Molecular Docking Validation Research Articles

Mechanisms of action of Shizhenqing granules for eczema treatment: Network pharmacology analysis and experimental validation

BackgroundJiuwan decoction has been used to treat chronic eczema since the Qing Dynasty. According to clinical experience, Shizhenqing granules (SZQG), derived from the Jiuwan decoction, exert beneficial clinical effects on acute eczema and reduce recurrence. Therefore, we elucidated the underlying mechanisms of SZQG through network pharmacology, molecular docking, and experimental validation. MethodsThe main chemical components of SZQG were identified by ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). And the targets of SZQG against eczema were screened out through online databases. Then, the regulatory network map of the “herbal compound–potential target” and the target protein-protein interaction (PPI) network was constructed. The Gene Ontology (GO) analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using by R language. Additionally, the interaction between the active compounds and the targets was verified by molecular docking technology. Finally, an experiment in vivo was used to verify the effect and mechanism of SZQG on eczema. ResultsUsing UHPLC-MS/MS, 158 main chemical compounds of SZQG were identified, and 72 compounds were selected according to the criteria for further analysis. All 237 potential targets of SZQG in eczema were explored using multiple online databases. The network with 14 core targets was screened out, including STAT3, RELA, TNF, JUN, MAPK3, IL-6, PIK3CA, STAT1, MAPK14, MAPK1, IL-4, NFKBIA, IL1B, and MYC. KEGG analyses indicated that the therapeutic effects of SZQG on eczema were predominantly associated with cytokine-cytokine receptor interaction, TNF, MAPK, NF-κB, toll-like receptor, T cell receptor, and Th1 and Th2 cell differentiation signaling pathways. Furthermore, the good affinity between the core compounds and core targets was verified by molecular docking technology, particularly for RELA and MAPK. Animal experiments revealed that SZQG downregulated MAPK14, RELA, T-bet, and GATA3 mRNA expression, reduced immunoglobulin E (IgE) and interleukin-4 (IL-4) serum concentrations, and improved eczema-like lesions in model rats. ConclusionThis study identified potential targets and signaling pathways of SZQG in the treatment of eczema, whereby RELA and MAPK14 may constitute the main therapeutic targets of SZQG in cytokine regulation and reduction of inflammatory responses.

Inhibition of IL-17 signaling in macrophages underlies the anti-arthritic effects of halofuginone hydrobromide: Network pharmacology, molecular docking, and experimental validation

BackgroundRheumatoid arthritis (RA) is a prevalent autoimmune disease marked by chronic synovitis as well as cartilage and bone destruction. Halofuginone hydrobromide (HF), a bioactive compound derived from the Chinese herbal plant Dichroa febrifuga Lour., has demonstrated substantial anti-arthritic effects in RA. Nevertheless, the molecular mechanisms responsible for the anti-RA effects of HF remain unclear.MethodsThis study employed a combination of network pharmacology, molecular docking, and experimental validation to investigate potential targets of HF in RA.ResultsNetwork pharmacology analyses identified 109 differentially expressed genes (DEGs) resulting from HF treatment in RA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses unveiled a robust association between these DEGs and the IL-17 signaling pathway. Subsequently, a protein-protein interaction (PPI) network analysis revealed 10 core DEGs, that is, EGFR, MMP9, TLR4, ESR1, MMP2, PPARG, MAPK1, JAK2, STAT1, and MAPK8. Among them, MMP9 displayed the greatest binding energy for HF. In an in vitro assay, HF significantly inhibited the activity of inflammatory macrophages, and regulated the IL-17 signaling pathway by decreasing the levels of IL-17 C, p-NF-κB, and MMP9.ConclusionIn summary, these findings suggest that HF has the potential to inhibit the activation of inflammatory macrophages through its regulation of the IL-17 signaling pathway, underscoring its potential in the suppression of immune-mediated inflammation in RA.

