Network pharmacology and experimental verification based research into the effect and mechanism of Aucklandiae Radix-Amomi Fructus against gastric cancer

Inhibiting AGS Cancer Cell Proliferation through the Combined Application of Aucklandiae Radix and Hyperthermia: Investigating the Roles of Heat Shock Proteins and Reactive Oxygen Species

Cancer is a major global health concern. To address this, the combination of traditional medicine and newly appreciated therapeutic modalities has been gaining considerable attention. This study explores the combined effects of Aucklandiae Radix (AR) and 43 °C hyperthermia (HT) on human gastric adenocarcinoma (AGS) cell proliferation and apoptosis. We investigated the synergistic effects of AR and HT on cell viability, apoptosis, cell cycle progression, and reactive oxygen species (ROS)-dependent mechanisms. Our findings suggest that the combined treatment led to a notable decrease in AGS cell viability and increased apoptosis. Furthermore, cell cycle arrest at the G2/M phase contributed to the inhibition of cancer cell proliferation. Notably, the roles of heat shock proteins (HSPs) were highlighted, particularly in the context of ROS regulation and the induction of apoptosis. Overexpression of HSPs was observed in cells subjected to HT, whereas their levels were markedly reduced following AR treatment. The suppression of HSPs and the subsequent increase in ROS levels appeared to contribute to the activation of apoptosis, suggesting a potential role for HSPs in the combined therapy's anti-cancer mechanisms. These findings provide valuable insights into the potential of integrating AR and HT in cancer and HSPs.

A Comprehensive Study to Investigate the Tumor-Suppressive Role of Radix Bupleuri on Gastric Cancer with Network Pharmacology and Molecular Docking

Background

Gastric cancer (GC) is a common fatal malignancy. The aim of this study was to explore and validate the tumor-suppressive role and mechanism of Radix Bupleuri in GC.

Methods

The active constituents of Radix Bupleuri were screened using TCMSP database. SwissTargetPrediction database was used to predict potential target genes of the compounds. GeneCards, TTD, DisGeNET, OMIM, and PharmGKB databases were used to search for GC-related targets. STRING database and Cytoscape 3.10 software were used for protein-protein interaction network construction and screening of core targets. DAVID database was used for GO and KEGG analyses. Core targets were validated using molecular docking. Cell proliferation and apoptosis were detected using CCK-8 and flow cytometry after GC cells were treated with isorhamnetin. The mRNA and protein expression levels of genes were detected using qRT PCR and Western blot. The metastasis potential of GC cells was evaluated in a nude mouse model.

Results

A total of 371 potential targets were retrieved by searching the intersection of Radix Bupleuri and GC targets. Petunidin, 3',4',5',3,5,6,7-Heptamethoxyflavone, quercetin, kaempferol, and isorhamnetin were identified as the main bioactive compounds in Radix Bupleuri. SRC, HSP90AA1, AKT1, and EGFR, were core targets through which Radix Bupleuri suppressed GC. The tumor-suppressive effect of Radix Bupleuri on GC was mediated by multiple pathways, including PI3K-AKT, cAMP, and TNF signaling. The key compounds of Radix Bupleuri had good binding affinity with the core target. Isorhamnetin, a key component of Radix Bupleuri, could inhibit proliferation and metastasis, and induces apoptosis of GC cells. In addition, isorhamnetin could also reduce the mRNA expression of core targets, and the activation of PI3K/AKT pathway.

Conclusion

This study identified potential targets and pathways of Radix Bupleuri against GC through network pharmacology and molecular docking, providing new insights into the pharmacological mechanisms of Radix Bupleuri in GC treatment.

A network pharmacology approach and experimental validation to investigate the anticancer mechanism of Qi-Qin-Hu-Chang formula against colitis-associated colorectal cancer through induction of apoptosis via JNK/p38 MAPK signaling pathway

ETHNOPHARMACOLOGICAL RELEVANCE

The Qi-Qin-Hu-Chang Formula (QQHCF) is a traditional Chinese medicine prescription that is clinically used at the Affiliated Hospital of Nanjing University of Chinese Medicine for the treatment of colitis-associated colorectal cancer (CAC).

