Traditional Chinese Medicine Systems Research Articles

Tripterygium Glycosides in the Treatment of Asthma: Integrating Network Pharmacology, Molecular Docking and In Vitro Preliminary Pharmacological Evaluation

Objectives The mechanism of tripterygium glycosides (TG) in the treatment of asthma was explored by utilizing network pharmacology, molecular docking, and in vitro preliminary pharmacological tests. Methods An analysis of the bioactive ingredients of TG was conducted using the Traditional Chinese Medicine Systems Pharmacology Database database or predicted by FAFdrugs4, with relevant targets gathered from HERB, Swiss Target Prediction, STITCH, and SEA databases, and the targets for asthma were collected in Drugbank, DisGeNET, and GeneCards databases. Compound-target-pathway interactions and the function of putative targets were annotated by Cytoscape 3.6.0 and Database Visualization and Integrated Discovery, respectively. The affinity of the key ingredient and hub targets was assessed by molecular docking using AutoDock Vina software. Real-time quantitative polymerase chain reaction, cell-secreted cytokine assay, and ELISA were used to explore the effect of TG and its key ingredient triptolide (TP) for asthma. Results There were 12 bioactive ingredients in TG with 335 corresponding targets, 2672 asthma-associated targets, and 204 TG anti-asthma targets. TP and Tripterine were identified as the two key ingredients. RELA and TP53 exhibited the best topological index in protein-protein interaction network analysis and were regarded as hub targets. TG might play a role in biological processes such as lipopolysaccharide-mediated signaling pathway, regulation of nitric oxide biosynthetic process and mainly related to toll-like receptor, TNF and apoptosis signaling pathways. Molecular docking revealed that TP effectively bound to hub targets. In vitro experiments demonstrated that TG and TP reversed the RNA expression of airway remodeling marker CDH1 and FN. Moreover, TP reduced the secretion of vascular endothelial growth factor, implicating its role in airway remodeling. Conclusion TG might act on target genes RELA and TP53, utilizing the active ingredient TP, to regulate signaling pathways such as toll-like receptor, TNF, and apoptosis, thereby playing a role in the improving airway remodeling in asthma.

Integrated network pharmacology and experimental verification to explore the potential mechanism of San Ying decoction for treating triple-negative breast cancer.

Traditional Chinese medicine (TCM) has been used to treat triple-negative breast cancer (TNBC), a breast cancer subtype with poor prognosis. Clinical studies have verified that the Sanyingfang formula (SYF), a TCM prescription, has obvious effects on inhibiting breast cancer recurrence and metastasis, prolonging patient survival, and reducing clinical symptoms. However, its active ingredients and molecular mechanisms are still unclear. In this study, the active ingredients of each herbal medicine composing SYF and their target proteins are obtained from the Traditional Chinese Medicine Systems Pharmacology database. Breast cancer-related genes are obtained from the GeneCards database. Major targets and pathways related to SYF treatment in breast cancer are identified by analyzing the above data. By conducting molecular docking analysis, we find that the active ingredients quercetin and luteolin bind well to the key targets KDR1, PPARG, SOD1, and VCAM1. In vitro experiments verify that SYF can reduce the proliferation, migration, and invasion ability of TNBC cells. Using a TNBC xenograft mouse model, we show that SYF could delay tumor growth and effectively inhibit the occurrence of breast cancer lung metastasis in vivo. PPARG, SOD1, KDR1, and VCAM1 are all regulated by SYF and may play important roles in SYF-mediated inhibition of TNBC recurrence and metastasis.

Research on the Mechanism of Si Xian Decoction in Treating Acute Leukemia Based on Network Pharmacology and Molecular Docking Technology

Abstract Objective Our objective was to investigate the mechanism of action of the Si Xian Decoction (SXD) in treating acute leukemia (AL) using network pharmacology and molecular docking techniques. Methods The chemical components of the four medicinal herbs of Shengdi (Rehmanniae Radix), Baimaogen (Imperatae Rhizoma), Xiaoji (Cirsii Herba), and Pugongying (Taraxaci Herba) in the SXD were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine (BATMAN-TCM), and Encyclopedia of Traditional Chinese Medicine (ETCM). A natural active chemical component dataset for the SXD was established. Human Gene Database (Gencards), Database of Gene-Disease Associations (DisGeNET), Database for Drug and Drug Target Information (DrugBank), and Human Disease Database (MalaCards) were searched to obtain AL-related targets and to establish a disease target database. After obtaining the intersection targets of drugs and diseases, a Venn diagram of the common targets was drawn online. A drug-disease protein interaction network was constructed using the String 11.5 platform, and a “drug-disease-target-signal pathway” network was built using Cytoscape 3.8.2 software to obtain relevant target network topology parameters. Results By searching the TCMSP, BATMAN-TCM, and ETCM databases, 30 active components of the SXD and 677 related targets were obtained. From Gencards, DrugBank, MalaCards, and DisGeNET databases, 12,110 potential AL disease targets were obtained. Using the ClusterProfiler package of the R4.2.2 platform, 1,011 entries of gene ontology information were enriched, including 467 biological process entries, 236 molecular function entries, and 308 cellular component entries. Additionally, 220 enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways were obtained, mainly involving chemical carcinogen receptor activation, lipid and atherosclerosis, fluid shear stress and atherosclerosis, prostate cancer, and the role of the advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway in diabetic complications. Network topology analysis revealed that the main active components of SXD treating AL include γ-aminobutyric acid, adenosine, quercetin, scopolamine, and taraxasterol. Conclusion The treatment of AL with the SXD is a process of multicomponent, multitarget, and multisignal pathway coordination. Network pharmacology provides a solid research basis for elucidating the mechanism of action of SXD in the treatment of AL.