Network pharmacology combined with lipidomics to reveal the regulatory effects and mechanisms of Kangzao granules in the hypothalamus of rats with central precocious puberty

Central precocious puberty (CPP) is a prevalent endocrine disorder that primarily affects children, specifically females, and is associated with various physical and psychological complications. Although Kangzao granules (KZG) are efficacious in managing CPP, the underlying mechanisms remain unclear. Therefore, this study aimed to elucidate the therapeutic mechanisms of KZG using network pharmacology, molecular docking, pharmacodynamics, and pathway validation. A putative compound–target–pathway network was constructed using Cytoscape, before KEGG and Gene Ontology enrichment analyses were conducted. Moreover, molecular docking was performed using AutoDockTools. Quality control of the 10 key components of KZG was carried out using UHPLC-ESI/LTQ-Orbitrap-MS/MS, and hypothalamic lipids were analyzed using UHPLC-Q-Exactive Orbitrap MS/MS. In total, 87 bioactive compounds that targeting 110 core proteins to alleviate CPP were identified in KZG. Lipidomic analysis revealed 18 differential lipids among the CPP, KZG, and control groups, wherein fatty acids were significantly reduced in the model group; however, these changes were effectively counteracted by KZG treatment. Molecular docking analysis revealed a strong binding affinity between flavonoids and RAC-alpha serine/threonine-protein kinase (AKT) when docked into the crystal structure. Moreover, a substantial disruption in lipid metabolism was observed in the model group; however, treatment with KZG efficiently reversed these alterations. Furthermore, the phosphoinositide 3-kinase/AKT signaling pathway was identified as a pivotal regulator of hypothalamic lipid metabolism regulator. Overall, this study highlights the effectiveness of a multidisciplinary approach that combines network pharmacology, lipidomics, molecular docking, and experimental validation in the elucidation of the therapeutic mechanisms of KZG in CPP treatment.

Phillyrin: an adipose triglyceride lipase inhibitor supported by molecular docking, dynamics simulation, and pharmacological validation.

Adipose triglyceride lipase (ATGL), a key enzyme responsible for lipolysis, catalyzes the first step of lipolysis and converts triglycerides to diacylglycerols and free fatty acids (FFA). Our previous work suggested that phillyrin treatment improves insulin resistance in HFD-fed mice, which was associated with ATGL inhibition. In this study, using docking simulation, we explored the binding pose of phillyrin and atglistatin (a mouse ATGL inhibitor) to ATGL in mouse. From the docking results, the interactions with Ser47 and Asp166 were speculated to have caused phillyrin to inhibit ATGL in mice. Further, molecular dynamics simulation of 100 ns and MM-GBSA were conducted for the protein-ligand complex, which indicated that the system was stable and that phillyrin displayed a better affinity to ATGL than did atglistatin throughout the simulation period. Moreover, the results of pharmacological validation were consistent with those of the in silico simulations. In summary, our study illustrates the potential of molecular docking to accurately predict the binding protein produced by AlphaFold and suggests that phillyrin is a potential small molecule that targets and inhibits ATGL enzymatic activity. The ATGL-predicted protein structure, verified by PROCHECK, was determined using AlphaFold. Molecular docking, molecular dynamics simulation, and prime molecular mechanic-generalized born surface area were performed using LigPrep, Desmond, and prime MM-GBSA modules of Schrödinger software release 2021-2, respectively. For pharmacological validation, immunoblotting was performed to assess ATGL protein expression. The fluorescence intensity and glycerol concentration were quantified to evaluate the efficiency of phillyrin in inhibiting ATGL.

Uncovering the Mechanisms of Cinnamic Acid Treating Diabetic Nephropathy Based on Network Pharmacology, Molecular Docking, and Experimental Validation.

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. 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. 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. 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. 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.

An integrated network pharmacology, molecular docking and experiment validation study to investigate the potential mechanism of Isobavachalcone in the treatment of osteoarthritis

