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PubMed2026

Integrative computational analysis combining network pharmacology, regulatory network modeling, and molecular dynamics reveals the mechanisms of Quanshen compound in ITP.

UNLABELLED: Immune thrombocytopenia (ITP) is a hemorrhagic disorder caused by immune dysfunction. Quanshen Compound (QSC) is an in-house preparation developed by the Uyghur Hospital in Hotan Prefecture. This study primarily investigates and validates the potential pharmacological basis and mechanism of action of QSC in modulating immune thrombopoiesis. Based on the multi-database screening of the QSC and the related targets of ITP, the intersection was obtained to construct a protein-protein interaction (PPI) network and screen the core targets; the intersection targets were analyzed for gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis using R packages; a component-target-pathway network was constructed to screen the key active components and their mechanisms of action. At the same time, the TF-mRNA-miRNA regulatory network of the core targets was constructed, and chromosome localization and subcellular localization analysis were performed; further, the binding stability of key components and core targets was verified through molecular docking and molecular dynamics simulation. A total of 227 potential target sites were screened out, among which TNF, IL6, AKT1, TP53 and IL1B were the core targets. The enrichment results indicated that these intersecting target sites mainly participated in inflammatory responses, immune regulation and hemostasis-related biological processes, and were significantly enriched in the PI3K-Akt signaling pathway, Toll-like receptor signaling pathway, Th17 cell differentiation and PD-1/PD-L1 signaling pathway. The core target TF-mRNA-miRNA regulatory network contained 184 nodes and 200 edges, suggesting that the core targets were subject to multi-level regulation. Molecular docking results showed that the main active components had good binding activity with the core targets, and molecular dynamics simulation further verified the stability of the complex. QSC may improve ITP through a multi-component, multi-target, and multi-pathway synergistic mechanism involving key targets such as TNF, IL6, AKT1, TP53, and IL1B, as well as the PI3K-Akt signaling pathway. These findings provide new insights into the potential therapeutic mechanisms of QSC against ITP and warrant further experimental validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s40203-026-00718-0.

Immune thrombocytopenia↗

PubMed2026

In silico screening of anti-atherosclerotic compounds from Morus alba leaves by machine learning and network pharmacology.

OBJECTIVE: This study integrates machine learning with network pharmacology, molecular docking, and molecular dynamics simulations to screen bioactive compounds from Mulberry leaves and elucidate their potential mechanisms against atherosclerosis (AS). METHODS: A training dataset of anti-AS active compounds was compiled and encoded as Morgan fingerprints. Three machine learning classifiers, specifically Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XG-Boost), were constructed and evaluated using multiple performance metrics. Potential active components from Mulberry leaves and AS-related targets were retrieved, followed by protein-protein interaction network construction and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Molecular docking was then performed to evaluate binding affinities between core targets and candidate compounds, and the most stable complex was subjected to molecular dynamics simulations using GROMACS (2025). RESULTS: The RF model achieved superior performance (accuracy= 0.8354, F1 = 0.8408, AUC = 0.9119) with 100% external validation accuracy. Thirteen anti-AS candidates were prioritized from mulberry leaves, four of which have been previously documented. Network pharmacology revealed AKT1 and IL6 as core targets, enriched in pathways such as endocrine resistance. Molecular docking and dynamics simulations confirmed strong binding between oxysanguinarine and AKT1, with the complex exhibiting high stability. CONCLUSION: The RF model provides a reliable computational tool for prioritizing anti-AS compounds from Mulberry leaves. The integrated analysis reveals that Mulberry leaves exert anti-atherosclerotic effects through multi-target (e.g., AKT1, IL6) and multi-pathway (e.g., PI3K-Akt) mechanisms, offering a framework for further experimental validation.

Morus↗

PubMed2026

Network pharmacology insights into the mechanistic basis of Taohe Chengqi Decoction in the treatment of constipation.

