Tongnao Decoction Exerts a Treatment Effect on Ischemic Stroke by IL-6/PI3K/Akt/GSK-3β Pathway: Based on the Network Pharmacology and Molecular Docking.

Beneficial effects of mijianchangpu decoction on ischemic stroke through components accessing to the brain based on network pharmacology

The potential anti-stroke active components in Taohong Siwu Decoction(THSWD) were identified by target cell trapping coupled with ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UPLC-Q-TOF-MS). The underlying mechanism of active components in THSWD in the treatment of ischemic stroke(IS) was explored by network pharmacology, molecular docking, and experimental validation. The UPLC-Q-TOF-MS technology combined with the UNIFI data analysis platform was used to analyze the composition of the cellular fragmentation fluid after co-incubation of THSWD with target cells. The targets of potential active components and IS were collected by network pharmacology, and the common targets underwent protein-protein interaction(PPI), Gene Ontology(GO), and Kyoto Encyclopedia of Genes and Genomes(KEGG) signaling pathway enrichment analyses. The target cell trapping component-core target-signaling pathway network was constructed, and the active components were molecularly docked to the top targets in the PPI network, followed by pharmacodynamic validation in vitro. Fifteen active components were identified in the target cellular fragmentation fluid, including bicyclic monoterpenes, cyanoglycosides, flavonols, quinoid chalcones, phenylpropanoids, and tannins. As revealed by the analysis of network pharmacology, THSWD presumably regulated PI3K-AKT, FoxO, MAPK, Jak-STAT, VEGF, HIF-1, and other signaling pathways to affect inflammatory cascade reaction, angiogenesis, oxidative stress, pyroptosis, apoptosis, and other pathological processes via paeoniflorin, butylphthalide, dehydrated safflower yellow B, 3,4-dicaffeoylquinic acid, amygdalin, paeoniflorin, and ligusticolactone. Molecular docking and in vitro pharmacodynamic validation revealed that the target cell trapping active components could promote neovascularization in rat brain microvascular endothelial cells(rBMECs) in the oxygen-glucose deprivation/reoxygenation(OGD/R) model. The application of target cell trapping coupled with UPLC-Q-TOF-MS technology can rapidly screen out the potential active components in THSWD. The active components of THSWD can be predicted to intervene in the pathogenesis of IS through network pharmacology, and molecular docking combined with experimental validation can further clarify the efficacy, thus providing a theoretical basis for research ideas on the pharmacodynamic substance basis of traditional Chinese medicine compounds.

BackgroundPanax notoginseng saponins (PNS) have been deemed effective herb compounds for treating ischaemic stroke (IS) and improving the quality of life of IS patients. This study aimed to investigate the underlying mechanisms of PNS in the treatment of IS based on network pharmacology. Methods PNS were identified from the Traditional Chinese Medicine System Pharmacology (TCMSP) database, and their possible targets were predicted using the PharmMapper database. IS-related targets were identified from the GeneCards database, OMIM database, and DisGeNET database. A herb-compound-target-disease network was constructed using Cytoscape, and protein-protein interaction (PPI) networks were established with STRING. GO enrichment and KEGG pathway analysis were performed using DAVID. The binding of the compounds and key targets was validated by molecular docking studies using AutoDock Vina. The neuroprotective effect of TFCJ was substantiated in terms of oxidative stress (superoxide dismutase, glutathione peroxidase, catalase, and malondialdehyde) and the levels of IGF1/PI3K/Akt pathway proteins. Results A total of 375 PNS targets and 5111 IS-related targets were identified. Among these targets, 241 were common to PNS, and IS network analysis showed that MAPK1, AKT1, PIK3R1, SRC, MAPK8, EGFR, IGF1, HRAS, RHOA, and HSP90AA1 are key targets of PNS against IS. Furthermore, GO and KEGG enrichment analysis indicated that PNS probably exert therapeutic effects against IS by regulating many pathways, such as the Ras, oestrogen, FoxO, prolactin, Rap1, PI3K-Akt, insulin, PPAR, and thyroid hormone signalling pathways. Molecular docking studies further corroborated the experimental results.The network pharmacology results were further verified by molecular docking and in vivo experiments. Conclusions The ameliorative effects of PNS against IS were predicted to be associated with the regulation of the IGF1-PI3K-Akt signalling pathway. Ginsenoside Re and ginsenoside Rb1 may play an important role in the treatment of IS.