BackgroundIn many different plants, including Dorstenia and Psoralea corylifolia L., Isobavachalcone (IBC) is a naturally occurring flavonoid chemical having a range of biological actions, including anti-inflammatory, immunomodulatory, and anti-bacterial. The “Theory of Medicinal Properties” of the Tang Dynasty states that Psoralea corylifolia L. has the ability to alleviate discomfort in the knees and waist. One of the most widespread chronic illnesses, osteoarthritis (OA), is characterized by stiffness and discomfort in the joints. However, there hasn't been much research done on the effectiveness and underlying processes of IBC in the treatment of osteoarthritis. Aim of the studyTo investigate the potential efficacy and mechanism of IBC in treating osteoarthritis, we adopted an integrated strategy of network pharmacology, molecular docking and experiment assessment. Materials and methodsThe purpose of this research was to determine the impact of IBC on OA and the underlying mechanisms. IBC and OA possible targets and processes were predicted using network pharmacology, including the relationship between IBC and OA intersection targets, Cytoscape protein-protein interaction (PPI) to obtain key potential targets, and GO and KEGG pathway enrichment analysis to reveal the probable mechanism of IBC on OA. Following that, in vitro tests were carried out to confirm the expected underlying processes. Finally, in vivo tests clarified IBC's therapeutic efficacy on OA. ResultsWe anticipated and validated that the impact of IBC on osteoarthritis is mostly controlled by the PI3K-AKT–NF–κB signaling pathway by combining the findings of network pharmacology analysis, molecular docking and Experiment Validation. ConclusionsThis study reveals the IBC has potential to delay OA development.

Network Pharmacology, Molecular Docking, and Experimental Verification to Reveal the Mitophagy-Associated Mechanism of Tangshen Formula in the Treatment of Diabetic Nephropathy.

This study investigated the mechanism of TSF in treating DN through network pharmacology, molecular docking, and experimental validation. To identify critical active ingredients, targets, and DN genes in TSF, multiple databases were utilized for screening purposes. The drug-compound-target network was constructed using Cytoscape 3.9.1 software for network topological analysis. The protein interaction relationship was analyzed using the String database platform. Metascape database conducted enrichment analysis on the key targets using Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. The renoprotective effect was evaluated using a mouse model of diabetic nephropathy (db/db mice) that occurred spontaneously. Validation of the associated targets and pathways was performed using Western Blot (WB), Polymerase Chain Reaction (PCR), and Immunohistochemical methods (IHC). The network analysis showed that the TSF pathway network targeted 24 important targets and 149 significant pathways. TSF might have an impact by focusing on essential objectives such as TP53, PTEN, AKT1, BCL2, BCL2L1, PINK-1, PARKIN, LC3B, and NFE2L2, along with various growth-inducing routes. Our findings demonstrated that TSF effectively repaired the structure of mitochondria in db/db mice. TSF greatly enhanced the mRNA levels of PINK-1. WB and IHC findings indicated that TSF had a notable impact on activating the PINK-1/PARKIN signaling pathway in db/db mice, significantly increasing LC3 and NRF2 expression. Our results indicate that TSF effectively addresses DN by activating the PINK-1/PARKIN signaling pathway and enhancing Mitochondrion structure in experimental diabetic nephropathy.

The potential mechanism of Aidi injection against neuroblastoma-an investigation based on network pharmacology analysis.

Background: Aidi injection, a classic traditional Chinese medicine (TCM) formula, has been used on a broader scale in treating a variety of cancers. In this study, we aimed to explore the potential anti-tumor effects of Aidi injection in the treatment of neuroblastoma (NB) using network pharmacology (NP). Methods: To elucidate the anti-NB mechanism of Aidi injection, an NP-based approach and molecular docking validation were employed. The compounds and target genes were collected from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine (BATMAN-TCM) database. The protein-protein interaction network was constructed using the STRING database. clusterProfiler (R package) was utilized to annotate the bioinformatics of hub target genes. The gene survival analysis was performed on R2, a web-based genomic analysis application. iGEMDOCK was used for molecular docking validation, and GROMACS was utilized to validate molecular docking results. Furthermore, we investigated the anticancer effects of gomisin B and ginsenoside Rh2 on human NB cells using a cell viability assay. The Western blot assay was used to validate the protein levels of target genes in gomisin B- and ginsenoside Rh2-treated NB cells. Results: A total of 2 critical compounds with 16 hub target genes were identified for treating NB. All 16 hub genes could potentially influence the survival of NB patients. The top three genes (EGFR, ESR1, and MAPK1) were considered the central hub genes from the drug-compound-hub target gene-pathway network. The endocrine resistance and estrogen signaling pathways were identified as the therapeutic pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Gomisin B and ginsenoside Rh2 showed a good binding ability to the target protein in molecular docking. The results of cell experiments showed the anti-NB effect of gomisin B and ginsenoside Rh2. In addition, the administration of gomisin B over-regulated the expression of ESR1 protein in MYCN-amplified NB cells. Conclusion: In the present study, we investigated the potential pharmacological mechanisms of Aidi against NB and revealed the anti-NB effect of gomisin B, providing clinical evidence of Aidi in treating NB and establishing baselines for further research.