Network Pharmacology and Experimental Verification Reveal the Regulatory Mechanism of Chuanbeimu in Treating Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder in pulmonology. Chuanbeimu (CBM) is a traditional Chinese medicinal herb for treating COPD and has been widely utilized in clinical practice. However, the mechanism of CBM in the treatment of COPD remains incompletely understood. This study aims to investigate the underlying therapeutic mechanism of CBM for COPD using network pharmacology and experimental approaches. Active ingredients and their targets were obtained from the Traditional Chinese Medicine Systems Pharmacology database. COPD-associated targets were retrieved from the GeneCards database. The common targets for CBM and COPD were identified through Venn diagram analysis. Protein-protein interaction (PPI) networks and disease-herb-ingredient-target networks were constructed. Subsequently, the results of the network pharmacology were validated by molecular docking and in vitro experiments. Seven active ingredients and 32 potential targets for CBM were identified as closely associated with COPD. The results of the disease-herb-ingredient-target network and PPI network showed that peimisine emerged as the core ingredient, and SRC, ADRB2, MMP2, and NOS3 were the potential targets for CBM in treating COPD. Molecular docking analysis confirmed that peimisine exhibited high binding affinity with SRC, ADRB2, MMP2, and NOS3. In vitro experiments demonstrated that peimisine significantly upregulated the expression of ADRB2 and NOS3 and downregulated the expression of SRC and MMP2. These findings indicate that CBM may modulate the expression of SRC, ADRB2, MMP2, and NOS3, thereby exerting a protective effect against COPD.

Exploring the Mechanisms of the Huangqin Qingfei Decoction in Pneumonia Treatment for Lipopolysaccharide-Induced Mouse Model: A Network Pharmacology Analysis and Experimental Validation

Objective: In this study, a network pharmacological approach, and in vivo validation experiments were used to screen the active components of the Huangqin Qingfei decoction (HQFD) for their therapeutic efficacy in pneumonia. Methods: The active ingredients and targets of the HQFD were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, while pneumonia-related targets were obtained from GeneCards, Online Mendelian Inheritance in Man, and the Therapeutic Target Database. A protein–protein interaction network was constructed to identify core targets, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses using Metascape. A lipopolysaccharide-induced pneumonia mouse model was established, and verification of the main targets predicted by network pharmacology and therapeutic efficacy assessment was conducted using pathological staining, Western blot, and polymerase chain reaction. Results: We identified 51 active components in the HQFD that primarily affected pneumonia-related targets AKT1, PTGS2, MAPK14, and MMP9. The outcomes of the pathway enrichment analyses conducted by the KEGG and the GO demonstrated that the HQFD regulates genes associated with pathways in cancer, the lipid and atherosclerosis, as well as the AGE-RAGE signaling pathway in diabetic complications. Experiments on animals demonstrated that the AKT1, PTGS2, MAPK14, and MMP9 mRNA expression and p-AKT, p-P38, PTGS2, and MMP9 protein expression in lung tissues were significantly upregulated in the model group when compared to the control group. AKT1, PTGS2, MAPK14, MMP9 mRNA expression, and p-AKT, p-P38, PTGS2, and MMP9 protein expression were all lower in the HQFD groups in contrast to the model group. Conclusions: The effects of HQFD on pneumonia can be attributed to its active ingredients, including beta-sitosterol, wogonin, and quercetin. The mechanism involves multiple targets and pathways, including the PI3K-AKT signaling pathway, MAPK signaling pathway, and NF-kappa B signaling pathway, and modulation of AKT, PTGS2, MAPK14, and MMP9 expression. The HQFD reduces inflammatory damage and pneumonia symptoms via these mechanisms.

The Mechanism of Plantaginis Semen in the Treatment of Diabetic Nephropathy based on Network Pharmacology and Molecular Docking Technology.