Constipation is a common gastrointestinal disorder associated with impaired motility, inflammation, and altered neuro-intestinal regulation. Taohe Chengqi Decoction, a classical prescription from Shang Han Lun, has been widely applied in the treatment of constipation, yet its pharmacological mechanisms remain insufficiently understood. We integrated systems pharmacology and network analysis to elucidate the therapeutic mechanisms of Taohe Chengqi Decoction against constipation. Active compounds and their putative targets were retrieved from traditional Chinese medicine systems pharmacology and PubChem, while constipation-related genes were collected from GeneCards and OMIM. Shared targets were identified and subsequently analyzed using STRING to construct a protein-protein interaction network. Hub proteins were ranked by degree centrality. A drug-disease-target network was built to map the interactions between Taohe Chengqi Decoction and constipation. Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses were performed to uncover functional modules and signaling pathways. A total of 188 common targets were identified. Protein-protein interaction network analysis highlighted AKT1, interleukin-6 (IL6), IL1B, and JUN as hub proteins, suggesting central roles in regulating inflammation, apoptosis, and signal transduction. Additional nodes with high connectivity, such as caspase-3, PTGS2, signal transducer and activator of transcription 3, hypoxia-inducible factor-1α, estrogen receptor 1, and epidermal growth factor receptor, were implicated in apoptosis, oxidative stress, and transcriptional regulation. The drug-disease-target network revealed a dense and highly interconnected structure, reflecting the multicomponent, multi-target nature of Taohe Chengqi Decoction. Kyoto encyclopedia of genes and genomes enrichment indicated significant involvement of the advanced glycation end-product binding to their receptor signaling pathway, along with IL-17, TNF, and HIF-1 pathways, underscoring the contribution of inflammatory and oxidative stress-related processes. This study, based on computational pharmacology analysis, predicts that Taohe Chengqi Decoction may exert therapeutic effects on constipation through an integrated regulation involving multiple components, targets, and pathways. The potential mechanisms are likely associated with the modulation of inflammatory responses, apoptosis, and oxidative stress, with the advanced glycation end-product binding to their receptor signaling pathway possibly acting as a key mediator. These findings provide theoretical insights and future directions for elucidating the molecular mechanisms underlying the therapeutic effects of Taohe Chengqi Decoction against constipation.

Drugs, Chinese Herbal↗

PubMed2026

Validation of the Mechanism of Action of Jiedu Shengji Oil in the Treatment of Radiation Dermatitis based on Network Pharmacology and In vivo Experiments.

BACKGROUND: Radiation Dermatitis (RD) is a common complication of radiation therapy, with approximately 90% of patients experiencing moderate to severe radiation dermatitis injury after radiotherapy. Jiedu Shengji oil (JDSJY) is a commonly used herbal topical preparation in our hospital, with remarkable clinical efficacy in treating radiation dermatitis. However, the mechanism of JDSJY in treating RD is unclear. AIMS: The aim of the study is to explore JDSJY's mechanism of action in treating RD through methods, such as network pharmacology and in vivo experiments. METHODS: The active components and disease targets of JDSJY were screened and intersected via network pharmacology for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The pharmacodynamics of JDSJY was evaluated by establishing a rat model of RD. RESULTS: Network pharmacology showed that the pathway network of JDSJY action involved 64 targets and 6 pathways and might act by targeting key targets, such as C-reactive protein (CRP) and regulating the MAPK signalling pathway. In addition, in vivo experiments showed that JDSJY reduced skin inflammation and inhibited apoptosis, significantly ameliorated mitochondrial damage in keratinocytes, and reduced the levels of antioxidant-related indicators. CONCLUSION: Comprehensive network pharmacology and in vivo experiments revealed that JDSJY's therapeutic efficacy in RD is mediated by ameliorating oxidative stress and maintaining mitochondrial homeostasis in keratinocytes.

Animals↗

PubMed2026

[Study on mechanism of Wendan Decoction in intervening in nonalcoholic fatty liver disease based on proteomics and network pharmacology].

This study systematically explored the molecular mechanism of Wendan Decoction(WDD) in treating nonalcoholic fatty liver disease(NAFLD) by integrating network pharmacology, proteomics, and experimental validation. A mouse NAFLD model was established using a high-fat diet, and the mice were randomly divided into a blank control group, a model group, a positive drug group(simvastatin, 3.03 mg·kg~(-1)), and low-(3.035 g·kg~(-1)), medium-(6.07 g·kg~(-1)), and high-dose(12.14 g·kg~(-1)) WDD groups, with intervention lasting for 6 weeks. After the intervention, the serum levels of alanine aminotransferase(ALT), aspartate aminotransferase(AST), triglycerides(TG), total cholesterol(TC), low-density lipoprotein cholesterol(LDL-C), and high-density lipoprotein cholesterol(HDL-C) were measured using an automatic biochemical analyzer. The serum levels of interleukin-1β(IL-1β), interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α) were detected by ELISA. Liver histopathology was observed via hematoxylin-eosin(HE) staining and oil red O staining. Network pharmacology was used to predict potential targets and pathways, and proteomics was applied to identify differentially expressed proteins and related pathways. RT-qPCR and Western blot were performed to detect mRNA and protein expression of relevant genes. Animal experiments demonstrated that WDD dose-dependently ameliorated hepatic steatosis, inflammation, and lipid deposition, significantly reducing serum levels of ALT, AST, TG, TC, LDL-C, and pro-inflammatory cytokines(IL-1β, IL-6, and TNF-α), while significantly increasing serum HDL-C levels. Network pharmacology screening identified naringenin, baicalein, and other key active components, which were involved in pathways such as the peroxisome proliferator-activated receptor(PPAR), lipid, and atherosclerosis pathways. Proteomics further revealed differentially expressed pathways including the PPAR and advanced glycation end product-receptor(AGE-RAGE) signaling pathways. Integrated analysis highlighted the PPAR signaling pathway as the core mechanism. Molecular biology validation showed that WDD significantly regulated the mRNA expression of sterol regulatory element-binding protein-1c(SREBP-1c), fatty acid synthase(FASN), carnitine palmitoyl transferase 1A(CPT1A), acyl-CoA oxidase 1(ACOX1), and PPARα, as well as protein expression of PPARα, CPT1A, and PPARγ in mouse liver tissue. These results suggested that WDD might exert a multi-component, multi-target, and multi-pathway synergistic effect to improve lipid metabolism disorders and inflammatory responses with the PPAR signaling pathway as the central hub, thereby alleviating NAFLD progression.

