Hub Targets Research Articles

Mechanistic exploration of bioactive constituents in Gnetum gnemon for GPCR-related cancer treatment through network pharmacology and molecular docking

G Protein-Coupled Receptors (GPCRs) are integral membrane proteins that have gained considerable attention as drug targets, particularly in cancer treatment. In this study, we explored the capacity of bioactive compounds derived from Gnetum gnemon (GG) for the development of of pharmaceuticals targeting GPCRs within the context of cancer therapy. Integrated approach combined network pharmacology and molecular docking to identify and validate the underlying pharmacological mechanisms. We retrieved targets for GG-derived compounds and GPCRs-related cancer from databases. Subsequently, we established a protein-protein interaction (PPI) network by mapping the shared targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to predict the mechanism of action of these targets. Molecular docking was conducted to validate our findings. We identified a total of 265 targets associated with GG-derived bioactive compounds for the treatment of GPCRs-related cancer. Functional enrichment analysis revealed the promising therapeutic effects of these targets on GPCRs-related cancer pathways. The PPI network analysis identified hub targets, including MAPK3, SRC, EGFR, STAT3, ESR1, MTOR, CCND1, and PPARG, which demonstrate as treatment targets for GPCRs-related cancer using GG-derived compounds. Additionally, molecular docking experiments demonstrated the strong binding affinity of gnetin A, gnetin C, (-)-viniferin, and resveratrol dimer, thus inhibiting MAPK3, SRC, EGFR, and MTOR. Survival analysis established the clinical prognostic relevance of identified hub genes in cancer. This study presents a novel approach for comprehending the therapeutic mechanisms of GG-derived active compounds and thereby paving the way for their prospective clinical applications in the field of cancer treatment.

Insights into the Therapeutic Potential of Active Ingredients of Citri Reticulatae Pericarpium in Combatting Sarcopenia: An In Silico Approach

Sarcopenia is a systemic medical disorder characterized by a gradual decline in muscular strength, function, and skeletal muscle mass. Currently, there is no medication specifically approved for the treatment of this condition. Therefore, the identification of new pharmacological targets may offer opportunities for the development of novel therapeutic strategies. The current in silico study investigated the active ingredients and the mode of action of Citri Reticulatae Pericarpium (CRP) in addressing sarcopenia. The active ingredients of CRP and the potential targets of CRP and sarcopenia were determined using various databases. The STRING platform was utilized to construct a protein–protein interaction network, and the key intersecting targets were enriched through the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Molecular docking was used to determine the binding interactions of the active ingredients with the hub targets. The binding affinities obtained from molecular docking were subsequently validated through molecular dynamics simulation analyses. Five active ingredients and 45 key intersecting targets between CRP and sarcopenia were identified. AKT1, IL6, TP53, MMP9, ESR1, NFKB1, MTOR, IGF1R, ALB, and NFE2L2 were identified as the hub targets with the highest degree node in the protein–protein interaction network. The results indicated that the targets were mainly enriched in PIK3-AKT, HIF-1, and longevity-regulating pathways. The active ingredients showed a greater interaction affinity with the hub targets, as indicated by the results of molecular docking and molecular dynamics simulations. Our findings suggest that the active ingredients of Citri Reticulatae Pericarpium, particularly Sitosterol and Hesperetin, have the potential to improve sarcopenia by interacting with AKT1 and MTOR proteins through the PI3K-AKT signaling pathway.

Blestriarene C exerts an inhibitory effect on triple-negative breast cancer through multiple signaling pathways

IntroductionBreast cancer is the most common cancer worldwide, the leading cause of cancer death in women, and the fifth leading cause of cancer death. Triple negative breast cancer (TNBC), with high metastasis and mortality rates, is the most challenging subtype in breast cancer treatment. There is an urgent need to develop anti-TNBC drugs with significant efficacy, low side effects and good availability. In early drug screening, blestriarene C was found to have inhibitory effects on TNBC cells. In this article, we further explore the mechanisms associated with blestriarene C for breast cancer.MethodsIn this article, we take the approach of network pharmacology combined with in vivo and in vitro experiments. Network pharmacology analysis was used to predict the active components in Baiji, and to investigate the hub targets and related mechanisms of BC in TNBC treatment. The mechanism of anti-TNBC in vitro was evaluated by CCK-8 assay, cell apoptosis and cell cycle assays, wound healing assay, WB assay, and molecular docking analysis. The inhibition effect in vivo was test in subcutaneous tumor models established in mice.ResultsThrough network pharmacology analysis and experiments, we screened out BC as the main active ingredient, and found that BC could inhibit the Ras/ERK/c-Fos signaling pathway while downregulating the expression of HSP90AA1 and upregulating the expression of PTGS2, thereby promoting apoptosis, causing S-phase cycle arrest, and inhibiting the proliferation and migration of BT549 cells. The in vivo results illustrated that BC inhibited the growth of TNBC tumors and has a high safety profile. By integrating network pharmacology with in vitro and in vivo experiments, this study demonstrated that BC inhibited the proliferation and migration of TNBC cells by inhibiting the Ras/ERK/c-Fos signaling pathway, promoting apoptosis, and causing S-phase cycle arrest.DiscussionThis study provides new evidence for the use of BC as a novel drug for TNBC treatment.