To explore the Radix Paeoniae Rubra-Flos Carthami herb pair's (RPR-FC) potential mechanism in treating ischemic stroke (IS) by network pharmacology and molecular docking technology.The Traditional Chinese Medicine Systems Pharmacology Database was used to screen the active components of the RPR-FC, and Cytoscape 3.8 software was used to construct a network map of its active components and targets of action. The GeneCards and OMIM databases were used to identify disease targets of IS, and the common targets were chosen as research targets and imported into the STRING database to construct a protein–protein interaction network map of these targets. R language software was used to analyze the enrichment of GO terms and KEGG pathways, and explore the mechanisms of these targets. Molecular docking technology was used to verify that the RPR-FC components had a good bonding activity with their potential targets.A total of 44 active components, which corresponded to 197 targets, were identified in the RPR-FC. There were 139 common targets between the herb pair and IS. GO functional enrichment analysis revealed 2253 biological process entries, 72 cellular components entries, and 183 molecular functions entries. KEGG pathway enrichment analysis was mainly related to the NF-kappa B signaling pathway, the TNF signaling pathway, apoptosis, the MAPK signaling pathway, the PI3K-Akt signaling pathway, the VEGF signaling pathway, etc. The molecular docking results showed the components that docked well with key targets were quercetin, luteolin, kaempferol, and baicalein.The active components (quercetin, luteolin, kaempferol, and baicalein) of the RPR-FC and their targets act on proteins such as MAPK1, AKT1, VEGFA, and CASP3, which are closely related to IS.1 These targets are closely related to the NF-kappa B signaling pathway, the MAPK signaling pathway, the PI3K-Akt signaling pathway, the VEGF signaling pathway, and other signaling pathways. These pathways are involved in the recovery of nerve function, angiogenesis, and neuronal apoptosis and the regulation of inflammatory factors, which may have a therapeutic effect on IS.

Gastrodia elata Blume (GEB) is widely used to treat cardio-cerebrovascular disease in China and in traditional Chinese medicine it is considered to be a dispelling wind and dredging collateral. However, the mechanism and active components of the plant in treating ischemic stroke (IS) remain unclear. The present study aimed to identify the active components and mechanism of GEB in treating IS using network pharmacology and molecular docking technology. Network analysis predicted 752 potential targets from 14 compounds in GEB, sharing 32 key targets with IS-associated targets. Gene Ontology analysis of key targets showed that 'oxidative stress', 'immune response' and 'regulation of blood circulation' were significantly enriched. Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that the key targets regulated 11 representative pathways including 'arachidonic acid metabolism', 'lipid and galactose metabolism'. In the protein-protein interaction network, five core targets, including toll-like receptor agonist, STAT3, myeloperoxidase (MPO), prostaglandin-endoperoxide synthase and matrix metalloproteinase (MMP)9, were identified and successfully docked with four active components: Palmitic acid, alexandrin, para-hydroxybenzaldehyde and gastrodin. Alexandrin, para-hydroxybenzaldehyde, and gastrodin are closely related to brain ischemia/reperfusion damage and repair. Therefore, to further verify the mechanism of action of three active components in the second part, we established the HT22 oxygen-glucose deprivation-reperfusion (OGD/R) model. Cell Counting Kit-8 assay and western blot analysis demonstrated that these three active components of GEB regulated core targets of molecular docking, such as STAT3, MPO and MMP9. In vitro experiments showed that OGD/R decreased cell survival, while this effect was reversed by the three active components of GEB. In addition, western blot analysis indicated that alexandrin upregulated expression of phosphorylated-STAT3, para-hydroxybenzaldehyde downregulated MPO and gastrodin downregulated MMP9. Therefore, the present study showed that GEB may prevent and treat IS via interaction between the active components and the main targets, which is key for investigating the efficacy of traditional Chinese medicine.