Animals↗

PubMed2025

Network pharmacology approach to unveiling the mechanism of berberine in the amelioration of morphine tolerance.

OBJECTIVE: To investigate the mechanism underlying the effect of the Huanglian decoction (, HLD) on morphine tolerance (MT), using network pharmacology, and to verify these mechanisms in vitro and in vivo. METHODS: Available biological data on each drug in the HLD were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. The target proteins of MT were retrieved from the GeneCards, PharmGkb, Therapeutic Target Database, DrugBank, and Online Mendelian Inheritance in Man databases. Information regarding MT and the drug targets was compared to obtain overlapping elements. This information was imported into the Search Tool for the Retrieval of Interacting Genes/Proteins platform to obtain a protein-protein interaction network diagram. Then, a "component-target" network diagram was constructed using screened drug components and target information, viaCytoscape (Institute for Systems Biology, Seattle, WA, USA). The database for annotation, visualization, and integrated discovery was used for Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathways analyses. Pathway information predicted by network pharmacology was verified using animal studies and cell experiments. RESULTS: Network pharmacology analysis identified 22 active compounds of HLD and revealed that HLD partially ameliorated MT by modulating inflammatory, apoptosis, and nuclear factor kappa B (NF-κB) signaling pathways. Berberine (BBR), one of the main components of HLD, inhibited the development of MT in mice. BBR reduced cell viability while increasing B-cell lymphoma 2 (Bcl-2) protein expression and decreasing CD86, NF-κB, Bax, and Caspase-3 protein expression in brain vascular 2 (BV2) mcroglia cells treated with morphine. Additionally, BBR contributed to a reduction in pro-inflammatory cytokine release and apoptotic cell number. CONCLUSIONS: BBR, a key component of HLD, effectively suppressed microglial activation and neuro-inflammation by regulating the NF-κB and apoptosis signaling pathways, thereby delaying MT. This study offers a novel approach to enhance the clinical analgesic efficacy of morphine.

Berberine↗

PubMed2026

Exploring the treatment of liver cancer with Gehua Hugan Gao based on bioinformatics, network pharmacology, and molecular docking.

Gehua Hugan Gao (GHHGG) is a traditional Chinese medicine paste that is chiefly used to treat liver cancer. However, the potential impact of GHHGG on liver cancer remains unclear. We explored how GHHGG treats liver cancer using bioinformatics, network pharmacology, and molecular docking. Network pharmacology included GHHGG active ingredients, predicted targets, predicted targets for liver cancer, and differential gene collection. A protein-protein interaction network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins database, and crucial targets were ranked according to their degree values. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses of liver cancer targets were followed by survival, differential analysis, and molecular docking. Venn diagrams show 123 predicted GHHGG targets for the treatment of hepatocellular carcinoma (HCC). Enrichment analysis showed that GHHGG treats HCC through multiple targets and pathways. We also found that estrogen receptor 1, cytochrome P450 3A4, cyclin-dependent kinase 4, type IIA topoisomerase, aurora kinase A, and cyclin E1 targets were closely associated with HCC development through survival and differential analyses. Molecular docking confirmed GHHGG's strong affinity for liver cancer targets. This study helps us understand GHHGG ingredients and targets for liver cancer treatment. To a certain extent, the molecular mechanism of GHHGG in the treatment of liver cancer has been elucidated, thus providing a theoretical basis.

Molecular Docking Simulation↗

PubMed2026

Network pharmacological and experimental validation of the mechanism of Chaihu Guizhi Ganjiang decoction regulating T helper cell 17/regulatory T cell balance to improve autoimmune hepatitis.