Integrated metabolomics and network pharmacology to reveal the mechanisms of Shexiang Baoxin pill against atherosclerosis

BackgroundAtherosclerosis is a disease marked by the development of lipid lesions within the endothelium and continues to be a prominent contributor to global mortality. Shexiang Baoxin pill (SBP) has been employed in the management of numerous cardiovascular diseases, but the complex mechanisms by which it operates remain obscure. This research was conducted to determine the potential impact of SBP on atherosclerosis and the underlying regulatory mechanism involved. MethodNetwork pharmacology was utilized to predict the key drug-disease targets, and a nontargeted metabolomic assay was applied to identify the key metabolites and metabolic pathways. A mouse atherosclerosis model was constructed to clarify the protective effect of SBP on atherosclerosis, and in vivo and in vitro tests were performed to verify the analysis results and clarify the mechanism through which SBP affects atherosclerosis. ResultsThe results show that SBP can exert a protective effect in vivo by decreasing lipid levels, plaque formation and endothelial damage. Network pharmacology and metabolomics revealed that MAPK3, AKT1 and STAT3 were the hub targets and that trimethylamine n-oxide (TMAO) was the pivotal metabolite. Due to the atherogenic effect of TMAO, the corresponding protective effect of SBP was investigated in vitro. SBP inhibited TMAO-induced endothelial cell apoptosis and oxidative stress and counteracted the upregulation of MAPK3, AKT1, and STAT3 expression. Molecular docking and enzymatic inhibition suggested that the active components of SBP could bind stably to key target proteins. ConclusionTaken together, based on the integrated metabolomics and network pharmacology, our findings suggest that SBP may be implicated in TMAO-induced atherosclerosis by affecting endothelial function and bile acid synthesis. We observed that SBP may ameliorate atherosclerosis by regulating TMAO levels through multiple pathways, which may provide a novel direction and insight for SBP involved in cardiovascular protection by mediating the gut-heart axis.

Jun modulates endoplasmic reticulum stress-associated ferroptosis in dorsal root ganglia neurons during neuropathic pain by regulating Timp1

Neuropathic pain (NP) is a complex disorder caused by lesions or diseases affecting the somatosensory nervous system, severely impacting patients' quality of life. Recent studies suggest ferroptosis may be involved in NP induction, but its precise mechanisms remain unclear. We used GO and KEGG pathway enrichment analyses to functionally annotate ferroptosis-related differentially expressed genes (FRDs). Through STRING and the maximum cluster centrality (MCC) algorithm, we identified five hub FRDs (Jun, Timp1, Egfr, Cdkn1a, Cdkn2a). Single-cell analysis revealed significant expression of Jun and Timp1 in neurons. Our study confirmed the association between ferroptosis and endoplasmic reticulum stress (ERS) in NP and validated changes in hub FRD expression across various NP animal models. In vitro experiments demonstrated that Jun regulates neuronal ferroptosis and ERS, particularly by modulating Timp1 expression. Transcription factor prediction and JASPAR binding site analysis elucidated the regulatory network involving Jun. ROC curve analysis of external datasets highlighted the diagnostic potential of hub FRDs and ERS-related differentially expressed genes (ERSRDs) in NP. Using the Comparative Toxicogenomics Database (CTD), we identified estradiol (E2) as a potential therapeutic drug targeting hub FRDs and ERSRDs. Molecular docking predicted its binding sites with Jun and Timp1, and in vivo experiments confirmed that E2 alleviated NP and reversed the expression of Jun and Timp1. This study underscores the crucial role of Jun and Timp1 in the interplay between ferroptosis and ERS, offering new insights and promising avenues for NP treatment.

Integrative Multi-Omics and Network Pharmacology Reveal the Mechanisms of Fangji Huangqi Decoction in Treating IgA Nephropathy

Ethnopharmacological relevanceFangji Huangqi Decoction (FJHQD), a classical Chinese herbal formulation, has demonstrated significant clinical efficacy in the treatment of IgA nephropathy (IgAN), although its mechanisms remain poorly understood. Aim of the studyThis study aims to investigate the renal protective mechanisms of FJHQD using an integrated approach that combines transcriptomics, proteomics, and network pharmacology. MethodsRenal glomerular structure changes were assessed via hematoxylin and eosin (H&E) and Masson staining. IgA expression in the glomeruli was quantified using immunofluorescence. Furthermore, the potential mechanisms underlying the effects of FJHQD were explored through a combined strategy of network pharmacology, transcriptomics, and proteomics. The expression of signaling pathway-related proteins was detected using Western blot. ResultsFJHQD inhibited mesangial cell proliferation and renal interstitial fibrosis, and significantly reduced excessive IgA deposition in the glomerular mesangium. Network pharmacology identified 113 important active components and 8 common active components in FJHQD, with quercetin, isorhamnetin, jaranol, and kaempferol having the highest number of target interactions. Integration of network pharmacology with multi-omics approaches revealed that 44 active components regulated numerous immune and inflammatory signaling pathways through 17 hub targets. These pathways include the Calcium signaling pathway, cAMP signaling pathway, Ras signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway. Subsequent in vivo experiments demonstrated that FJHQD effectively regulates the identified pathways in IgAN mice. Ultimately, molecular docking results further validated the reliability of the network pharmacology combined with multi-omics analyses. ConclusionThe findings suggest that FJHQD exerts a renal protective effect, potentially through modulation of the Calcium signaling pathway, cAMP signaling pathway, Ras signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway. These insights offer valuable support for the clinical use of FJHQD and open new avenues for exploring the active compounds and molecular mechanisms of Traditional Chinese Medicines (TCMs).

