BACKGROUND: At present, drug development for treating Alzheimer\'s disease (AD) is still highly challenging. Eriodictyol (ERD) has shown great potential in treating AD, but its molecular mechanism is unknown.
OBJECTIVE: We aimed to explore the potential targets and mechanisms of ERD in the treatment of AD through network pharmacology, molecular docking, and molecular dynamics simulations.
METHODS: ERD-related targets were predicted based on the CTD, SEA, PharmMapper, Swiss TargetPrediction, and ETCM databases, and AD-related targets were predicted through the TTD, OMIM, DrugBank, GeneCards, Disgenet, and PharmGKB databases. Protein-protein interaction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomics analyses (KEGG) were used to analyse the potential targets and key pathways of the anti-AD effect of ERD. Subsequently, potential DEGs affected by AD were analysed using the AlzData database, and their relationships with ERD were evaluated through molecular docking and molecular dynamics simulations.
RESULTS: A total of 198 ERD-related targets, 3716 AD-related targets, and 122 intersecting targets were identified. GO annotation analysis revealed 1497 biological processes, 78 cellular components, and 132 molecular functions of 15 core targets. KEGG enrichment analysis identified 168 signalling pathways. We ultimately identified 9 DEGs associated with AD through analysis of the AlzData data. Molecular docking results showed good affinity between the selected targets and ERD, with PTGS2, HSP90AA1, and BCL2. The interactions were confirmed by molecular dynamics simulations.
CONCLUSIONS: ERD exerts anti-AD effects through multiple targets, pathways, and levels, providing a theoretical foundation and valuable reference for the development of ERD as a natural anti-AD drug.

Du Zhong is a valuable Chinese medicinal herb unique to China. It is a national second- class precious protected tree, known as \"plant gold\", which has been used to treat various diseases since ancient times. The main active ingredients are lignans, phenylprophetons, flavonoids, iridoids and steroids and terpenoids, which have pharmacological effects such as lowering blood pressure, enhancing immunity, regulating bone metabolism, protecting nerve cells, protecting liver and gallbladder and regulating blood lipids. In this paper, a comprehensive review of Eucommia ulmoides Oliv. was summarized from the processing and its compositional changes, applications, chemical components, pharmacological effects, and pharmacokinetics, and the Q-marker of Eucommia ulmoides Oliv. is preliminarily predicted from the aspects of traditional efficacy, medicinal properties and measurability of chemical composition, and the pharmacodynamic substance basis and potential Q-marker of Eucommia ulmoides Oliv. are further analyzed through network pharmacology. It is speculated that quercetin, kaempferol, β-sitosterol, chlorogenic acid and pinoresinol diglucoside components are selected as quality markers of Eucommia ulmoides Oliv., which provide a basis for the quality control evaluation and follow-up research and development of Eucommia ulmoides Oliv.

OBJECTIVE: This study aimed to investigate the mechanism of SSD in rats with Collagen- Induced Arthritis (CIA).
BACKGROUND: Rheumatoid arthritis (RA) is a complex immune disease characterized by bilateral symmetrical multi-joint pain and swelling. Si Shen Decoction (SSD) has shown good results in treating RA in clinical applications, but its mechanism of action remains unclear.
OBJECTIVE: To investigate the mechanism of SSD in rats with Collagen-Induced Arthritis (CIA).
METHODS: Bioinformatics and network pharmacology analyses were used to predict the possible treatment targets and signaling pathways. Elisa, Western blotting, and quantitative real-time polymerase chain reaction were used to verify the mechanism of SSD in the treatment of RA.
RESULTS: FABP4, MMP9, and PTGS2 were the most common predicted therapeutic targets. SSD treatment significantly reduced synovitis, ankle swelling and bone erosion in CIA rats. The SSD group also significantly reduced the serum secretion of CRP, TNFα, and IL1β, decreased mRNA levels of FABP4, IKKα, and p65 in the synovial membrane, but increased PPARγ. Western blot showed that SSD treatment could significantly reduce the expression of FABP4, IKKα, and phosphorylated p65 (p-p65) proteins in the synovium. SSD was found to inhibit the FABP4/PPARγ/NFκB signaling pathway and reduce the inflammatory response in CIA rats. The therapeutic effect of SSD was significant with the increase of dose.
CONCLUSIONS: SSD can relieve joint symptoms in CIA rats and alleviate inflammation by inhibiting the FABP4/PPARγ/NFκB signaling pathway. The effect of high-dose SSD was more prominent.