Unifying Theory and Experiments: Multi-Target Pharmacology of Dajihan Pill Against Hyperlipidemia

Background: The increasing incidence of hyperlipidemia (HLP) is attributed to the imbalance in redox homeostasis, aberrant lipid metabolism, and the excessive intake of empty calories. Dajihan Pill (DJHP) is a Traditional Chinese Medicine (TCM) formula composed of Zingiberis Rhizoma (ZR), Piperis Longi Fructus (PLF), Alpiniae Officinarum Rhizome (AOR), and Cinnamomi Cortex (CC) in a ratio of 3:2:3:2. It exhibits a significant preventive effect on HLP. Certainly, the active components and the precise mechanism of action are not fully understood. Therefore, this study aims to elucidate the preventive and ameliorative mechanisms of DJHP against HLP by integrating network pharmacology, molecular docking, and experimental validation. Method: Based on the pharmacological method, active ingredients in DJHP and targets were extracted from Traditional Chinese Medicine System Pharmacology (TCMSP) and UniProt. Then core compounds and targets were obtained by constructing “compounds-targets-disease” and proteinprotein interaction (PPI) network. Gene Ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) were employed to elucidate further the associated action mechanism. The molecular binding mechanisms between the core ingredients and targets were elucidated through molecular docking. Additionally, the antioxidant capacities of DJHP extracts were investigated by assessing their DPPH, hydroxyl, and ABTS radical scavenging activities. Results: A total of 45 active compounds and 258 targets were identified in DJHP. Network analysis indicated that quercetin, beta-sitosterol, kaempferol, and oleic acid might serve as core bioactive compounds. Seven core targets, including AKT1, INS, and TNF, were identified as potential preventive targets. GO analysis suggested the improvement of HLP by DJHP may be related to the lipid metabolic process, high-density lipoprotein particle, triglyceride binding, and inflammatory response. The KEGG analysis indicated TNF, HIF-1, and AMPK signaling pathways were involved. The observations of active compounds binding with core targets indicated an excellent combination. Additionally, antioxidant results showed that DJHP exhibited significant DPPH, hydroxyl, and ABTS radical scavenging activities. Conclusion: Theoretical and experimental investigations indicate that DJHP can effectively modulate various signaling pathways and enhance the redox system, thus mitigating HLP. Our work provided a basis for the pharmacological study of DJHP in preventing HLP and further research.

Effects and mechanisms of Zhizi Chuanxiong herb pair against atherosclerosis: an integration of network pharmacology, molecular docking, and experimental validation

BackgroundThe Zhizi Chuanxiong herb pair (ZCHP) can delay pathological progression of atherosclerosis (AS); however, its pharmacological mechanism remains unclear because of its complex components. The purpose of current study is to systematically investigate the anti-AS mechanism of ZCHP.MethodsThe databases of TCMSP, STITCH, SwissTargetPrediction, BATMAN-TCM, and ETCM were searched to predict the potential targets of ZCHP components. Disease targets associated with AS was retrieved from the GEO database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analyses were executed using DAVID 6.8. Molecular docking method was employed to evaluate the core target binding to blood components, and animal experiments were performed to test action mechanism.ResultsA ZCHP-components-targets-AS network was constructed by using Cytoscape, included 11 main components and 52 candidate targets. Crucial genes were shown in the protein–protein interaction network, including TNF, IL-1β, IGF1, MMP9, COL1A1, CCR5, HMOX1, PTGS1, SELE, and SYK. KEGG enrichment illustrated that the NF-κB, Fc epsilon RI, and TNF signaling pathways were important for AS treatment. These results were validated by molecular docking. In ApoE−/− mice, ZCHP significantly reduced intima-media thickness, pulse wave velocity, plaque area, and serum lipid levels while increasing the difference between the end-diastolic and end-systolic diameters. Furthermore, ZCHP significantly decreased the mRNA and protein levels of TNF-α and IL-1β, suppressed NF-κB activation, and inhibited the M1 macrophage polarization marker CD86 in ApoE−/− mice.ConclusionThis study combining network pharmacology, molecular biology, and animal experiments showed that ZCHP can alleviate AS by suppressing the TNF/NF-κB axis and M1 macrophage polarization.Graphical