Decoding the mechanism of Qingjie formula in the prevention of COVID-19 based on network pharmacology and molecular docking

Traditional Chinese medicine (TCM) has played a positive role in preventing and controlling the coronavirus disease 2019 (COVID-19) epidemic. Qingjie formula (QJF) developed to prevent COVID-19 is widely used in Wenzhou, Zhejiang province, China. However, the biological active ingredients of QJF and their specific mechanisms for preventing COVID-19 remain unclear. The study focused on exploring the pharmacological mechanism of QJF for the prevention of COVID-19 based on network pharmacology and molecular docking. The active ingredients of QJF were screened by TCMSP database. Databases such as Genecards and Swiss Target Prediction predicted potential targets of QJF against COVID-19. The “drug-active ingredient-potential target” network was constructed by Cytoscape software. We used STRING database to construct the protein-protein interaction (PPI) network. Enrichment of biological functions and signaling pathways were analyzed by using the DAVID database and R language. Then AutoDock Vina and Python software were used for molecular docking of hub targets and active ingredients. 147 active ingredients interacted with 316 potential targets of COVID-19. A PPI network consisting of 30 hub genes was constructed, and the top 10 hub genes were ALB, AKT1, TP53, TNF, IL6, VEGFA, IL1B, CASP3, JUN and STAT3. The results of GO analysis showed that these targets were mainly enriched in cell responses to oxidative stress, chemical stress, and other functions. KEGG analysis revealed that viral protein interactions with cytokines (e.g., human cytomegalovirus infection), endocrine resistance pathways (e.g., AGE-RAGE signaling pathway), PI3K-Akt signaling pathway, and lipid and atherosclerosis signaling pathway were the major signaling pathways. Moreover, the core active ingredients of QJF had good binding affinity with hub genes by molecular docking. QJF plays an important role in the prevention of COVID-19 by regulating host immune inflammatory response and oxidative stress response, inhibiting virus, improving immune function, regulating the hypoxia-cytokine storm, and inhibiting cell migration.

Ammopiptanthus nanus (M. Pop. ) Cheng f. stem ethanolic extract ameliorates rheumatoid arthritis by inhibiting PI3K/AKT/NF-κB pathway-mediated macrophage infiltration

Ethnopharmacological RelevanceAmmopiptanthus nanus (M. Pop. ) Cheng f. (A. nanus), a traditional Kirgiz medicinal plant, its stem has shown potential in treating rheumatoid arthritis (RA) in China, either through oral medication or by topical application directly to the affected joints, but its underlying mechanism of action remains unexplored. Aim of the studyThe purpose of this study is to elucidate pharmacological mechanism of A. nanus in ameliorating RA using a comprehensive approach that combines network pharmacology, molecular docking and experimental evaluations. Materials and MethodsFirstly, the major constituents of A. nanus stem ethanolic extract were identified and quantified by High-Performance Liquid Chromatography (HPLC). Disease target data from Gene Cards database was then used to define RA-associated targets. A protein-protein interaction (PPI) network was created via STRING database. The DAVID database powered gene ontology (GO) function and kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis to gain functional insights. In vitro, RAW264.7 cells were treated with A. nanus to investigate the roles of target proteins and pathways during lipopolysaccharide (LPS) - induced inflammation. Immunofluorescence assays were performed to assess the effects of A. nanus on macrophage infiltration. The key targets and signalling pathways were validated using enzyme-linked immunosorbent assay (ELISA), real-time quantitative polymerase chain reaction (RT-qPCR), molecular docking, immunohistochemical analysis, western blotting and immunofluorescence. Finally, the therapeutic potential of A. nanus in RA was evaluated in a carrageenan-induced rat model. ResultsNetwork analysis identified 31 potential targets of A. nanus associated with RA, including 10 hub targets. KEGG analysis highlighted the involvement of PI3K/AKT signaling pathway. In vivo experiments demonstrated that A. nanus treatment significantly protected against carrageenan-induced inflammatory paw tissue and attenuated macrophage infiltration. Both in vivo and in vitro experiments confirmed that A. nanus significantly downregulated the protein expression of COX-2, iNOS and IL-1β, and inhibited PI3K/AKT/NFκB pathway, which are closely linked to RA. Furthermore, molecular docking and cellular thermal shift assay revealed that licoflavanone showed a strong binding affinity with key targets. ConclusionIn summary, this study provides the first evidence of the potent anti-inflammatory activity of A. nanus in experimental RA. The mechanism of action appears to involve inactivation of the PI3K/AKT/NF-κB pathway-mediated macrophage infiltration. These findings indicate that A. nanus has significant potential as a therapeutic potential agent for RA treatment and offer novel insights for future research and drug development in this field.