OBJECTIVE: To elucidate the therapeutic efficacy and mechanism of action of Chaihu Guizhi Ganjiang decoction (, CGGD) in autoimmune hepatitis. METHODS: CGGD components and potential target genes were extracted from previously published databases. The autoimmune hepatitis (AIH)-related regulatory genes were obtained from the DisGeNET database. Intersections were taken, and enrichment analyses were performed on the extracted data. Concanavalin A (ConA)-induced AIH model mice were treated with CGGD via gavage. The results of network pharmacological analysis were experimentally validated. RESULTS: Network pharmacology revealed 228 genes at the intersection of AIH and CGGD. Kyoto Encyclopedia of Genes and Genomes analysis revealed that CGGD primarily regulates the phosphoinositide 3-kinase (PI3K)/ protein kinase B (AKT) signaling pathway and cellular metabolism in AIH. Gene Ontology enrichment analysis revealed that CGGD modulates inflammation through transcription factor-mediated signaling pathways. As predicted, CGGD attenuated ConA-induced AIH in a dose-dependent manner by activating the PI3K/AKT signaling pathway. Histopathological assessment confirmed the protective effects of CGGD against ConA-induced AIH. Further investigation revealed that CGGD regulated the T helper cell 17 (Th17)/regulatory T cell (Treg) balance by modulating the PI3K/Akt/ nuclear factor kappa-B (NF-κB) pathway. CONCLUSIONS: This study demonstrated the therapeutic effect of CGGD on AIH through a combination of network pharmacological prediction and experimental validation. Its mechanism of action involves PI3K/Akt/ NF-κB-mediated regulation of Th17/Treg cells.

Animals↗

PubMed2026

Acupoint Selection Patterns and Potential Mechanisms of Acupuncture in Knee Osteoarthritis: A Combined Data Mining and Network Pharmacology Study.

OBJECTIVE: To identify the core acupoint prescription and Kellgren-Lawrence (K-L) grade-dependent compatibility patterns of acupuncture for KOA through complex network analysis, and to predict the potential molecular mechanisms underlying the core prescription via network pharmacology. METHODS: Literature was retrieved from PubMed, EMbase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP, and SinoMed (inception to September 3, 2025). Frequency, association rule, complex network, and K-L grade subgroup analyses were applied. Potential targets of the core prescription were identified via network pharmacology and intersected with disease targets from OMIM, Therapeutic Target, GeneCards, and DrugBank. A protein-protein interaction (PPI) network was constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to explore the potential molecular mechanisms. RESULTS: We included 522 studies, yielding 582 prescriptions involving 123 acupoints. The core prescription comprised 24 acupoints, including Dubi (ST35), Neixiyan (EX-LE4), Liangqiu (ST34), Xuehai (SP10), Zusanli (ST36), Yanglingquan (GB34), Yinlingquan (SP9), among others. K-L subgroup analysis revealed ST35, GB34, SP9, and SP10 as universal core acupoints. The mild-to-moderate subgroup mainly used local acupoints, while the moderate-to-severe subgroup centered on ST35, with increased distal acupoint usage and higher degree values. Network pharmacology analysis identified 77 overlapping targets. Core targets included tumor necrosis factor (TNF), interleukin 6 (IL6), interleukin 1 beta (IL1B), tumor protein p53 (TP53), matrix metallopeptidase 9 (MMP9), signal transducer and activator of transcription 3 (STAT3), transforming growth factor beta 1 (TGFB1), caspase 3 (CASP3), and B-cell lymphoma 2 (BCL2), which were enriched in inflammation and immunity, cartilage metabolism, and tissue repair pathways. CONCLUSION: The core acupoint prescription for KOA features local acupoints combined with distal ones, exhibiting distinct patterns across K-L grades. Our computational findings suggest that core acupoints may potentially delay knee joint degeneration by synergistically regulating inflammation, cartilage metabolism, apoptosis, and tissue repair, although these predictions require experimental validation. These findings provide preliminary evidence and a theoretical basis for standardized clinical point selection and further mechanistic research.

KOA↗

PubMed2026

Active components and potential mechanisms of Wuzhuyu decoction in the treatment of ethanol-induced acute gastric mucosal injury: a network pharmacology and experimental verification.