BACKGROUND: Cinnamic acid (Cinn) is a phenolic acid of Cinnamomum cassia (L.) J. Presl. that can ameliorate diabetic nephropathy (DN). However, comprehensive therapeutic targets and underlying mechanisms for Cinn against DN are limited.
OBJECTIVE: In this study, a network pharmacology approach and in vivo experiments were adopted to predict the pharmacological effects and mechanisms of Cinn in DN therapy.
METHODS: The nephroprotective effect of Cinn on DN was investigated by a streptozotocininduced diabetes mellitus (DM) mouse model. The protein-protein interaction network of Cinn against DN was established by a network pharmacology approach. The core targets were then identified and subjected to molecular docking with Cinn.
RESULTS: Cinn treatment effectively restored body weight, ameliorated hyperglycemia, and reduced kidney dysfunction markers in DM mice, also demonstrating a reduction in tissue injury. Network pharmacology analysis identified 298 DN-Cinn co-target genes involved in various biological processes and pathways. Seventeen core targets were identified, eight of which showed significant differential expression in the DN and healthy control groups. Molecular docking analysis revealed a strong interaction between Cinn and PTEN. Cinn treatment downregulated the PTEN protein expression in DM mice.
CONCLUSIONS: This study revealed the multi-target and multi-pathway characteristics of Cinn against DN. Cinn improved renal pathological damage of DN, which was related to the downregulation of PTEN.

Objective: Tubeimoside-1 (TBMS1) is a plant-derived triterpenoid saponin that exhibits pharmacological properties and anti-tumor effects, but the anti-tumor microvessels of action of TBMS1 remains to be completely elucidated. This study aims to verify the effect of TBMS1 on tumor microvessels and its underlying mechanism. Methods: A SKOV3 xenografted mouse model were constructed to evaluate the anti-tumor microvessels of TBMS1 in vivo, followed by function assays to verify the effects of TBMS1 on the proliferation, cell cycle, migration, and tubule formation of vascular endothelial cells in vitro. Next, based on network pharmacology, the drug/disease-target protein-protein interaction (PPI) networks, biological functions and gene enrichment analyses were performed to predict the underlying mechanism. Finally, molecules and pathways associated with tumor trans-endothelial migration were identified. Results: TBMS1 treatment effectively reduced tumor microvessel density in ovarian cancer model and inhibited the proliferation, cell cycle, migration, and induced apoptosis of vascular endothelial cells in vitro. Network pharmacological data suggested that tumor cell adhesion and trans-endothelial migration may participate in antiangiogenic effects of TBMS1. By endothelial adhesion and permeability assay, we identified that tumor adhesion and the permeability of endothelial monolayers were reduced by TBMS1. Furthermore, adhesion protein (VCAM-1and ICAM-1) and tight junction (TJ) proteins (VE-cadhsion, ZO-1 and claudin-5) were found to be regulated. Finally, Akt, Erk1/2, Stat3 and NF-κB signaling were decreased by TBMS1 treatment. Conclusion: To sum up, our findings strongly suggest that clinical application of TBSM1 may serve as a vasoactive drug treatment to suppress tumor progression.