Network Pharmacology Integrated With Quantum‐Polarized Ligand Docking and Molecular Simulation Revealed the Anti‐Diabetic Potential of Curcumin

AbstractDiabetes mellitus is a chronic metabolic disorder affecting millions of people worldwide and causes serious complications such as diabetic nephropathy. Curcumin, a natural polyphenol derived from turmeric, has demonstrated antidiabetic, anti‐inflammatory, and antioxidant properties. However, the molecular mechanisms underlying curcumin's anti‐diabetic effects remain incompletely understood. This study employed network pharmacology, molecular docking, and simulation techniques to explore the potential targets, and key pathways of curcumin in the treatment of diabetes. Using SwissTarget prediction and Superpred databases, we predicted the molecular targets for curcumin, while diabetes‐associated genes were obtained from DisGeNet. We identified 60 common targets for curcumin in diabetes. Protein‐protein interaction (PPI) analysis revealed three sub‐networks and ten hub genes with AKT1, TNF‐α, EGFR, and STAT3 identified as key hub genes that could serve as potential biomarkers. Gene enrichment analysis indicated that these genes primarily regulate insulin resistance and other metabolic pathways. Quantum‐polarized ligand docking (QPLD) showed that curcumin establishes multiple hydrogen and hydrophobic interactions with the essential amino acids of these hub targets. Molecular simulation results demonstrated stable dynamic behavior, a compact structure, and variations in residue flexibility. Binding free energy calculations using MM/GBSA and MM/PBSA methods validate curcumin's strong binding to the potential targets. Total binding free energy using MM/GBSA ranged from −21.35 to −30.94 kcal/mol while MM/PBSA calculations showed total binding free energy values between −19.80 and −26.66 kcal/mol. Altogether, this study provides valuable insights into the molecular targets of curcumin in diabetes and lays the foundation for future advancements in diabetes treatment.

Molecular mechanism of Dang-Shen-Yu-Xing decoction against Mycoplasma bovis pneumonia based on network pharmacology, molecular docking, molecular dynamics simulations and experimental verification.

Mycoplasma bovis pneumonia is a highly contagious respiratory infection caused by Mycoplasma bovis. It is particularly prevalent in calves, posing a significant threat to animal health and leading to substantial economic losses. Dang-Shen-Yu-Xing decoction is often used to treat this condition in veterinary clinics. It exhibits robust anti-inflammatory effects and can alleviate pulmonary fibrosis. However, its mechanism of action remains unclear. Therefore, this study aimed to preliminarily explore the molecular mechanism of Dang-Shen-Yu-Xing decoction for treating mycoplasma pneumonia in calves through a combination of network pharmacology, molecular docking, molecular dynamics simulation methods, and experimental validation. The active components and related targets of Dang-Shen-Yu-Xing decoction were extracted from several public databases. Additionally, complex interactions between drugs and targets were explored through network topology, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Subsequently, the binding affinity of drug to disease-related targets was verified through molecular docking and molecular dynamics simulation. Finally, the pharmacodynamics were verified via animal experiments. The primary network topology analysis revealed two core targets and 10 key active components of Dang-Shen-Yu-Xing decoction against Mycoplasma bovis pneumonia. Kyoto Encyclopedia of Genes and Genomes enrichment analysis showed that the mechanism of Dang-Shen-Yu-Xing decoction for treating mycoplasma bovis pneumonia involved multiple signaling pathways, with the main pathways including PI3K-Akt and IL17 signaling pathways. Moreover, molecular docking predicted the binding affinity and conformation of the core targets of Dang-Shen-Yu-Xing decoction, IL6, and IL10, with the associated main active ingredients. The results showed a strong binding of the active ingredients to the hub target. Further, molecular docking dynamics simulation revealed three key active components of IL10 induced by Dang-Shen-Yu-Xing decoction against Mycoplasma bovis pneumonia. Finally, animal experiments confirmed Dang-Shen-Yu-Xing decoction pharmacodynamics, suggesting that it holds potential as an alternative therapy for treating mycoplasma bovis pneumonia.