Diabetic nephropathy (DN) is one of the common complications of diabetes. Plantaginis Semen (PS) has a variety of therapeutic effects, however its mechanism on DN is unclear. This paper aims to find the ingredients, the key targets, and the action pathways of PS on DN from the perspective of network pharmacology. The databases of network pharmacology, such as Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Pharmmapper, OMIM, DrugBank, Gene- Cards, TTD, Disgenet, STRING, and Cytoscape software, were used to find the main ingredients and targets. Gene Ontology (GO) function and Kyoto Encyclopedia of Genome and Genomes (KEGG) pathway enrichment analysis were used to reveal the potential pathways of the PS on DN. The GEO database was used to find the targets of DN based on valid experimental research. The molecular docking technology was used to evaluate the combination between ingredients of PS and the targets. A total of 9 active ingredients and 216 potential therapeutic targets were obtained for PS on DN. Hub targets were discovered by the Cytoscape software analysis. CASP3 was screened by Venn diagram by making intersection between GSE30529 and hub genes. Moreover, CASP3 was combined with one of the nine active ingredients, quercetin, by molecular docking analysis. The KEGG pathways were mainly involved in diabetic nephropathy, and were simultaneously associated with CASP3 as followed: AGE-RAGE signaling pathway in diabetic complications, apoptosis, lipid and atherosclerosis, MAPK signaling pathway, TNF signaling pathway, IL-17 signaling pathway, and p53 signaling pathway. PS can have the treatment on DN through CASP3. Quercetin, as one of the nine active ingredients, can be bounded to CASP3 to inhibit apoptosis in DN. PS can also take action on DN probably through many pathways. The role of PS on DN through other pathways still needs to be further elaborated.

The potential mechanism of ursolic acid in the treatment of bladder cancer based on network pharmacology and molecular docking.

This study explored the potential molecular mechanisms of ursolic acid (UA) in bladder cancer treatment using network pharmacology and molecular docking. The Traditional Chinese Medicine Systems Pharmacology and UniProt databases were used to screen potential targets of UA. Relevant bladder cancer target genes were extracted using the GeneCards database. All data were pooled and intercrossed to obtain common target genes of UA and bladder cancer. Gene Ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed. Molecular docking was conducted to verify the possible binding conformation between UA and bladder cancer cells. Then, in vitro experiments were performed to further validate the predicted results. UA exerts anti-tumor effects on bladder cancer through multiple targets and pathways. Molecular docking indicated that UA undergoes stable binding with the proteins encoded by the top six core genes (STAT3, VEGFA, CASP3, TP53, IL1B, and CCND1). The in vitro experiments verified that UA can induce bladder cancer cell apoptosis by regulating the PI3K/Akt signaling pathway. Our study illustrated the potential mechanism of UA in bladder cancer based on network pharmacology and molecular docking. The results will provide scientific references for follow-up studies and clinical treatment.

Mechanism of Fushen Granules treat peritoneal dialysis-related peritonitis by regulating TLR4/NF-κB pathway:based on network pharmacology and animal experiments

Network pharmacology was employed to probe into the mechanism of Fushen Granules in treating peritoneal dialysis-rela-ted peritonitis(PDRP) in rats. The main active components of Fushen Granules were searched against the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and their targets were predicted. PDRP-related targets were retrieved from DisGeNET and other databases. The common targets shared by the drug and the disease were identified by the online tool, and protein-protein interaction(PPI) network of the common targets. The obtained 276 common targets were imported into DAVID for GO function enrichment and KEGG pathway enrichment. The main signaling pathway of Fushen Granules in the treatment of PDRP was predicted as Toll-like receptor 4(TLR4)/nuclear factor(NF)-κB. The rat model of uremia was induced by 5/6 nephrectomy. From two weeks after operation, the rat model of peritoneal dialysis(PD) was established by intraperitoneal injection of 20 mL dialysate with 1.25% glucose every day. The sham operation group and model group received 2 mL normal saline by gavage every day. The rats in Fushen Gra-nules groups were administrated with 2 mL solutions of low-(0.54 g·kg~(-1)), medium-(1.08 g·kg~(-1)) and high-dose(2.16 g·kg~(-1)) Fushen Granules every day. The bifico group received 2 mL(113.4 mg·kg~(-1)) of bifico solution every day. At the end of the 8th week, the levels of serum creatinine(Scr) and blood urea nitrogen(BUN) in each group were measured. The serum levels of hypersensitive C reactive protein(hs-CRP), tumor necrosis factor(TNF)-α, and interleukin(IL)-6 were measured, and the pathological changes in the colon tissue were observed by hematoxylin-eosin(HE) staining. The serum levels of lipopolysaccharide(LPS) and lipopolysaccharide-binding protein(LBP) of rats were measured, and the expression levels of LBP, TLR4, NF-κB p65, inhibitor of κB kinase α(IκBα), TNF-α, and IL-1β in the colon tissue were determined. Compared with sham operation group, the model group had abnormal structure of all layers of colon tissue, sparse and shorter intestinal villi, visible edema in mucosal layer, wider gap, obvious local inflammatory cell infiltration, significantly decreased body weight(P<0.01), and significantly increased kidney function index(Scr, BUN) content(P<0.01). Serum levels of inflammatory cytokines(hs-CRP, TNF-α, IL-6), LPS and LBP were significantly increased(P<0.01), protein expressions of LBP, TLR4, NF-κB p65, TNF-α and IL-1β were significantly increased(P<0.01), and protein expressions of IκBα were significantly decreased(P<0.01). Compared with model group, intestinal villi damage in colonic tissue of rats in low-, medium-and high-dose Fushen Granules groups and bifico group were alleviated to different degrees, edema in submucosa was alleviated, space was narrowed, and inflammatory cell infiltration in lamina propria was reduced. The contents of renal function index(Scr, BUN) and serum inflammatory factors(hs-CRP, TNF-α, IL-6) were significantly decreased(P<0.05 or P<0.01) in medium-and high-dose Fushen Granules groups and bifico group(P<0.05 or P<0.01). Serum LPS and LBP contents in Fushen Granules group and bifico group were significantly decreased(P<0.01), protein expressions of LBP, TLR4, NF-κB p65, TNF-α and IL-1β in Fushen Granules group were significantly decreased(P<0.05 or P<0.01), and protein expressions of IκBα were significantly increased(P<0.01). The expression of LBP protein in bifico group was significantly decreased(P<0.01). The results suggest that Fushen Granules can protect the residual renal function of PD rats, reduce the inflammatory response, and protect the colon tissue. Based on network pharmacology, TLR4/NF-κB pathway may be the main signaling pathway of Fushen granule in the treatment of PDRP. The results showed that Fushen Granules could improve intestinal inflammation and protect intestinal barrier to prevent PDRP by regulating the expression of key factors in TLR4/NF-κB pathway in colon of PD rats.