OBJECTIVE: To investigate the underlying mechanisms and active components of Wuzhuyu decoction (, WD) in alleviating ethanol-induced acute gastric mucosal injury (GMI) using an integrated approach of network pharmacology and experimental verification. METHODS: Sprague-Dawley rats were randomly divided into six groups: control (Con), model (Mod), bismuth potassium citrate (BPC), WD at low (WD-L), medium (WD-M), and high (WD-H) doses. Following seven days of continuous intragastric administration of the respective treatments, an ethanol-induced gastric mucosal injury model was established in all groups except the control group by oral gavage of anhydrous ethanol. The gastric mucosal injury index was evaluated, and pathological changes were assessed viahematoxylin and eosin (HE) staining. Levels of tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione peroxidase (GSH-Px) were measured by enzyme-linked immunosorbent assay (ELISA). The chemical composition was identified by ultra-performance liquid chromatography-tandem mass spectrometry. Active compounds were screened using the Swiss-absorption, distribution, metabolism, and excretion database, and their potential targets were predicted using the Swiss Target Prediction database and bioinformatics annotation database for molecular mechanism. Simultaneously, disease targets related to GMI were retrieved from the online mendelian inheritance in man and GeneCards databases. A protein-protein interaction (PPI) network was constructed, and functional enrichment analyses of gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were performed using the Metascape database. Key predictions from the network pharmacology analysis were subsequently verified through animal experiments. Protein expression levels of B-cell lymphoma-2 (Bcl-2), Bcl-2-associated X protein (Bax), Cleaved Caspase-3, and Cleaved Caspase-9 were analyzed by Western blot. Finally, molecular docking was performed using AutoDock Vina to investigate the interactions between the active components and core targets. RESULTS: WD treatment significantly reduced the gastric mucosal injury index and the levels of TNF-α, IL-1β, MDA, while it increased the activities of SOD and GSH-Px. Histopathological examination revealed marked improvement in gastric tissue morphology. A total of 145 compounds were identified in WD. Network pharmacology analysis identified 440 overlapping targets between WD and GMI. GO and KEGG enrichment analyses highlighted the apoptosis signaling pathway as a key mechanism for WD's protective effect against ethanol-induced GMI. Experimental validation demonstrated that WD treatment reduced the apoptosis of gastric mucosal epithelial cells, promoted the expression of Bcl-2, and inhibited the expression of Bax, Cleaved Caspase-3 and Cleaved Caspase-9. Molecular docking results indicated that dehydroevodiamine, rutaecarpine, evodiamine, hexahydrocurcumin, and isorhamnetin are potential active components in WD that contribute to the inhibition of apoptosis. CONCLUSIONS: WD alleviates ethanol-induced acute GMI, at least in part, by inhibiting the apoptosis. The primary active components responsible for this effect are dehydroevodiamine, rutaecarpine, evodiamine, hexahydrocurcumin, and isorhamnetin.

Drugs, Chinese Herbal↗

PubMed2026

Integrated network pharmacology, molecular docking, and experimental validation to reveal the potential mechanism of Ginsenoside Rg1 on chronic obstructive pulmonary disease.

Ginsenoside Rg1 (GS Rg1), a natural flavonoid exhibiting anti-inflammatory and antioxidant properties, holds significant potential for treatment chronic obstructive pulmonary disease (COPD). Nevertheless, the precise mechanisms underlying its therapeutic effects remain to be fully elucidated. This study aimed to explore the role and potential mechanism of GS Rg1 in the treatment of COPD using network pharmacology, molecular docking, and experimental validation.Targets related to GS Rg1 and COPD were screened from public databases, and the potential common targets were then imported into the STRING database to construct a protein-protein interaction (PPI) network. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis were performed to identify key signaling pathways. Molecular docking was employed to predict the binding interactions between GS Rg1 and core targets. A BEAS-2B cell model induced by lipopolysaccharide(LPS) and cigarette smoke extract(CSE) was used to explore the protective mechanisms of GS Rg1. Western blot analysis was conducted to validate the critical targets and pathways involved in the anti-COPD effects of GS Rg1. Network pharmacology analysis revealed 105 common targets between GS Rg1 and COPD. The EGFR/PI3K/AKT and EGFR/STAT3 signaling pathways were selected for further validation. GS Rg1 was demonstrated to effectively inhibit inflammation and mucus hypersecretion in vitro models of COPD. Western blot results showed that GS Rg1 treatment significantly downregulated the expression of proteins involved in the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathway, consistent with the network pharmacology findings. CSE/LPS exposure induces inflammation and oxidative stress in COPD by disrupting the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathways, and GS Rg1 significantly alleviates these effects, which may be partially through regulating the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathway.

Ginsenosides↗

PubMed2026

Mechanism of Shaofu Zhuyu decoction in improving diabetic mellitus erectile dysfunction inhibition of ferroptosis based on network pharmacology and experimental validation.