Biochanin A abrogates osteoclastogenesis in type 2 diabetic osteoporosis via regulating ROS/MAPK signaling pathway based on integrating molecular docking and experimental validation

BackgroundThere are accumulating type 2 diabetes patients who have osteoporosis simultaneously. More effective therapeutic strategies should be discovered. Biochanin A (BCA) has been indicated that can play a role in improving metabolic disorders of type 2 diabetes and preventing osteoporosis. But whether BCA can treat type 2 diabetic osteoporosis has not been studied.PurposeTo investigate if the BCA can protect against type 2 diabetic osteoporosis and clarify the mechanism.MethodsMicro-CT and histology assays were performed to detect the trabecular bone and analyze the bone histomorphology effect of BCA. CCK-8 assay was performed to detect the toxicity of BCA. TRAcP staining, immunofluorescence and hydroxyapatite resorption assay were used to observe osteoclasts differentiation and resorptive activity. Molecular docking provided evidence about BCA regulating the MAPK axis via prediction by the algorithm. QRT-PCR and Western Blotting were utilized to detect the expression of osteoclastogenesis-related markers and MAPK signaling pathway.ResultsAccumulation of bone volume after BCA treatment could be found based on the 3D reconstruction. Besides, there were fewer osteoclasts in db/db mice treated with BCA than db/db mice treated with saline. In vitro, we found that BCA hadn’t toxicity in osteoclasts precursor, but also inhibited differentiation of osteoclasts. Further, we found that BCA suppresses osteoclastogenesis via ROS/MAPK signaling pathway.ConclusionBCA can prevent type 2 diabetic osteoporosis by restricting osteoclast differentiation via ROS/MAPK signaling pathway.

Utilizing molecular docking and cell validation to explore the potential mechanisms of lupenone attenuating the inflammatory response via NF‐κB pathway

Diabetic nephropathy (DN), a common microvascular complicating disease of diabetes. Lupenone, a pentacyclic triterpenoid, has anti-inflammatory effects and can prevent type 2 diabetes mellitus and treat renal damage, however, the effects and mechanisms of lupenone in DN remain unclear. Thereby,the MTT method was used to investigate the antiproliferative effect of lupenoneon the cell line rat glomerular mesangial cells (HBZY-1). Molecular docking was used to investigate the combination of lupenone and MCP-1, IL-1β, TNF-α, IKKβ, IκBα, and NF-κB p65 proteins. The expression of mRNA of the pro-inflammatory cytokines (MCP-1, IL-1β and TNF-α) and the NF-κB signalling pathway in HBZY-1 cells were assessed by RT-PCR. The protein expressions of pro-inflammatory cytokines and NF-κB pathway were got by Western blot. Result showed that lupenone inhibited the proliferative activity of HBZY-1 cells at non-cytotoxic concentrations. Molecular docking results showed that lupenone combined well with the target proteins. Moreover, lupenone could significantly reduced the mRNA and protein expressions for pro-inflammatory cytokines and IKKβ, p-p65 and p-IκBα. Lupenone may play an anti-inflammatory role in DN treatment by inhibiting the NF-κB signalling pathway. These results provided a new understanding of the pharmacological mechanisms of lupenone in treatment of DN.