Biomarkers and coptis chinensis activity for rituximab-resistant diffuse large B-cell lymphoma: Combination of bioinformatics analysis, network pharmacology and molecular docking.

Rituximab resistance is one of the great challenges in the treatment of diffuse large B-cell lymphoma (DLBCL), but relevant biomarkers and signalling pathways remain to be identified. Coptis chinensis and its active ingredients have antitumour effects; thus, the potential bioactive compounds and mechanisms through which Coptis chinensis acts against rituximab-resistant DLBCL are worth exploring. To elucidate the core genes involved in rituximab-resistant DLBCL and the potential therapeutic targets of candidate monomers of Coptis chinensis. Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP), the Similarity Ensemble Approach and Swiss Target Prediction, the main ingredients and pharmacological targets of Coptis chinensis were identified through database searches. Through the overlap between the pharmacological targets of Coptis chinensis and the core targets of rituximab-resistant DLBCL, we identified the targets of Coptis chinensis against rituximab-resistant DLBCL and constructed an active compound-target interaction network. The targets and their corresponding active ingredients of Coptis chinensis against rituximab-resistant DLBCL were molecularly docked. Berberine, quercetin, epiberberine and palmatine, the active components of Coptis chinensis, have great potential for improving rituximab-resistant DLBCL via PIK3CG. This study revealed biomarkers and Coptis chinensis-associated molecular functions for rituximab-resistant DLBCL.

Integrated network analysis and experimental verification of the mechanisms employed by Compound Jixuecao Decoction to improve endoplasmic reticulum stress and apoptosis in chronic renal failure

Ethnopharmacological relevanceCompound Jixuecao Decoction (CJD) is a traditional Chinese herbal medicine prescribed in China to treat chronic renal failure (CRF). Previous studies have shown that CJD affects cell apoptosis and proliferation. However, the mechanism of its renal protective action has not been characterized. Aim of the studyTo explore the mechanism(s) underlying the effect of CJD on endoplasmic reticulum stress (ERS) and apoptosis in the treatment of CRF using network pharmacology, molecular docking, molecular dynamics simulations, and in vivo studies. Materials and methodsThe compounds comprising CJD were extracted from the Traditional Chinese Medicine Systems Pharmacology Database. A Swiss target prediction database and similarity integration approach were employed to identify potential targets of these components. The GeneCards and DisGeNET databases were used to identify targets associated with CRF, apoptosis, and ERS. The STRING database was employed to analyze the protein–protein interactions (PPIs) associated with drug–disease crossover. A chemical composition-shared target network was established, and critical pathways were identified through gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. The Protein Data Bank database was used to search key proteins, while molecular docking and dynamics simulations were performed between the top four CJD active ingredients and proteins involved in apoptosis and ERS in CRF. Subsequent in vivo studies using a 5/6 nephrectomy rat model of CRF were performed to verify the findings. ResultsThe 80 compounds identified in CJD yielded 875 target genes, of which 216 were potentially related to CRF. PPI network analysis revealed key targets via topology filtering. Enrichment analysis, molecular docking, and molecular dynamics simulation results suggested that CJD primarily targets mitofusin-2 (MFN2), B-cell lymphoma-2 (BCL2), BAX, protein kinase RNA-like ER kinase (PERK), and C/EBP homologous protein (CHOP) during CRF treatment. In vivo, CJD significantly increased the abundance of MFN2, BCL2, and significantly reduced the abundance of BAX, PERK, CHOP proteins in kidney tissues, indicating that CJD could improve apoptosis and ERS in CRF rats. ConclusionsThis study provides evidence that CJD effectively delays CFR through modulation of the MFN2 and PERK–eIF2α–ATF4–CHOP signaling pathways.