OBJECTIVE: To explore the medication patterns and mechanisms of action of Shaofu Zhuyu decoction (, SFZYD) in inhibiting ferroptosis through the nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase 1 (HO-1)/glutathione peroxidase 4 (GPX4) pathway to improve diabetes mellitus-induced erectile dysfunction (DMED). METHODS: Firstly, data mining was employed to identify the medication patterns of Traditional Chinese Medicine (TCM) in treating DMED. Secondly, network pharmacology combined with a ferroptosis database was used to predict the targets. Subsequently, cell counting kit-8, 4',6-diamidino-2-phenylindole staining, reverse transcription-polymerase chain reaction (RT-PCR), and reagent kits were utilized to assess the repair effects of SFZYD on corpus cavernosum endothelial cells (CCECs) induced by high glucose (HG). Metabolic indicators, hematoxylin-eosin staining, and Masson staining were performed to observe the restorative effects of SFZYD on erectile function and penile tissue in diabetic rats. Finally, using Nrf2 inhibitors, the expression of related proteins and mRNAs was detected through Western blotting and RT-PCR. Reactive oxygen species levels and mitochondrial membrane potential were detected by flow cytometry. RESULTS: Data mining revealed that the prescription rules for blood stasis-type DMED coincide with the treatment principles of SFZYD. Network pharmacology identified 48 ferroptosis-related targets, primarily heme oxygenase 1 (HMOX1) and GPX4. Kyoto Encyclopedia of Genes and Genomes enrichment analysis associated these targets with the ferroptosis pathway. SFZYD repaired HG-induced CCECs damage and restored HMOX1 and GPX4 mRNA levels. in vivo, SFZYD effectively alleviated erectile dysfunction and repaired blood sinuses and fibrosis in diabetic rats. Following Nrf2 inhibition, the expression of Nrf2, HMOX1, and GPX4 decreased, while SFZYD intervention reversed these effects, improving ferroptosis and oxidative stress indicators. CONCLUSION: This study explored the potential mechanisms and efficacy of the TCM prescription SFZYD in treating DMED through data mining, network pharmacology analysis, cellular experiments, and animal experiments. It verified its effectiveness in repairing HG-induced CCECs damage, improving the pathological state of penile tissue in diabetic rats, and restoring erectile function by regulating the Nrf2/HO-1/GPX4 signaling pathway. This provides new insights and scientific evidence for treating DMED with TCM.

Male↗

PubMed2025

Mechanisms of Baishao () and Gancao () on major depressive disorder: network pharmacology and o validation.

OBJECTIVE: To elucidate the potential molecular mechanisms of Baishao (Radix Paeoniae Alba) (APR) and Gancao (Radix Glycyrrhizae) (GR) in the treatment of major depressive disorder (MDD). METHODS: Based on the network pharmacology strategy, the therapeutic targets of APR-GR for MDD are predicted, differentially expressed genes from the Integrated Gene Expression database for MDD patients. Topological networks are constructed, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways are enriched, their pharmacological potential molecular mechanisms are discussed, and molecular docking analysis is performed to further motivate compositional and target interactions. Finally, the CUMS mouse model is used for validation. RESULTS: Based on the pharmacological network analysis, 17 candidate genes were identified, including muscarinic acetylcholine receptor M1(CHRM1), muscarinic acetylcholine receptor M2 (CHRM2), β2-adrenergic receptor (ADRB2), adrenergic α1A receptor (ADRA1A) and 5-hydroxytryptamine transfer protein (SLC6A4), etc. which are primarily involved in reactive oxygen species metabolism, neural response, oxidative stress response and other biological processes. Further analysis revealed that these targets are closely related to Ca2+, cyclic adenosine monophosphate, etc., and exhibit optimal binding sites after molecular docking. Finally, in vivo experiments were performed and it was found that APR-GR significantly improved depression-like behavior and hippocampal impairment in mouse models, increasing brain levels of 5-hydroxytryptamine, dopamine and norepinephrine and decreasing serum levels of corticotropin releasing hormone, corticosterone and adreno cortico tropic hormone, while upregulating the expression of CHRM1, CHRM2 and ADRA1A in the hippocampus and downregulating the expression of SLC6A4 and ADRB2. CNCLUSION: This research sheds light on the potential molecular mechanism of APR-GR to improve MDD.

Major Depressive Disorder↗

PubMed2025

Network pharmacology and molecular docking to explore the active compounds and mechanisms of Jerusalem artichoke for treating diabetes.

The effective components and mechanism of Jerusalem artichokes (JAs) in lowering blood glucose were studied through network pharmacology and molecular docking. The active compounds of Jerusalem artichoke were obtained by referring to the literature, and the active compounds were screened. The targets were predicted by the SwissTargetPrediction database, and the disease targets were screened using GeneCard, Disgenet, and OMIM databases. The protein-protein interaction (PPI) network diagram was constructed using the STRING database, and the intersection target was analyzed by gene ontology (GO) biological function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using the David database. Finally, molecular docking was verified using AutoDockTools1.5.7 software. After screening, 412 gene targets, 476 disease targets, and 64 intersection targets were identified. The results of GO biological function analysis and KEGG pathway analysis showed that the technology was involved in multiple biological processes and regulatory pathways for hypoglycemia, such as the HIF-1, PI3K-Akt, and AMPK signaling pathways. Molecular docking results showed that Jasmonate, Liquiritigenin and Inulin of JAs had strong binding effects with PPARG and STAT3. JAs exert hypoglycemic effects through multi-component, multi-target and multi-pathway. In summary, this study investigated the hypoglycemic mechanism of JAs using network pharmacology and molecular interconnection technology, and concluded that JAs exert hypoglycemic effects through multiple components, targets, and pathways, which provides a theoretical basis for the study of JAs.