The improvement of modified Si-Miao granule on hepatic insulin resistance and glycogen synthesis in type 2 diabetes mellitus involves the inhibition of TNF-α/JNK1/IRS-2 pathway: network pharmacology, molecular docking, and experimental validation

BackgroundModified Si-Miao granule (mSMG), a traditional Chinese medicine, is beneficial for T2DM and insulin resistance (IR), but the underlying mechanism remains unknown.MethodsUsing network pharmacology, we screened the compounds of mSMG and identified its targets and pathway on hepatic IR in T2DM. Using molecular docking, we identified the affinity between the compounds and hub target TNF-α. Then these were verified in KK-Ay mice and HepG2 cells.Results50 compounds and 170 targets of mSMG against IR in T2DM were screened, and 9 hub targets such as TNF and MAPK8 were identified. 170 targets were mainly enriched in insulin resistance and TNF pathway, so we speculated that mSMG might act on TNF-α, JNK1 and then regulate insulin signaling to mitigate IR. Experimental validation proved that mSMG ameliorated hyperglycemia, IR, and TNF-α, enhanced glucose consumption and glycogen synthesis, relieved the phosphorylation of JNK1 and IRS-2 (Ser388), and elevated the phosphorylation of Akt (Ser473) and GSK-3β (Ser9) and GLUT2 expression in KK-Ay mice. Molecular docking further showed berberine from mSMG had excellent binding capacity with TNF-α. Then, in vitro validation experiments, we found that 20% mSMG-MS or 50 μM berberine had little effect in IR-HepG2 cell viability, but significantly increased glucose consumption and glycogen synthesis and regulated TNF-α/JNK1/IRS-2 pathway.ConclusionNetwork pharmacology and molecular docking help us predict potential mechanism of mSMG and further guide experimental validation. mSMG and its representative compound berberine improve hepatic IR and glycogen synthesis, and its mechanism may be related to the inhibition of TNF-α/JNK1/IRS-2 pathway.

Identifying potential key ferroptosis-related genes and therapeutic drugs in sepsis-induced ARDS by bioinformatics and experimental verification.

Acute respiratory distress syndrome (ARDS) is a serious pathological process with high mortality. Ferroptosis is pivotal in sepsis, whose regulatory mechanisms in sepsis-induced ARDS remains unknown. We aimed to determine key ferroptosis-related genes in septic ARDS and investigate therapeutic traditional Chinese medicine (TCM). Sepsis-induced ARDS dataset obtained from Gene Expression Omnibus (GEO) was analyzed to identify ferroptosis-related differentially expressed genes (FRDEGs). Enrichment analysis and protein-protein interaction (PPI) network construction were performed to identify hub genes. Immune cells infiltration was analyzed and competitive endogenous RNA (ceRNA) network was constructed. The diagnostic value of hub genes in septic ARDS was analyzed and the occurrence of ferroptosis and the expression of hub genes were detected. TCM targeting hub genes was predicted via SymMap database and was verified. 16 FRDEGs were obtained, among which the top four genes (IL1B, TXN, MAPK3, HSPB1) were selected as hub genes, which may be potential diagnostic markers of septic ARDS. Immunoassay showed that sepsis-induced ARDS and hub genes were closely related to immune cells. The ceRNA network showed 26 microRNAs and 38 long noncoding RNA (lncRNAs). Ferroptosis occurred and the expressions of IL1B, MAPK3 and TXN were increased in septic ARDS mice and LPS-challenged human pulmonary alveolar epithelial cells (HPAEpiCs). Sea buckthorn alleviated septic lung injury and affected hub genes expression. Ferroptosis-related genes of IL1B, MAPK3 and TXN serve as potential diagnostic genes for sepsis-induced ARDS. Sea buckthorn may be therapeutic medication for ARDS. This study provides a new direction for septic ARDS treatment.

Analysis of gut microbiota-derived metabolites regulating pituitary neuroendocrine tumors through network pharmacology.

Pituitary neuroendocrine tumors (PitNETs) are a special class of tumors of the central nervous system that are closely related to metabolism, endocrine functions, and immunity. In this study, network pharmacology was used to explore the metabolites and pharmacological mechanisms of PitNET regulation by gut microbiota. The metabolites of the gut microbiota were obtained from the gutMGene database, and the targets related to the metabolites and PitNETs were determined using public databases. A total of 208 metabolites were mined from the gutMGene database; 1,192 metabolite targets were screened from the similarity ensemble approach database; and 2,303 PitNET-related targets were screened from the GeneCards database. From these, 392 overlapping targets were screened between the metabolite and PitNET-related targets, and the intersection between these overlapping and gutMGene database targets (223 targets) were obtained as the core targets (43 targets). Using the protein-protein interaction (PPI) network analysis, Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway and metabolic pathway analysis, CXCL8 was obtained as a hub target, tryptophan metabolism was found to be a key metabolic pathway, and IL-17 signaling was screened as the key KEGG signaling pathway. In addition, molecular docking analysis of the active metabolites and target were performed, and the results showed that baicalin, baicalein, and compound K had good binding activities with CXCL8. We also describe the potential mechanisms for treating PitNETs using the information on the microbiota (Bifidobacterium adolescentis), signaling pathway (IL-17), target (CXCL8), and metabolites (baicalin, baicalein, and compound K); we expect that these will provide a scientific basis for further study.