AIM OF THE STUDY

To evaluate the potential therapeutic effects of QQHCF on a CAC mouse model and investigate its underlying mechanisms using network pharmacology and experimental validation.

MATERIALS AND METHODS

The active components and potential targets of QQHCF were obtained from Traditional Chinese Medicine Systems Pharmacology (TCMSP) and herb-ingredient-targets gene network were constructed by Cytoscape 3.9.2. Target genes of CAC were obtained from GeneCards, Online Mendelian Inheritance in Man, and DrugBank database. The drug disease target protein-protein interaction (PPI) network was constructed and the core targets were visualized and identified using Cytoscape. The Metascape database was used for GO and KEGG enrichment analysis. UHPLC-MS/MS was used to further identify the active compounds in QQHCF. Subsequently, the therapeutic effects and potential mechanism of QQHCF against CAC were investigated in AOM/DSS-induced CAC mouse in vivo, and HT-29 and HCT116 cells in vitro. Finally, interactions between JNK, p38, and active ingredients were assessed by molecular docking.

RESULTS

A total of 176 active compounds, 273 potential therapeutic targets, and 2460 CAC-related target genes were obtained. The number of common targets between QQHCF and CAC were 165. KEGG pathway analysis indicated that the MAPK signaling pathway was closely associated with CAC, which may be the potential mechanism of QQHCF against CAC. Network pharmacology and UHPLC-MS/MS analyses showed that the active compounds of QQHCF included quercetin, kaempferol, luteolin, wogonin, oxymatrine, lupanine, and baicalin. Animal experiments demonstrated that QQHCF reduced tumor load, number, and size in AOM/DSS-treated mice, and induced apoptosis in colon tissue. In vitro experiments further showed that QQHCF induced apoptosis and inhibited cell viability, migration, and invasion in HCT116 and HT-29 cells. Notably, QQHCF activated the JNK/p38 MAPK signaling pathway both in vivo and in vitro. Molecular docking analysis revealed an ability for the main components of QQHCF and JNK/p38 to bind.

CONCLUSION

The present study demonstrated that QQHCF could ameliorate AOM/DSS-induced CAC in mice by activating the JNK/p38 MAPK signaling pathway. These results have important implications for the development of effective treatment strategies for CAC.

Carbazole derivatives as promising competitive and allosteric inhibitors of human serotonin transporter: computational pharmacology

The human serotonin transporters (hSERTs) are neurotransmitter sodium symporters of the aminergic G protein-coupled receptors, regulating the synaptic serotonin and neuropharmacological processes related to neuropsychiatric disorders, notably, depression. Selective serotonin reuptake inhibitors (SSRIs) such as fluoxetine and (S)-citalopram are competitive inhibitors of hSERTs and are commonly the first-line medications for major depressive disorder (MDD). However, treatment-resistance and unpleasant aftereffects constitute their clinical drawbacks. Interestingly, vilazodone emerged with polypharmacological (competitive and allosteric) inhibitions on hSERTs, amenable to improved efficacy. However, its application usually warrants adjuvant/combination therapy, another subject of critical adverse events. Thus, the discovery of alternatives with polypharmacological potentials (one-drug-multiple-target) and improved safety remains essential. In this study, carbazole analogues from chemical libraries were explored using docking and molecular dynamics (MD) simulation. Selectively, two IBScreen ligands, STOCK3S-30866 and STOCK1N-37454 predictively bound to the active pockets and expanded boundaries (extracellular vestibules) of the hSERTs more potently than vilazodone and (S)-citalopram. For instance, the two ligands showed docking scores of -9.52 and -9.59 kcal/mol and MM-GBSA scores of -92.96 and -65.66 kcal/mol respectively compared to vilazodone's respective scores of -7.828 and -59.27 against the central active site of the hSERT (PDB 7LWD). Similarly, the two ligands also docked to the allosteric pocket (PDB 5I73) with scores of -8.15 and -8.40 kcal/mol and MM-GBSA of -96.14 and -68.46 kcal/mol whereas (S)-citalopram has -6.90 and -69.39 kcal/mol respectively. The ligands also conferred conformational stability on the receptors during 100 ns MD simulations and displayed interesting ADMET profiles, representing promising hSERT modulators for MDD upon experimental validation.Communicated by Ramaswamy H. Sarma.