Sargent Gloryvine Extract Modulates Nuclear Factor κκB Signaling Pathway to Improve Severe Pancreatitis

This study explored the mechanism of action of Sargent gloryvine extract in treating severe pancreatitis. We used the PubChem and SwissTargetPredicton databases to predict the potential targets. The database for Annotation, Visualization, and Integrated Discovery was used to perform Gene Ontology. The Kyoto Encyclopedia of Genes was used to perform Genomes enrichment analyses. These analyses, visualized via Cytoscape software followed by molecular docking validation, identified Salidroside, Lignans, Emodin, and Physcion as key active compounds in the extract. The protein-protein interaction network analysis highlighted tumor necrosis factor, interleukin-6, and nuclear factor κB as critical targets with 42 signaling pathways identified as relevant. The nuclear factor κB pathway emerged as especially significant in the extract's effect on severe pancreatitis. Enrichment analysis screened 42 related signaling pathways, among which the nuclear factor κB pathway may play a vital role in treating severe pancreatitis with Sargent gloryvine extract. The molecular docking results indicated an excellent binding activity between Sargent gloryvine extract and nuclear factor κB. In conclusion, the therapeutic approach of Sargent gloryvine extract in severe pancreatitis involves a complex interaction of multiple components, targets, and pathways, with a potential mechanism linked to the downregulation of the nuclear factor κB signaling pathway.

Therapeutic Effects of Qingchang Tongluo Decoction on Intestinal Fibrosis in Crohn's Disease: Network Pharmacology, Molecular Docking and Experiment Validation.

Qingchang Tongluo Decoction (QTF) is clinically used for the treatment of intestinal fibrosis in Crohn's Disease (CD). However, the role of QTF in CD-associated fibrosis and its potential pharmacological mechanism remains unclear. The objective of this study was to elucidate the potential mechanism of QTF in treating CD-associated fibrosis, employing a combination of bioinformatics approaches - encompassing network pharmacology and molecular docking - complemented by experimental validation. To investigate the material basis and potential protective mechanism of QTF, a network pharmacology analysis was conducted. The core components and targets of QTF underwent molecular docking analysis to corroborate the findings obtained from network pharmacology. In vitro, a colon fibrotic model was established by stimulating IEC-6 cells with 10 ng/mL of transforming growth factor(TGF-β1). In vivo, an intestinal fibrosis model was induced in BALB/c mice by TNBS. The role of QTF in inhibiting the TGF-β1/Smad signaling pathway was investigated through RT-qPCR, Western blotting, immunohistochemistry staining, and immunofluorescence staining. Network pharmacology analysis revealed that QTF could exert its protective effect. Bioinformatics analysis suggested that Flavone and Isoflavone might be the key components of the study. Additionally, AKT1, IL-6, TNF, and VEGFA were identified as potential therapeutic targets. Furthermore, experimental validation and molecular docking were employed to corroborate the results obtained from network pharmacology. RT-qPCR, Immunofluorescence, and Western blotting results demonstrated that QTF significantly improved colon function and inhibited pathological intestinal fibrosis in vivo and in vitro. Through the application of network pharmacology, molecular docking, and experimental validation, QTF could be confirmed to inhibit the proliferation of intestinal fibroblasts associated with CD and reduce the expression of Collagen I and VEGFA. This effect is achieved through the attenuation of ECM accumulation, primarily via the inhibition of the TGF-β1/Smad signaling pathway.

Integrating Network Pharmacology, Molecular Docking and Experimental Validation to Explore the Pharmacological Mechanisms of Quercetin Against Diabetic Wound.

The chronic non-healing diabetic wound (DW) has remained a challenge to both the society and individuals. Previous studies suggested dietary moderate consumption of quercetin (QCT) are beneficial in preventing diabetic complications, including non-healing DW. However, there were few studies that have investigated QCT-related underlying molecular mechanisms against DW. In the present study, we for the first-time combined network pharmacology with molecular docking and experimental validation to investigate QCT-related therapeutic targets and mechanisms for treating DW. Finally, 191 QCT-related targets and 1750 DW-related pathogenetic targets were obtained from online databases. After removing duplicates, a total of 90 potential therapeutic targets of quercetin for treating DW were ultimately identified. Furthermore, 7 targets with higher degree including IL-6, EGFR, SRC, TNF, AKT1, JUN and MMP9 were predicted as central therapeutic targets of QCT for treating DW. Functional enrichment analysis demonstrated that QCT exerted strong levels of multitargeting regulatory activity. In addition, the KEGG enrichment analysis indicated that several signaling pathways including AGE-RAGE signaling pathway in diabetic complications, IL-17, PI3k-AKT, TNF, HIF-1, VEGF were predicted as key regulators of QCT for treating DW. Molecular docking results suggested that QCT had strong binding activity with the predicted targets. In addition, verification experiments suggested that QCT could significantly attenuated the expression of inflammatory cytokines and the regulation of PI3K-AKT signaling pathway was probably a vital mechanism involved in the pharmacological mechanism of QCT for treating DW. Taken together, combined network pharmacological with experimental validation, we for the first time systematically investigated associated-therapeutic targets and potential pathways of QCT for DW treatment. Our study might provide theoretical basis for DW treatment.