Luteolin protects against myocardial ischemia/reperfusion injury by reducing oxidative stress and apoptosis through the p53 pathway

ObjectiveMyocardial ischemia/reperfusion injury (MIRI) is an obstacle to the success of cardiac reperfusion therapy. This study explores whether luteolin can mitigate MIRI by regulating the p53 signaling pathway. MethodsModel mice were subjected to a temporary surgical ligation of the left anterior descending coronary artery, and administered luteolin. The myocardial infarct size, myocardial enzyme levels, and cardiac function were measured. Latent targets and signaling pathways were screened using network pharmacology and molecular docking. Then, proteins related to the p53 signaling pathway, apoptosis and oxidative stress were measured. Hypoxia/reoxygenation (HR)-incubated HL1 cells were used to validate the effects of luteolin in vitro. In addition, a p53 agonist and an inhibitor were used to investigate the mechanism. ResultsLuteolin reduced the myocardial infarcted size and myocardial enzymes, and restored cardiac function in MIRI mice. Network pharmacology identified p53 as a hub target. The bioinformatic analyses showed that luteolin had anti-apoptotic and anti-oxidative properties. Additionally, luteolin halted the activation of p53, and prevented both apoptosis and oxidative stress in myocardial tissue in vivo. Furthermore, luteolin inhibited cell apoptosis, JC-1 monomer formation, and reactive oxygen species elevation in HR-incubated HL1 cells in vitro. Finally, the p53 agonist NSC319726 downregulated the protective attributes of luteolin in the MIRI mouse model, and both luteolin and the p53 inhibitor pifithrin‐α demonstrated a similar therapeutic effect in the MIRI mice. ConclusionLuteolin effectively treats MIRI and may ameliorate myocardial damage by regulating apoptosis and oxidative stress through its targeting of the p53 signaling pathway.Please cite this article as: Zhai P, Ouyang XH, Yang ML, Lin L, Li JY, Li YM, Cheng X, Zhu R, Hu DS. Luteolin protects against myocardial ischemia/reperfusion injury by reducing oxidative stress and apoptosis through the p53 pathway. J Integr Med. 2024; Epub ahead of print.Please cite this article as: Zhai P, Ouyang XH, Yang ML, Lin L, Li JY, Li YM, Cheng X, Zhu R, Hu DS. Luteolin protects against myocardial ischemia/reperfusion injury by reducing oxidative stress and apoptosis through the p53 pathway. J Integr Med. 2024; Epub ahead of print.

Analysis of the mechanism of berberine against stomach carcinoma based on network pharmacology and experimental validation.

Although the therapeutic effects of berberine have received some attention in recent years, its potential mechanisms underlying its action against stomach carcinoma (SC) remain unclear. In this study, we aimed to elucidate the mechanisms underlying the effects of berberine against SC using a network pharmacology and experimental verification approach. Several publicly available databases were used to collect the targets of berberine and SC. Protein-protein interaction (PPI) network, enrichment analyses and molecular docking were performed based on the potential targets of berberine against SC. The potential clinical significance and prognostic value of the targets were predicted by using nomogram and receiver operating characteristic (ROC) analyses. Then the viability and apoptosis of SC cells treated with berberine were determined. Moreover, reactive oxygen species (ROS), mitochondrial membrane potential (MMP) and adenosine triphosphate (ATP) measurements and western blot assay were carried out to validate the predicted mechanisms. Seventy-six potential targets of berberine against SC were identified. The construction of PPI network enabled the identification of hub targets, such as AKT1, TP53, IL6, JUN and MAPK1. Enrichment analyses showed that berberine was involved in apoptosis, mitophagy, ROS metabolic process, AMPK and MAPK signaling pathway. The expression levels of hub targets also contributed to the clinical prognosis of patients with SC. Molecular docking revealed the possible patterns of direct interaction between berberine and target proteins, including AMPK, TP53 and MAPK1. Experimental results showed that berberine reduced SC cell viability, promoted apoptosis and ROS generation, and contributed to reductions in MMP and ATP levels. Western blot assay demonstrated that berberine increased AMPK and TP53 expression, while decreased phosphorylated-MAPK3/1 expression. We elucidated the potential action mechanisms of berberine against SC using a network pharmacology approach. Some predicted mechanisms underlying the anti-SC effects were verified based on experimental approaches. Our findings provide a meaningful foundation for berberine as a cellular apoptosis-inducing and energy metabolism-regulating agent against SC. However, in vivo experiments and clinical studies need to be further carried out. Moreover, it is necessary to study the potential negative effects of berberine thoroughly.

Integrated bioinformatic analysis of the molecular mechanisms between type 2 diabetes mellitus and osteoarthritis.