Magnolol is beneficial against inflammation-mediated damage. However, the underlying mechanisms by which magnolol exerts anti-inflammatory effects on macrophages remain unclear.
In this study, network pharmacology and experimental validation were used to assess the effect of magnolol on inflammation caused by lipopolysaccharide (LPS) in RAW264.7 cells.
Genes related to magnolol were identified in the PubChem and Swiss Target Prediction databases, and gene information about macrophage polarization was retrieved from the GeneCards, OMIM, and PharmGKB databases. Analysis of protein-protein interactions was performed with STRING, and Cytoscape was used to construct a component-target-disease network. GO and KEGG enrichment analyses were performed to ascertain significant molecular biological processes and signaling pathways. LPS was used to construct the inflammatory cell model. ELISA and qRT.PCR were used to examine the expression levels of inflammationassociated factors, immunofluorescence was used to examine macrophage markers (CD86 and CD206), and western blotting was used to examine protein expression levels.
The hub target genes of magnolol that act on macrophage polarization were MDM2, MMP9, IL-6, TNF, EGFR, AKT1, and ERBB2. The experimental validation results showed that magnolol treatment decreased the levels of proinflammatory factors (TNF-α, IL-1β, and IL-6). Moreover, the levels of anti-inflammatory factors (IL-10 and IL-4) were increased. In addition, magnolol upregulated the expression of M2 markers (Agr-1, Fizzl, and CD206) and downregulated M1 markers (CD86). The cell experiment results supported the network pharmacological results and demonstrated that magnolol alleviated inflammation by modulating the PI3k-Akt and P62/keap1/Nrf2 signaling pathways.
According to network pharmacology and experimental validation, magnolol attenuated inflammation in LPS-induced RAW264.7 cells mainly by inhibiting M1 polarization and enhancing M2 polarization by activating the PI3K/Akt and P62/keap1/Nrf2 signaling pathways.

BACKGROUND: Rheumatoid Arthritis (RA) is a chronic autoimmune disease that can lead to joint pain and disability, and seriously impact patients\' quality of life. Strychni Semen combined with Atractylodes Macrocephala koidz (SA) have pronounced curative effect on RA, and there is no poisoning of Strychni Semen (SS). However, its pharmacological mechanisms are still unclear.
OBJECTIVE: In this study, we aimed to investigate the pharmacological mechanisms of Strychni Semen combined with Atractylodes Macrocephala Koidz (SA) for the treatment of RA.
METHODS: We used network pharmacology to screen the active components of SA and predict the targets and pathways involved. Results originating from network pharmacology were then verified by animal experiments.
RESULTS: Network pharmacology identified 81 active ingredients and 141 targets of SA; 2640 disease- related genes were also identified. The core targets of SA for the treatment of RA included ALB, IL-6, TNF and IL-1β. A total of 354 gene ontology terms were identified by Gene ontology (GO) enrichment analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results showed that SA was closely associated with TNF signaling pathways in the treatment of RA. Furthermore, according to the predicted results of network pharmacology, we established a rat model of Adjuvant Arthritis (AA) for in vivo experiments. Analysis showed that each treatment group led to an improvement in paw swelling, immune organ coefficient and synovial tissue morphology in AA rats to different degrees, inhibit the expression levels of IL-1β, TNF-α and IL-6, upregulated the levels of Fas, Bax and Caspase 3, down-regulated the expression levels of Fas-L, Bcl-2 and p53.
CONCLUSIONS: SA has an anti-RA effect, the mechanism underlying the therapeutic action of SA in AA rats was related to the regulation of apoptosis signaling pathways.

BACKGROUND: Herbal drugs when used in combination with chemotherapeutic drugs can reduce the side effects and increase the efficacy by acting on multiple targets. Andrographolide (AG), a diterpene lactone isolated from Andrographis paniculata Nees, is a bioactive compound with anticancer potential, and 5-fluorouracil (FU), a pyrimidine analogue, is used in the treatment of cancer. Both drugs are used to formulate combination nanoformulation to increase absorption, thereby increasing their oral bioavailability.
OBJECTIVE: The study aimed to develop and validate stability indicating simultaneous HPTLC method for quantification of FU and AG in combination nanoformulation along with in silico docking and network pharmacology analysis to understand the interaction between the drugs and cancer targets.
METHODS: Chromatographic separation was performed using mobile phase chloroform: methanol: formic acid (9: 0.5: 0.5, v/v/v) on HPTLC silica plates 60 F254 as a stationary phase using UV-Vis detector and HPTLC scanner at 254 nm. Further, in silico docking analysis was performed to predict the binding affinity of AG and FU with different proteins and network pharmacology to find out the exact biomolecular relationship of AG and FU in alleviating cancer.
RESULTS: The data from the calibration curve showed a good linear regression relationship with r² = 0.9981 (FU) and r² = 0.9977 (AG) in the concentration range of 0.1-2.0 μg/mL. The developed method was validated according to the ICH guidelines. Stability studies showed changes in peak patterns and areas. Bioinformatic and network pharmacology analyses of AG and FU with target proteins and genes associated with cancer play a multimechanistic role in alleviating cancer.
CONCLUSIONS: The developed method has been concluded to be robust, simple, precise, reproducible, accurate, and stability indicating for simultaneous quantification of AG and FU, and the molecular interaction studies have further indicated that the combination nanoformulation of AG and FU could be effective against cancer.