Functional compounds rapid screening strategy for health food function-formula-component integrated quality control by syndrome correlation-network analysis

For quality control improvement of medicine and food homology (MFH) health food, the concept of functional quality control and rapid screening strategy of functional compounds were proposed based on the dual identity characteristics. Taking Wuweisanqi Capsule as the research object, firstly, a modified method “syndrome correlation-network analysis” based on network pharmacology was used for analysis. Functions related targets were collected from common medical databases, while the clustering algorithm was used to extract the information of clinical records related to daily health care from traditional Chinese medicine (TCM) database to obtain the targets. The bioactive compounds and related targets were retrieved from the TCM Systems Pharmacology Database and Analysis Platform around the five materials included in formula. Protein-protein interaction (PPI) network and pathway enrichment analysis were performed on the intersection targets. According to the constructed formula material-compound-target-pathway network, the potential functional compounds were preliminarily identified. Secondly, key targets and compounds were analyzed by molecular docking to further screen functional compounds. Finally, combined with references, the screening and establishing determination methods of functional compounds containing total saponins, astragaloside IV, puerarin and schisandrin were finished. The rapid screening strategy adequately utilizes the advantage of TCM background for MFH health food and the effective extracting ability of massive data by the algorithm. It links three aspects of health food functions, formula materials and functional compounds, providing an efficient solution for the realization of function-formula-component integrated functional quality control, which has great application potential in health food industry.

SKP alleviates the ferroptosis in diabetic kidney disease through suppression of HIF-1α/HO-1 pathway based on network pharmacology analysis and experimental validation.

Diabetic kidney disease (DKD) represents a microvascular complication of diabetes mellitus. Shenkang Pills (SKP), a traditional Chinese medicine formula, has been widely used in the treatment of DKD and has obvious antioxidant effect. Ferroptosis, a novel mode of cell death due to iron overload, has been shown to be associated with DKD. Nevertheless, the precise effects and underlying mechanisms of SKP on ferroptosis in diabetic kidney disease remain unclear. The active components of SKP were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Protein-protein interaction (PPI) network and Herb-ingredient-targets gene network were constructed using Cytoscape. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted utilizing the Metascape system database. Additionally, an in vivo model of DKD induced by Streptozotocin (STZ) was established to further investigate and validate the possible mechanisms underlying the effectiveness of SKP. We retrieved 56 compounds and identified 223 targets of SKP through the TCMSP database. Key targets were ascertained using PPI network analysis. By constructing a Herb-Ingredient-Targets gene network, we isolated the primary active components in SKP that potentially counteract ferroptosis in diabetic kidney disease. KEGG pathway enrichment analysis suggested that SKP has the potential to alleviate ferroptosis through HIF signaling pathway, thereby mitigating renal injury in DKD. In animal experiments, fasting blood glucose, 24h urine protein, urea nitrogen and serum creatine were measured. The results showed that SKP could improve DKD. Results from animal experiments were also confirmed the efficacy of SKP in alleviating renal fibrosis, oxidative stress and ferroptosis in DKD mice. These effects were accompanied by the significant reductions in renal tissue expression of HIF-1α and HO-1 proteins. The mRNA and immunohistochemistry results were the same as above. SKP potentially mitigating renal injury in DKD by subduing ferroptosis through the intricacies of the HIF-1α/HO-1 signaling pathway.

Anti-papillary thyroid carcinoma effects of dioscorea bulbifera L. through ferroptosis and the PI3K/AKT pathway based on network pharmacology and experimental validation

Ethnopharmacological relevancePapillary thyroid carcinoma (PTC) is the predominant form of thyroid cancer with a rising global incidence. Despite favorable prognoses, a significant recurrence rate persists. Dioscorea bulbifera L. (DBL), a traditional Chinese medicine, has been historically used for thyroid-related disorders. However, its therapeutic effects and mechanisms of action on PTC remain unclear. Aim of the studyTo explore the potential therapeutic effects, principal active components, and molecular mechanisms of DBL in the treatment of PTC through network pharmacology and molecular docking, with experimental validation conducted to corroborate these findings. Materials and methodsThe Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) was utilized as a systematic tool for collecting and screening the phytochemical components of DBL, and for establishing associations between these components and molecular targets. Based on this, network data was visually processed using Cytoscape software (version 3.8.0). Concurrently, precise molecular docking studies of the principal active components of DBL and their corresponding targets were conducted using Autodock software. Additionally, PTC-related genes were selected through the GeneCards and GEO databases. We further employed the DAVID bioinformatics resources to conduct comprehensive Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on the intersecting genes between DBL and PTC. These analyses aid in predicting the potential therapeutic actions of DBL on PTC and its mechanisms of action. To validate these findings, corresponding in vitro experimental studies were also conducted. ResultsIn this investigation, 14 bioactive compounds of DBL and 195 corresponding molecular targets were identified, with 127 common targets shared between DBL and PTC. Molecular docking revealed strong binding affinities between major bioactive compounds and target proteins. GO enrichment analysis unveiled key processes involved in DBL's action. KEGG analysis highlighted DBL's modulation of the PI3K/AKT signaling pathway. Experimental outcomes demonstrated DBL's potential in inhibiting PTC cell proliferation and migration, suppressing PI3K/AKT pathway activation, and promoting ferroptosis. ConclusionIn conclusion, DBL offers a multifaceted therapeutic approach for PTC, targeting multiple molecular entities and influencing diverse biological pathways. Network pharmacology and molecular docking shed light on DBL's potential utility in PTC treatment, substantiated by experimental validation. This study contributes valuable insights into using DBL as a promising therapeutic agent for PTC management.