Molecular Docking Simulation↗

PubMed2025

Exploration of the mechanism of the Mongolian medicine Tonglaga-5 (-5) for the treatment of n-methyl-n'-nitro-n-nitrosoguanidine-induced chronic atrophic gastritis based on network pharmacology and metabolomics.

OBJECTIVE: To explore the mechanism of Tonglaga-5 (-5, TLG-5) for the treatment of chronic atrophic gastritis (CAG), based on network pharmacology and metabolomics. METHODS: Forty-eight male Sprague-Dawley rats were randomly divided into six groups (n = 8): control group; model group; teprenone group, and low-, median-, and high- dose TLG-5 groups. The enzyme linked immunosorbent assay (ELISA) was used to measure the expression of pepsinogen Ⅰ (PG Ⅰ), pepsinogen Ⅱ (PG Ⅱ) and gastrin-17 (G-17) in the serum. Hematoxylin and eosin staining were performed to observe the pathological condition. And the network pharmacology was employed to identify the targets and signaling pathways of TLG-5 affecting CAG. Then, the metabolomics approach was applied to explore the specific metabolites and metabolic pathways. Finally, validation was performed using the "metabolite-gene" interaction network, molecular docking and quantitative real-time polymerase chain reaction (qPCR). RESULTS: High-dose TLG-5 significantly improved the expression of PG Ⅰ, PGR (PG Ⅰ/ PG Ⅱ) and G-17 (P < 0.05) and inhibited the expression of phosphoinositide-3-kinase regulatory subunit 2, AKT serine/threonine kinase (AKT), hypoxia-inducible factor 1-alpha (HIF-1α) (P < 0.05). Further, high-dose TLG-5 reduced the number of glands was reduced, and fibrosis with oedema and ecchymosis appeared at the base. Overlapping TLG-5 and CAG gene targets produced 270 interactive targets. The results of gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses suggested that TLG-5 could affect CAG through the predominantly cancer and inflammation-related pathways. Pyrimidine metabolism was identified as a significantly differential pathway in the mechanism of TLG-5 for treating CAG. CONCLUSIONS: TLG-5 exerts a therapeutic effect on CAG by regulating β-alanine metabolism, pyrimidine metabolism pathways, and inhibiting the PI3K-AKT signaling pathway and HIF-1 signaling pathways.

Animals↗

PubMed2026

Elucidating the Mechanism of Xiaoqinglong Decoction in Chronic Urticaria Treatment: An Integrated Approach of Network Pharmacology, Bioinformatics Analysis, Molecular Docking, and Molecular Dynamics Simulations.

INTRODUCTION: Xiaoqinglong Decoction (XQLD) is a traditional Chinese medicinal formula commonly used to treat chronic urticaria (CU). However, its underlying therapeutic mechanisms remain incompletely characterized. This study employed an integrated approach combining network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulations to identify the active components, potential targets, and related signaling pathways involved in XQLD's therapeutic action against CU, thereby providing a mechanistic foundation for its clinical application. METHODS: The active components of XQLD and their corresponding targets were identified using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. CU-related targets were retrieved from the OMIM and GeneCards databases. Subsequently, core components and targets were determined via protein-protein interaction (PPI) network analysis and component-target-pathway network construction. Topological analyses were performed using Cytoscape software to prioritize core nodes within these networks. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted via the DAVID database to identify enriched biological processes and signaling pathways. Molecular docking was performed to evaluate binding interactions between key components and core targets, while molecular dynamics (MD) simulations were employed to assess the stability of the component-target complexes with the lowest binding energy. Finally, CU-related targets of XQLD were validated using datasets from the Gene Expression Omnibus (GEO) database. RESULTS: A total of 135 active components and 249 potential targets of XQLD were identified, alongside 1,711 CU-related targets. Core components, such as quercetin, kaempferol, beta-sitosterol, naringenin, stigmasterol, and luteolin, exhibited high degree values in the constructed networks. The core targets identified included AKT1, TNF, IL6, TP53, PTGS2, CASP3, BCL2, ESR1, PPARG, and MAPK3. GO and KEGG pathway enrichment analyses revealed the PI3K-Akt signaling pathway as a central regulatory mechanism. Molecular docking studies demonstrated strong binding affinities between active components and core targets, with the stigmasterol-AKT1 complex exhibiting the lowest binding energy (-11.4 kcal/mol) and high stability in MD simulations. Validation using GEO datasets identified 12 core genes shared between CU-related targets and XQLD-associated targets, including PTGS2 and IL6, which were also prioritized as core targets in the network pharmacology analyses. DISCUSSION: This study comprehensively integrates multidisciplinary approaches to clarify the potential molecular mechanisms of XQLD in treating CU, highlighting its multitarget and multipathway synergistic effects. Molecular docking and dynamics simulations confirm the stable interaction between stigmasterol and the core target AKT1. Additionally, GEO dataset analysis verifies the pathogenic relevance of targets such as PTGS2 and IL6, significantly enhancing the credibility of our findings. These results provide a modern scientific basis for the traditional therapeutic effects of XQLD on CU and have important implications for developing multitarget treatments for this condition. However, this study mainly relies on database mining and computational simulations. Further in vitro and in vivo experimental validations are needed to confirm the predicted component-target-pathway interactions. CONCLUSION: This study identifies the active components, potential targets, and pathways through which XQLD exerts therapeutic effects on CU. These findings provide a theoretical foundation for further mechanistic studies and support their clinical application in the treatment of CU.