Type 2 diabetes mellitus (T2DM) is a metabolic syndrome that has been identified as an independent risk factor for osteoarthritis (OA) and may even trigger and exacerbate the progression of OA. However, the relationship between T2DM and OA is complex and has not yet been fully clarified by current research. In this study, we analyzed the potential mechanism of action between T2DM and OA by bioinformatics. Transcriptome sequencing data of T2DM (GSE25724) and OA (GSE55235) were downloaded from the gene expression omnibus. Differential expression analysis was performed for different subgroups to obtain differentially expressed genes. The protein-protein interaction network was constructed using overlapping genes and screened for hub targets. Then the enrichment analysis was performed separately for overlapping and hub targets. The GeneMANIA is used to predict functionally similar genes of hub genes. Differential expression analyses revealed that 184 genes are involved in both diseases together. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment results showed that the overlapping genes were mainly involved in the advanced glycation end products-receptor of advanced glycation end products signaling pathway, the NF-kappa B signaling pathway, the mitogen-activated protein kinases signaling pathway, and the interleukin-17 signaling pathway in diabetic complications. The functions of genes similar to the hub genes are focused on cell chemotaxis, positive regulation of cell migration, positive regulation of RNA polymerase II transcription, regulation of leukocyte migration, epithelial cell proliferation, and integrated stress response signaling. The transcription factor Jun and C-X-C motif chemokine 8 may play an important role in the inflammatory response caused by advanced glycation end products. This study improves our understanding of T2DM complicating OA and helps to stimulate more effective treatments.

Zhongfeng decoction attenuates cerebral ischemia-reperfusion injury by inhibiting autophagy via regulating the AGE-RAGE signaling pathway

Ethnopharmacological relevanceTackling phlegm and improving blood circulation is vital in the treatment of ischemic stroke (IS), culminating in the development of Zhongfeng Decoction (ZFD), a method grounded in this approach and serving as an effective therapy for IS. Nonetheless, the defensive mechanism of the ZFD in preventing cerebral ischemia-reperfusion damage remains ambiguous. Aim of the studyDetermine the active ingredients in ZFD that have neuroprotective effects, and identify its mechanism of action against IS. Materials and methodsA cerebral ischemia model in rats was developed, utilizing TTC, Nissl staining, and an oxidative stress kit to evaluate the neuroprotective impact of ZFD on this rat model. Following this, an amalgamation of LC-MS and network pharmacology techniques was employed to pinpoint potential active components, primary targets, and crucial action mechanisms of ZFD in treating IS. Finally, key targets and signaling pathways were detected using qRT-PCR, ELISA, Western blotting, electron microscopy, and other methods. ResultsThrough LC-MS and network analysis, 15 active ingredients and 6 hub targets were identified from ZFD. Analysis of pathway enrichment revealed that ZFD predominantly engages in the AGE-RAGE signaling route. Kaempferol, quercetin, luteolin, baicalein, and nobiletin in ZFD are the main active ingredients for treating IS. In vivo validation showed that ZFD can improve nerve damage in cerebral ischemic rats, reduce the mRNA expression of IL6, SERPINE1, CCL2, and TGFB1 related to inflammation. Furthermore, we also confirmed that ZFD can inhibit the protein expression of AGEs, RAGE, p-IKBα/IKBα, p-NF-κB p65/NF-κB p65, reduce autophagy levels, and thus decrease neuronal apoptosis. ConclusionsThe mechanism of action of ZFD in treating IS primarily includes inflammation suppression, oxidative stress response alleviation, post-stroke cell autophagy and apoptosis regulation, and potential mediation of the AGE-RAGE signaling pathway. This study elucidates how ZFD functions in treating IS, establishing a theoretical basis for its clinical application.

Exploring antithrombotic mechanisms and effective constituents of Lagopsis supina using an integrated strategy based on network pharmacology, molecular docking, metabolomics, and experimental verification in rats

Ethnopharmacological relevanceThrombosis is a common cause of morbidity and mortality worldwide. Lagopsis supina (Stephan ex Willd.) Ikonn.-Gal. ex Knorring is an ancient Chinese herbal medicine used for treating thrombotic diseases. Nevertheless, the antithrombotic mechanisms and effective constituents of this plant have not been clarified. Aim of the studyThis work aimed to elucidate the pharmacodynamics and mechanism of L. supina against thrombosis. Materials and methodsSystematic network pharmacology was used to explore candidate effective constituents and hub targets of L. supina against thrombosis. Subsequently, the binding affinities of major constituents with core targets were verified by molecular docking analysis. Afterward, the therapeutic effect and mechanism were evaluated in an arteriovenous bypass thrombosis rat model. In addition, the serum metabolomics analysis was conducted using ultra-high performance liquid chromatography coupled with Q-Exactive mass spectrometry. ResultsA total of 124 intersected targets of L. supina against thrombosis were predicted. Among them, 24 hub targets were obtained and their mainly associated with inflammation, angiogenesis, and thrombosis approaches. Furthermore, 9 candidate effective constituents, including (22E,24R)-5α,8α-epidioxyergosta-6,22-dien-3β-ol, aurantiamide, (22E,24R)-5α,8α-epidioxyergosta-6,9 (11),22-trien-3β-ol, lagopsinA, lagopsin C, 15-epi-lagopsin C, lagopsin D, 15-epi-lagopsin D, and lagopsin G in L. supina and 6 potential core targets (TLR-4, TNF-α, HIF-1α, VEGF-A, VEGFR-2, and CLEC1B) were acquired. Then, these 9 constituents demonstrated strong binding affinities with the 6 targets, with their lowest binding energies were all less than −5.0 kcal/mol. The antithrombotic effect and potential mechanisms of L. supina were verified, showing a positively associated with the inhibition of inflammation (TNF-α, IL-1β, IL-6, IL-8, and IL-10) and coagulation cascade (TT, APTT, PT, FIB, AT-III), promotion of angiogenesis (VEGF), suppression of platelet activation (TXB2, 6-keto-PGF1α, and TXB2/6-keto-PGF1α), and prevention of fibrinolysis (t-PA, u-PA, PAI-1, PAI-1/t-PA, PAI-1/u-PA, and PLG). Finally, 14 endogenous differential metabolites from serum samples of rats were intervened by L. supina based on untargeted metabolomics analysis, which were closely related to amino acid metabolism, inflammatory and angiogenic pathways. ConclusionOur integrated strategy based on network pharmacology, molecular docking, metabolomics, and in vivo experiments revealed for the first time that L. supina exerts a significant antithrombotic effect through the inhibition of inflammation and coagulation cascade, promotion of angiogenesis, and suppression of platelet activation. This paper provides novel insight into the potential of L. supina as a candidate agent to treat thrombosis.