Integrating Network Pharmacology and Experimental Validation to Reveal the Mechanism of Vine Grape Tea Polyphenols on Hyperuricemia-Induced Renal Injury in Mice.

Hyperuricemia (HUA) is a metabolic disease and contributes to renal injury (RI). Vine grape tea polyphenols (VGTP) have been widely used to treat HUA and RI. However, the potential mechanism of VGTP activity remains unclear. To explore the underlying mechanism of VGTP treatment for HUA-induced RI based on network pharmacology that is confirmed by an in vivo study. All ingredients of VGTP were retrieved using a Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Comparative Toxicogenomics Database systems. The related targets of HUA and RI were obtained from GeneCards and National Center for Biotechnology Information (NCBI) databases. Some ingredients and targets were selected for molecular docking verification. One hour after administering potassium oxonate (300 mg/kg), VGTP (50, 100, and 200 mg/kg/d) was orally administered to HUA mice for 4 weeks. Histopathology and western blotting were performed in renal tissue. Our results showed that VGTP significantly reduced blood urea nitrogen, creatinine, uric acid, and significantly improved the RI and fibrosis of HUA mice. There were 54 active ingredients and 62 targets of HUA-induced RI. Further studies showed that VGTP decreased the expression of Bax, cleaved caspase 3, transforming growth factor-β (TGF-β1), CHOP, p-STAT3, and P53, and increased Bcl-2 expression in renal tissue. The related signaling pathways have apoptosis, TGF-β1, P53 and STAT, and endoplasmic reticulum stress (ERS). In this study, VGTP exerted antihyperuricemic and anti fibrosis effects by regulating the apoptosis and ERS signaling pathways. VGTP is expected to become a drug for combating HUA and RI.

The mechanism of Zhenzhu Pills treating intracerebral hemorrhage secondary injury based on network pharmacology and molecular docking.

Intracerebral hemorrhage (ICH) secondary injury is serious and affects patient's prognosis. The Zhenzhu Pills used to treat subacute ICH in Tibet has shown to have a certain curative effect. Network pharmacology and molecular docking technology are employed to explore the potential mechanism of Zhenzhu Pills. The components and potential targets of Zhenzhu Pills were screened from the Traditional Chinese Medicine Systems Pharmacology database. The Gene Expression Omnibus Series 24265 was used to screen differentially expressed genes between perihematomal tissue and normal brain. The herbs-components-targets network was established, with weighted eigenvalue to identify the core components and targets of Zhenzhu Pills treatment of ICH secondary injury. Targets' bioinformatics enrichment was proceeded by gene ontology and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis. Finally, molecular docking was used to identify the hydrogen bonding activity between the key components and action targets. Five herbal drugs were screened from Traditional Chinese Medicine Systems Pharmacology database, with a total of 48 components and 234 targets. The Gene Expression Omnibus Series 24265 dataset was evaluated and 920 differentially expressed genes were identified. A total of 29 intersection targets of Zhenzhu Pills were explored in the treatment of ICH secondary injury. Drugs-components-targets network analysis showed that the pivotal targets were prostaglandin G/H synthase 2, interleukin 6, heme oxygenase-1, vascular endothelial growth factor, and vascular cell adhesion molecule 1, and the core components were quercetin, luteolin, and kaempferol. Gene ontology and KEGG pathway enrichment analysis showed that biological processes such as cell chemotaxis, wound healing, leukocyte migration, and regulation of body fluid levels played an important role in the secondary injury of ICH. The results of KEGG pathway analysis were mainly related to advanced glycation end products-receptor for advanced glycation end products signal pathway and tumor necrosis factor signal pathway. Molecular docking of 3 flavonoids with 5 core targets with the results also showed active hydrogen bonding. This study provides insights into the potential mechanisms of Zhenzhu Pills in the treatment of secondary injuries resulting from ICH and highlights specific components, targets, and molecular pathways involved in this therapeutic effect. These possible therapeutic mechanisms include inhibiting inflammation, edema, oxidative stress, and so on.