Investigating the molecular mechanism of Chelidonii Herba against liver cancer using network pharmacology and molecular docking validation

Investigating the molecular mechanism of Chelidonii Herba against liver cancer using network pharmacology and molecular docking validation

Exploring the molecular mechanism of Solanum nigrum L in breast cancer treatment through network pharmacology and molecular docking validation

Exploring the molecular mechanism of Solanum nigrum L in breast cancer treatment through network pharmacology and molecular docking validation

Study on the mechanism of SND in the treatment of anxiety disorders based on network pharmacology, molecular docking and experiment validation

Study on the mechanism of SND in the treatment of anxiety disorders based on network pharmacology, molecular docking and experiment validation

Exploring the HIF-1α signalling pathway and the mechanism of YiQiHuoXue decoction against Precancerous Lesions of Gastric Cancer based on Network Pharmacology and Molecular Docking.

Precancerous Lesions of Gastric Cancer (PLGC) are an essential step in the advancement of Gastric cancer (GC). Early intervention represents the most effective strategy to impede the development of PLGC. However, additional research is necessary to comprehend the molecular mechanism of PLGC. YQHXD is originated from Si Wu Decoction, has been utilized as an empirical formula for the treatment of PLGC for several years. In this study, we employed network pharmacology, molecular docking, and experimental validation to examine the inhibitory and ameliorative properties of YQHXD on PLGC. Multiple databases were utilized to gather genetic information on drugs in PLGC and YQHXD, in order to obtain cross-targets. We discovered 142 common targets between YQHXD and PLGC. GO and KEGG enrichment analyses indicate that YQHXD treatment of PLGC might be linked with cellular response to oxygen levels and the HIF-1α signaling pathway. Finally, we performed in vitro experiments, of which the results reveal that YQHXD mitigates gastric mucosal atrophy, intestinalization, and heterogeneous hyperplasia, and reduces the expression of inflammatory factors in rats. Therefore, we considered that YQHXD has the potential to delay the PLGC process by inhibiting the HIF-1α signaling pathway.

Exploration of Dan-Shen-Yin against pancreatic cancer based on network pharmacology combined with molecular docking and experimental validation

Traditional Chinese Medicine (TCM) introduces a potentially effective strategy in the realm of cancer therapy, whereas network pharmacology provides a reliable mechanism for clarifying the complex interplay between active constituents and their corresponding targets. Although Dan-Shen-Yin (DSY) has demonstrated remarkable efficacy in the treatment of various diseases, its potential anti-pancreatic cancer effects and underlying mechanisms remain unexplored. The present study aims to validate the anti-pancreatic cancer efficacy of DSY both in vivo and in vitro, while also elucidating its mechanism through a combination of network pharmacology, molecular docking, and related experiments. The in vivo effectiveness of DSY was validated using the patient-derived xenograft (PDX) model, which was chosen due to its remarkable capacity to maintain the essential histological and genetic attributes of the primary tumor. Network pharmacology predicted the anti-pancreatic cancer efficacy of DSY, which was confirmed by in vitro experiments showing inhibitory effects on proliferation, pro-apoptosis, migration, and colony formation of PC cells. Molecular docking studies further confirmed that the active components of DSY exhibited good nucleophilicity for the selected target proteins through their ability to interact via hydrogen bonding and Van der Waals forces. The PDX model showed that DSY effectively inhibited tumor growth and improved prognosis. Experiments conducted both in vivo and in vitro have demonstrated that DSY is an effective treatment for PC. Moreover, mechanistic investigations have provided evidence of the ability to impede the EGFR/SRC/STAT3 signaling pathway.