOS signaling pathways,preserved normal endothelial cell function,and reduced cell apoptosis.Conclusion:BHD effectively activates the PI3K/Akt/VEGF signaling pathway,attenuates oxidative stress-induced injury in endothelial cells exposed to high salt levels,and mitigates apoptosis,supporting the use of traditional Chinese medicine BHD in the treatment of salt-sensitive hypertension.

Network pharmacology and experimental validation to reveal the pharmacological mechanisms of Qizhu prescription for treating breast cancer

Objective:To investigate the mechanism underlying the effects exerted by the Qizhu prescription(QZP)in breast cancer(BC),and the respective targets.Methods: Expression data from the ArrayExpress and The Cancer Genome Atlas(TCGA)were used to identify differentially expressed genes(DEGs)in BC.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the DEGs to identify genes involved in protein–protein interactions.Molecular docking was used to explore the dynamic relationship between active molecules and targets.Cell function experiments and animal studies were conducted to evaluate the effects of hub genes and active QZP compounds on BC cell behavior.Results: Among the 25 evaluated BC-related targets of QZP,matrix metalloproteinase-1(MMP1)and epidermal growth factor receptor(EGFR)exhibited the highest degrees of dysregulation.GO and KEGG enrichment analyses revealed that the anti-BC targets of QZP primarily affected drug responses and pathways in cancer cells.Molecular docking analysis suggested potential interactions between EGFR and quercetin/luteolin,as well as between MMP1 and luteolin/kaempferol/quercetin.Quercetin significantly reduced BC cell proliferation,migration,invasion,and tumor development in vivo.Treatment of BC cells with quercetin decreased the expression or activation of several associated proteins.Conclusion: The findings of our study provide new insights into the therapeutic potential of traditional Chinese medicine against BC,with particular reference to QZP.

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.