Integrated study reveals mechanism of Tripterygium Wilfordii against cholangiocarcinoma based on bioinformatics approaches and molecular dynamics simulation

BackgroundTripterygium wilfordii Hook. f. (TW) shows anticancer activity, and no study has comprehensively investigated the effects of TW in treating cholangiocarcinoma (CHOL). This study was designed to identify the therapeutic role and the mechanism of TW against CHOL to obtain anti-CHOL candidate components and targets. MethodsIngredients of TW were collected from the Traditional Chinese Medicine System Pharmacology Database and literature. Limma package and weighted gene co-expression network analysis were used to identify the genes related to CHOL. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) was performed by R package Cluster-Profiler and Metascape, respectively. Protein-Protein Interaction (PPI) network was used to select core genes in the treatment of CHOL by TW, followed by GEPIA2, UALCAN database, and ROC curves to assess their diagnostic and prognostic capability. Molecular docking and molecular dynamics simulation were applied to explore the binding affinity and stability of the complex between the bioactive ingredients in TW and core targets. ResultsA total of 67 ingredients in TW were collected, and 495 genes were obtained as genes of CHOL. 55 common TW-CHOL targets were identified. 171 biological process terms and 100 KEGG pathways were enriched. 12 genes were regarded as core genes through PPI analysis, such as CYP3A4, CES1, GC, and PLG, whose good diagnostic and prognostic capability were identified. Ten ingredients were selected through the construction of Herb-Components-Targets-Disease network. Molecular docking and molecular dynamics simulation both confirmed the good binding affinity and stability of the ligand-protein complexes. ConclusionThis study identified the therapeutic role and predicted the mechanism of TW against CHOL, where TW may combat CHOL through the regulation of metabolic conditions of the body, bile acid secretion, xenobiotics metabolism, and the inflammatory response. Celastrol, triptonide, triptolide and wilforlide A emerged as promising anti-CHOL candidates. So, this study offered a reference for the treatment of CHOL and the development of anti-CHOL drugs.

Validating core therapeutic targets for osteoporosis treatment based on integrating network pharmacology and informatics

ObjectiveOur goal was to find metabolism-related lncRNAs that were associated with osteoporosis (OP) and construct a model for predicting OP progression using these lncRNAs. MethodsThe GEO database was employed to obtain gene expression profiles. The WGCNA technique and differential expression analysis were used to identify hypoxia-related lncRNAs. A Lasso regression model was applied to select 25 hypoxia-related genes, from which a classification model was created. Its robust classification performance was confirmed with an area under the ROC curve close to 1, as verified on the validation set. Concurrently, we constructed a ceRNA network based on these genes to unveil potential regulatory processes. Biologically active compounds of STZYD were identified using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP) database. BATMAN was used to identify its targets, and we obtained OP-related genes from Malacards and DisGeNET, followed by identifying intersection genes with metabolism-related genes. A pharmacological network was then constructed based on the intersecting genes. The pharmacological network was further integrated with the ceRNA network, resulting in the creation of a comprehensive network that encompasses herb-active components, pathways, lncRNAs, miRNAs, and targets. Expression levels of hypoxia-related lncRNAs in mononuclear cells isolated from peripheral blood of OP and normal patients were subsequently validated using quantitative real-time PCR (qRT-PCR). Protein levels of RUNX2 were determined through a western blot assay. ResultsCBFB, GLO1, NFKB2 and PIK3CA were identified as central therapeutic targets, and ADD3-AS1, DTX2P1-UPK3BP1-PMS2P11, TTTY1B, ZNNT1 and LINC00623 were identified as core lncRNAs. ConclusionsOur work uncovers a possible therapeutic mechanism for STZYD, providing a potential therapeutic target for OP. In addition, a prediction model of metabolism-related lncRNAs of OP progression was constructed to provide a reference for the diagnosis of OP patients.

Molecular Targets and Mechanisms of Poria cocos-Licorice Drug Pair for the Treatment of Henoch–Schönlein Purpura Nephritis Based on Network Pharmacology