Molecular Docking Simulation↗

PubMed2026

Elucidating the mechanism of Buyang Huanwu Decoction in the treatment of ischemic stroke: A network pharmacology and molecular docking study.

A large number of functional disorders and uncomfortable symptoms often remain following ischemic stroke (IS). Existing drug therapy is not ideal for the direct improvement of symptoms, which often leads to poor patient compliance with physical rehabilitation therapy. Buyang Huanwu Decoction (BYHWD) is a famous prescription that is effective in treating IS, especially during the sequela stage of IS. We analyzed the therapeutic mechanism of BYHWD through network pharmacology. This study aims to investigate the potential active ingredients, targets, and signaling pathways of BYHWD for the treatment of IS, utilizing network pharmacology and molecular docking technology. The active ingredients of 7 Chinese herbs in BYHWD were obtained from the Traditional Chinese Medicine Systems Pharmacology and HERB databases, and IS-related disease targets were searched in the DisGeNET, GeneCards, and OMIM databases. The protein-protein interaction network was constructed using the STRING database and analyzed by Cytoscape 3.10.2 software. Additionally, the target genes were uploaded to the Database for Annotation, Visualization, and Integrated Discovery website for Gene Ontology alongside Kyoto Encyclopedia of Genes and Genomes analyses. With the assistance of AutoDockTools and PyMOL software (Schrödinger, Inc.), a validation of molecular docking results and a visualization of the results were performed. The results showed that there were 190 intersection targets between the active drug components and IS, corresponding to 61 active components, among which the top 5 target genes were tumor suppressor protein 53, Jun proto-oncogene, AKT serine/threonine kinase 1, mitogen-activated protein kinase 1, and estrogen receptor alpha. The PI3K-Akt signaling pathway is one of the top 10 pathways. The molecular docking results indicated that most of the top 5 targets had good affinities for the 8 core compounds. This computational analysis suggests that BYHWD may treat IS through multiple targets and pathways. It may play a neuroprotective role by regulating the inflammatory response, oxidative stress, apoptosis, autophagy, and vascular endothelial homeostasis. The identification of core effective components provides a theoretical foundation and candidate compounds for further investigation into new drugs for the treatment of sequelae after IS.

Drugs, Chinese Herbal↗

PubMed2026

Exploring the potential mechanism of Huang'e capsule against spontaneous benign prostatic hyperplasia in beagle dogs using high-performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry, gas chromatography-mass spectrometry, and network pharmacology.

OBJECTIVE: To investigate the therapeutic efficacy and potential mechanisms of Huang'e capsule (, HEC) against benign prostatic hyperplasia (BPH). METHODS: The chemical profile of HEC was characterized using high-performance liquid chromatographyquadrupole-time-of-flight tandem mass spectrometry (HPLC-Q-TOF-MS/MS) and gas chromatography-mass spectrometry (GC-MS) techniques. Network pharmacology was employed to analyze potential active compounds, core targets, and key signaling pathways. A spontaneous canine BPH model was used to evaluate the efficacy of HEC and to validate the predictions from network pharmacology. RESULTS: A total of 51 chemical components of HEC were identified, comprising 19 from HPLC-Q-TOF-MS/MS and 32 from GC-MS analyses. The "components-targets-pathways-disease" network analysis predicted active compounds including (s)-coriolic acid, ethyl linoleate, peroxysimulenoline, physcion, and kaempferol. Core targets identified included cytochrome P450 family 19 subfamily A member 1, estrogen receptor 2 (ESR2), ESR1, and androgen receptor (AR). Kyoto Encyclopedia of Genes and Genomes enrichment analysis suggested that HEC's effects on BPH involve pathways related to cancer, phosphatidylinositol 3-kinase (PI3K) -protein kinase B (Akt)-signaling, proteoglycans in cancer, and prostate cancer signaling. Animal experiments showed that HEC significantly improved maximum urinary flow rates, reduced prostate weight, volume, and prostate index, and ameliorated histopathological changes. HEC regulated the balance between apoptosis and proliferation by downregulating AR and estrogen receptor alpha expression, while upregulating estrogen receptor beta expression. CONCLUSION: These findings indicate that HEC effectively ameliorates spontaneous BPH in beagle dogs, likely by regulating the balance between cell apoptosis and proliferation through multiple signaling pathways.

Animals↗