BACKGROUND: It remains a challenge to effectively treat prostate cancer (PCa) that affects global men\'s health. It is essential to find a natural alternative drug and explore its antitumor mechanism due to the serious toxic side effects of chemotherapy.
METHODS: The targets and signaling pathways were analyzed by network pharmacology and verified by molecular docking and LC-MS. The proliferation, apoptosis, invasion, and migration of DU145 cells were detected by the CCK-8 method, flow cytometry, and Transwell, respectively. The Bcl-2, caspase-3, CXCL12, and CXCR4 expressions and Akt1 phosphorylation were determined by Western blot. Akt1 overexpression was applied to identify the involvement of the Akt1- related CXCL12/CXCR4 pathway in regulating PCa. Nude mouse tumorigenesis was performed to analyze the effect of quercetin on PCa in vivo.
RESULTS: Network pharmacology analysis displayed that quercetin was the main active component of the Yishen Tongluo Jiedu recipe and Akt1 was the therapy target of PCa. LC-MS analysis showed that quercetin existed in the Yishen Tongluo Jiedu recipe, and molecular docking proved that quercetin bound to Akt1. Quercetin inhibited the proliferation of DU145 cells by upregulating caspase-3 and downregulating Bcl-2 expression, promoting apoptosis and reducing invasion and migration abilities. In vivo, quercetin downregulated CXCL12 and CXCR4 expressions and inhibited PCa development by the Akt1-related CXCL12/CXCR4 pathway.
CONCLUSIONS: As the active component of the Yishen Tongluo Jiedu recipe, quercetin inhibited PCa development through the Akt1-related CXCL12/CXCR4 pathway. This study provided a new idea for PCa treatment and a theoretical basis for further research.

Diabetic nephropathy (DN) is a major complication of diabetes. Schisandrin B (Sch) is a natural pharmaceutical monomer that was shown to prevent kidney damage caused by diabetes and restore its function. However, there is still a lack of comprehensive and systematic understanding of the mechanism of Sch treatment in DN.
We aim to provide a systematic overview of the mechanisms of Sch in multiple pathways to treat DN in rats.
Streptozocin was used to build a DN rat model, which was further treated with Sch. The possible mechanism of Sch protective effects against DN was predicted using network pharmacology and was verified by quantitative proteomics analysis.
High dose Sch treatment significantly downregulated fasting blood glucose, creatinine, blood urea nitrogen, and urinary protein levels and reduced collagen deposition in the glomeruli and tubule-interstitium of DN rats. The activities of superoxide dismutase (SOD) and plasma glutathione peroxidase (GSH-Px) in the kidney of DN rats significantly increased with Sch treatment. In addition, the levels of IL-6, IL-1β, and TNF-α were significantly reduced in DN rats treated with Sch. 11 proteins that target both Sch and DN were enriched in pathways such as MAPK signaling, PI3K-Akt signaling, renal cell carcinoma, gap junction, endocrine resistance, and TNF signaling. Furthermore, quantitative proteomics showed that Xaf1 was downregulated in the model vs. control group and upregulated in the Sch-treated vs. model group. Five proteins, Crb3, Tspan4, Wdr45, Zfp512, and Tmigd1, were found to be upregulated in the model vs. control group and downregulated in the Sch vs. model group. Three intersected proteins between the network pharmacology prediction and proteomics results, Crb3, Xaf1, and Tspan4, were identified.
Sch functions by relieving oxidative stress and the inflammatory response by regulating Crb3, Xaf1, and Tspan4 protein expression levels to treat DN disease.