Background: The herbal Poria cocos-Liquorice drug pair (PLDP) possesses the ability to be a diuretic, stimulating the spleen and benefiting the kidney, which plays an important role in the treatment of Henoch–Schönlein purpura nephritis (HSPN). However, the mechanism of action is unknown. Objectives: Through the method of network pharmacology, this research sought to determine the mechanism of PLDP against HSPN. Materials and Methods: The screening of active ingredients in PLDP was conducted by Traditional Chinese Medicine Systems Pharmacology (TCMSP) databases, while their targets were obtained from the TCMSP and Swiss Target Prediction (STP) databases. The genes of HSPN were searched by OMIM, DisGeNET, and GeneCards databases. Then, the common targets of active ingredients in PLDP and HSPN were mapped by Venn analysis. To get the main targets, the researchers utilized the STRING database to construct the protein–protein interaction (PPI) network of the common targets. Then, the function of gene ontology (GO) and the enrichment of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of the main targets were examined on the Metascape database to identify the molecular mechanism of PLDP against HSPN. The most relevant signaling pathways with HSPN screened from the top 20 pathways were defined as the key pathways. Finally, the “active ingredient-main target-key pathway” network was built in order to identify the core targets and key active ingredients of PLDP against HSPN. Results: There were 101 active ingredients and 360 targets for PLDP. One hundred and fifty-seven genes for HSPN and 35 common targets between PLDP and HSPN were identified. Through the “active ingredient-main target-key pathway” network, quercetin, kaempferol, polyporenic acid C, dehydrotumulosic acid, poricoic acid A, and naringenin were identified as key active ingredients; TNF, NOS3, RELA, AKT1, ICAM1, and IFNG were identified as core targets; and the key pathways include TNF signaling pathways, HIF-1 signaling pathways, and IL-17 signaling pathways. Conclusion: The research initially investigated the pathways, active ingredients, and targets involved in PLDP against HSPN. The mechanism appears to be linked to its immunomodulatory and anti-inflammatory properties, thus establishing a scientific foundation for further investigation.

A network pharmacology method explores the molecular mechanism of Coptis chinensis for the treatment of Alzheimer's disease.

To predict the molecular mechanisms of action of Coptis chinensis in the treatment of Alzheimer's disease using network pharmacology. The active ingredients and targets of Coptis chinensis were obtained from the Traditional Chinese Medicine System Pharmacology Database. Target information for Alzheimer's disease was screened using the GeneCard and OMIM databases. The Venn diagram tool was used to identify the intersecting targets of Coptis chinensis and Alzheimer's disease. The obtained target information was entered into the STRING database to construct a protein-protein interaction network. The R language was used to perform Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of significant targets. Auto Dock Vina software was used for molecular docking. Fourteen effective active ingredients and 158 key targets associated with Coptis chinensis were identified. There were 1113 targets related to Alzheimer's disease genes. A drug-component-disease-target network was constructed and 84 key targets were identified for the treatment of Alzheimer's disease by Coptis chinensis. The main signaling pathways were the PI3K-Akt, AGE-RAGE, MAPK, HIF-1, TNF, and relaxin signaling pathways. The molecular docking results showed that berberine has a high affinity for Alzheimer's Disease. Coptis chinensis could play a multi-target and multi-pathway role against Alzheimer's disease, which has guiding significance for clinical research.

Efficacy of Danlou tablet on myocardial ischemia/ reperfusion injury assessed by network pharmacology and experimental verification.

To investigate the potential pharmacological mechanism of Danlou tablet (, DLT) with a long-term clinical application in the treatment of myocardial ischemia/reperfusion (I/R) injury through network pharmacology, molecular docking and experimental verification. The main chemical ingredients in DLT were retrieved from the Traditional Chinese Medicine (TCM) System Pharmacology Database, the TCM information database, the bioinformatics analysis tool for molecular mechanism of TCM, and HERB database. Disease targets of I/R were accessed from the databases of Online Mendelian Inheritance in Man, GeneCards, Therapeutic Target Database, and DisGeNET database. The overlaying genes of DLT and I/R were obtained from the Venny online platform. The core targets and protein-protein interaction network were constructed and analyzed via the Search Tool for the Retrieval of Interacting Genes Proteins database and Cytoscape software. Furthermore, Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed by the Metascape platform. Based on the results, the component-target-pathway network was constructed and drafted via the Cytoscape software and the platform of Bioinformatics. Furthermore, we performed molecular docking to predict the binding information between chemical molecules and target proteins. Finally, oxygen-glucose deprivation/recovery (OGD/R)-induced H9c2 cardiomyocytes were used to validate the results of network pharmacology in vitro. A total of 189 active chemical components in DLT and 849 correlative targets of I/R were screened. Of note, 133 overlaying genes found from the Venny online platform were concentrated into 28 core genes. Furthermore, the GO and KEGG pathway enrichment analysis presented that DLT might participate in 42 types of GO molecular functions, 747 types of GO biological processes, 19 types of GO cellular components, and 140 kinds of pathways to treat I/R. In the component-target-pathway network, the indirect relationship between herbs and their possible effective pathways was clarified. Based on the molecular docking, we speculated that Baicalein-prostaglandin G/H synthase 2 (PTGS2) with -3.24 kcal/mol, Luteolin-heat shock protein 90 alpha family class A member 1 (HSP90AA1) with -3.22 kcal/mol, Baicalein-HSP90AA1 with -3.13 kcal/mol, and Quercetin-HSP90AA1 with -3.05 kcal/mol possessed the strongest binding force of less than -3 kcal/mol, sequentially. Experimental verification showed that Quercetin, Luteolin, and Baicalein could increase the relative cell viability of OGD/R-stimulated cardiomyocytes, probably by suppressing PTGS2, and activating HSP90AA1 and estrogen receptor 1 expression. We predicted the potential active compounds as the material basis of DLT that may provide a new approach to elucidate the novel pharmacological mechanism underlying the treatment of cardiac I/R damage.