Role of Network Pharmacology in Prediction of Mechanism of Neuroprotective Compounds

Network pharmacology is an emerging pioneering approach in the drug discovery process, which is used to predict the therapeutic mechanism of compounds using various bioinformatic tools and databases. Emerging studies have indicated the use of network pharmacological approaches in various research fields, particularly in the identification of possible mechanisms of herbal compounds/ayurvedic formulations in the management of various diseases. These techniques could also play an important role in the prediction of the possible mechanisms of neuroprotective compounds. The first part of the chapter includes an introduction on neuroprotective compounds based on literature. Further, network pharmacological approaches are briefly discussed. The use of network pharmacology in the prediction of the neuroprotective mechanism of compounds is discussed in detail with suitable examples. Finally, the chapter concludes with the current challenges and future prospectives.

Network pharmacology combined with metabolomics to explore the mechanism for Lonicerae Japonicae flos against respiratory syncytial virus

BACKGROUND

Respiratory Syncytial Virus (RSV) stands out as a primary contributor to lower respiratory tract infections and hospitalizations, particularly in infants. Lonicerae japonicae flos (LJF), a traditional Chinese medicine renowned for its efficacy against various viral infections, including RSV, has been widely employed. Despite its common use, the precise therapeutic mechanism of LJF against RSV remains elusive. This study aimed to investigate the underlying mechanism of LJF against RSV through network pharmacology and metabolomics.

METHODS

In this study, based on network pharmacology, potential targets related to LJF and RSV were obtained from PubChem and Swiss Target Prediction. The core targets and pathways were established and verified by enrichment analysis and molecular docking. The anti-RSV efficacy of LJF was determined by in vitro experiments. Additionally, metabolomics analysis was integrated, allowing for the identification of differential metabolites and their correlation with targets following LJF treatment in the context of RSV infection.

RESULTS

A total of 23 active ingredients and 780 targets were obtained, of which 102 targets were associated with LJF anti-RSV. The construction of the corresponding Protein-Protein Interaction (PPI) network unveiled potential core targets, including STAT3, TNF, and AKT1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that LJF's anti-RSV effects primarily involve key pathways such as the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and FoxO signaling pathway. Molecular docking showed that ZINC03978781, 4,5'-Retro-.beta.,.beta.-Carotene -3,3'-dione, 4',5'-didehydro and 7-epi-Vogeloside had better binding ability. The cellular assay showed that the therapeutic index of LJF against RSV was 4.79. Furthermore, 18 metabolites were screened as potential biomarkers of LJF against RSV, and these metabolites were mainly involved in the pathways of purine metabolism, linoleic acid metabolism, alpha-linolenic acid metabolism, and other related pathways.

CONCLUSIONS

The intergration of network pharmacology and metabolomics can clarify the active targets and related pathways of LJF against RSV, which could provide a valuable reference for further research and clinical application of LJF.

Network pharmacology analysis of Plumbago zeylanica to identify the therapeutic targets and molecular mechanisms involved in ameliorating hemorrhoids

Plumbago zeylanica is an important plant used in the Ayurvedic system of medicine for the treatment of hemorrhoids or piles. Despite its clinical uses, its molecular mechanism, for ameliorating hemorrhoids is not yet explored. Hence, the present study evaluated the plausible molecular mechanisms of P. zeylanica in the treatment of hemorrhoids using network pharmacology and other in silico analysis. Network pharmacology was carried out by protein, GO, and KEGG enrichment analysis. Further ADME/T, molecular docking and dynamics studies of the resultant bioactive compounds of P. zeylanica with the regulated proteins were evaluated. Results of the network pharmacology analysis revealed that the key pathways and plausible molecular mechanisms involved in the treatment effects of P. zeylanica on hemorrhoids are cell migration, proliferation, motility, and apoptosis which are synchronized by cancer, focal adhesion, and by signalling relaxin, Rap1, and calcium pathways which indicates the involvement of angiogenesis and vasodilation which are the characteristic features of hemorrhoids. Further, the molecular docking and dynamics studies revealed that the bio active ingredients of P. zeylanica strongly bind with the key target proteins in the ambiance of hemorrhoids. Hence, the study revealed the mechanism of P. zeylanica in ameliorating hemorrhoids.Communicated by Ramaswamy H. Sarma.