Network Pharmacology, Molecular Docking Analysis and Experiment Validations on Molecular Targets and Mechanisms of the Dispel-Scar Ointment in Scar Treatment.

Dispel-Scar Ointment is used in Traditional Chinese Medicine to treat scarred tissue and increasing evidence has shown that DSO has potent therapeutic; however, its exact mechanism remains unexplored. This study explored the molecular mechanisms of action of DSO in scarring using network pharmacology, molecular docking, and experimental validation. Public databases were used to predict the bioactive ingredients and putative targets of DSO against scars. A compounds-targets network was constructed using the Cytoscape software. Enrichment analysis was performed using ClueGo and FunRich to specify the biological functions and associated pathways of hub targets. Molecular docking was used to verify the correlation between the major active components and hub targets, visualised using PyMol 2.3. Experimental validations were conducted to elucidate the influence of DSO on keloid fibroblast cells using the CCK-8, wound-scratch, cell reactive oxygen species, and western blot assays. Results：Network pharmacological analysis of DSO for scar treatment identified 146 ingredients and 1078 gene targets. Major targets included, prostaglandin-endoperoxide synthase 2 matrix metallopeptidases, and nitric oxide synthase 2. ClueGo analysis revealed 29 pathways (p<0.05) and FunRich 345 pathways (p<0.05), mainly toll-like receptor, TGF-β, interleukin-4/13, glypican, and tumour necrosis factor-related apoptosis-inducing ligand pathways. Molecular docking showed MMP2-flavoxanthin, MMP9-luteolin and MMP-9-kaempferol bound best to DSO. DSO could inhibit the proliferation and migration of scar fibroblasts and promote their apoptosis in a concentration-dependent manner. DSO also decreased TGF-β1, -βR2, pSMAD2, pSMAD3, SMAD4, CoL1a1, and MMP2 expression. Network pharmacology, molecular docking, and experimental validation showed DSO's potential in treating scars. It may inhibit scars via the TGF-β1/SMADs/MMPs signalling pathway, providing a basis for DSO's scar treatment application.

Data Mining and in Silico Analysis of Ethiopian Traditional Medicine: Unveiling the Therapeutic Potential of Rumex abyssinicus Jacq.

Multicomponent traditional medicine prescriptions are widely used in Ethiopia for disease treatment. However, inconsistencies across practitioners, cultures, and locations have hindered the development of reliable therapeutic medicines. Systematic analysis of traditional medicine data is crucial for identifying consistent and reliable medicinal materials. In this study, we compiled and analyzed a dataset of 505 prescriptions, encompassing 567 medicinal materials used for treating 106 diseases. Using association rule mining, we identified significant associations between diseases and medicinal materials. Notably, wound healing-the most frequently treated condition-was strongly associated with Rumex abyssinicus Jacq., showing a high support value. This association led to further in silico and network analysis of R. abyssinicus Jacq. compounds, revealing 756 therapeutic targets enriched in various KEGG pathways and biological processes. The Random-Walk with Restart (RWR) algorithm applied to the CODA PPI network identified these targets as linked to diseases such as cancer, inflammation, and metabolic, immune, respiratory, and neurological disorders. Many hub target genes from the PPI network were also directly associated with wound healing, supporting the traditional use of R. abyssinicus Jacq. for treating wounds. In conclusion, this study uncovers significant associations between diseases and medicinal materials in Ethiopian traditional medicine, emphasizing the therapeutic potential of R. abyssinicus Jacq. These findings provide a foundation for further research, including in vitro and in vivo studies, to explore and validate the efficacy of traditional and natural product-derived medicines.