Unraveling the Therapeutic Mechanism of Saussurea involucrata against Rheumatoid Arthritis: A Network Pharmacology and Molecular Modeling-Based Investigation

Rheumatoid arthritis (RA) is a chronic autoimmune disease with a global prevalence of approximately 0.46%, causing significant impairments in patients' quality of life and an economic burden. Saussurea involucrata (SI) has long been used in traditional medicine to treat RA, but its underlying mechanism remains unclear. This study utilized network pharmacology and molecular docking to explore the potential pharmacological effects of bioactive compounds in SI on RA. A total of 27 active compounds were identified, along with 665 corresponding targets. Additionally, 593 disease-related targets were obtained from multiple databases, with 119 common targets shared with SI. The high-ranking targets mainly belong to the MAPK family and NF-κB pathway, including MAPK14, MAPK1, RELA, TNF, and MAPK8, all of which are associated with inflammation and joint destruction in RA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant pathways related to IL-17 signaling, Th17 cell differentiation, and osteoclast differentiation. Molecular docking and dynamic simulations demonstrated strong interactions between several flavonoids and RA-related targets. Xuelianlactone, Involucratin, and Flazin exhibit outstanding binding efficacy with targets such as MAPK1, MAPK8, and TNF. These findings provide valuable insights into the therapeutic potential of SI for RA and offer directions for further drug development.

The Abundant Phytocannabinoids in Rheumatoid Arthritis: Therapeutic Targets and Molecular Processes Identified Using Integrated Bioinformatics and Network Pharmacology

The endocannabinoid system consists of several phytocannabinoids, cannabinoid receptors, and enzymes that aid in numerous steps necessary to manifest any pharmacological activity. It is well known that the endocannabinoid system inhibits the pathogenesis of the inflammatory and autoimmune disease rheumatoid arthritis (RA). To the best of our knowledge, no research has been done that explains the network-pharmacology-based anti-rheumatic processes by focusing on the endocannabinoid system. Therefore, the purpose of this study is to further our understanding of the signaling pathways, associated proteins, and genes underlying RA based on the abundant natural endocannabinoids. The knowledge on how the phytocannabinoids in Cannabis sativa affect the endocannabinoid system was gathered from the literature. SwissTarget prediction and BindingDB databases were used to anticipate the targets for the phytocannabinoids. The genes related to RA were retrieved from the DisGeNET and GeneCards databases. Protein–protein interactions (high confidence > 0.7) were carried out with the aid of the string web server and displayed using Cytoscape. The Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway analysis was used to perform enrichment analyses on the endocannabinoid–RA common targets. ShinyGO 0.76 was used to predict the biological processes listed in the Gene Ontology (GO) classification system. The binding affinity between the ligand and the receptors was precisely understood using molecular docking, induced-fit docking, and a molecular dynamics simulation. The network pharmacology analyses predicted that processes like response to oxygen-containing compounds and peptodyl-amino acid modification are related to the potential mechanisms of treatment for RA. These biological actions are coordinated by cancer, neuroactive ligand–receptor interaction, lipids and atherosclerosis, the calcium signaling pathway, and the Rap1 signaling pathway. According to the results of molecular docking, in the context of RA, phytocannabinoids may bind to important target proteins such PIK3CA, AKT1, MAPK9, PRKCD, BRAF, IGF1R, and NOS3. This entire study predicted the phytocannabinoids’ systemic biological characteristics. Future experimental research is needed, however, to confirm the results so far.