Methods The bioactive components and potential targets of BHD were screened by TCMSP, BATMAN-TCM, ETCM, and SymMap databases. Besides, compounds that failed to find the targets from the above databases were predicted through STITCH, SwissTargetPrediction, and SEA. Moreover, six databases were searched to mine targets of IS. The intersection targets were obtained and analyzed by GO and KEGG enrichment. Furthermore, BHD-IS PPI network, compound-target network, and herb-target-pathway network were constructed by Cytoscape 3.6.0. Finally, AutoDock was used for molecular docking verification. Results A total of 235 putative targets were obtained from 59 active compounds in BHD. Among them, 62 targets were related to IS. PPI network showed that the top ten key targets were IL6, TNF, VEGFA, AKT1, etc. The enrichment analysis demonstrated candidate BHD targets were more frequently involved in TNF, PI3K-Akt, and NF-kappa B signaling pathway. Network topology analysis showed that Radix Astragali was the main herb in BHD, and the key components were quercetin, beta-sitosterol, kaempferol, stigmasterol, etc. The results of molecular docking showed the active components in BHD had a good binding ability with the key targets. Conclusions Our study demonstrated that BHD exerted the effect of treating IS by regulating multitargets and multichannels with multicomponents through the method of network pharmacology and molecular docking.

Aim To elucidate the mechanism of action of berberine on ischaemic stroke based on network pharmacology, bioinformatics, and experimental verification. Methods Berberine-related long noncoding RNAs (lncRNAs) were screened from public databases. Differentially expressed lncRNAs in ischaemic stroke were retrieved from the Gene Expression Omnibus (GEO) database. GSE102541 was comprehensively analysed using GEO2R. The correlation between lncRNAs and ischaemic stroke was evaluated by the mammalian noncoding RNA-disease repository (MNDR) database. The component-target-disease network and protein-protein interaction (PPI) network of berberine in the treatment of ischaemic stroke were constructed by using network pharmacology. We then performed gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses. Finally, according to the molecular docking analysis and the binding probability between the lncRNA and key proteins, the effectiveness of the results was further verified by in vitro experiments. Results After matching stroke-related lncRNAs with berberine-related lncRNAs, four genes were selected as potential targets of berberine in the treatment of ischaemic stroke. Subsequently, lncRNA H19 was identified as the potential crucial regulatory lncRNA of berberine. Here, 52 target proteins of berberine in the treatment of ischaemic stroke were identified through database mining. Through topological analysis, 20 key targets were identified which were enriched in inflammation, apoptosis, and immunity. Molecular docking results showed that MAPK8, JUN, and EGFR were central genes. Finally, in vitro experiments demonstrated that lncRNA H19, p-JNK1/JNK1, p-c-Jun/c-Jun, and EGFR expressions were significantly increased in hypoxia-treated SH-SY5Y cells and were restored by berberine treatment. Conclusion The potential targets and biological effects of berberine in the treatment of ischaemic stroke were predicted in this study. The lncRNA H19/EGFR/JNK1/c-Jun signalling pathway may be a key mechanism of berberine-induced neuroprotection in ischaemic stroke.

Fufang Xueshuantong (FFXST) capsule is a traditional Chinese medicine (TCM) preparation used to activate blood circulation, resolve stasis, benefit qi, and nourish yin in clinical practice. However, its potential mechanism and molecular targets after ischemic stroke (IS) have not been investigated. The aim of this research was to investigate the molecular mechanisms of FFXST in the treatment of IS based on network pharmacology and molecular docking. We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) to collect candidate compounds of four herbs in FFXST; disease-related differential genes were screened using the Gene Expression Omnibus (GEO) database, and a compound–disease network was created using Cytoscape 3.8.2 software. The topological analysis of the protein–protein interaction (PPI) network was then created to determine the candidate targets of FFXST against IS. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using the clusterProfiler package in R. The gene–pathway network of FFXST against IS was created to obtain the key target genes. Molecular docking was used to validate the core targets using AutoDock Vina 1.1.2. A total of 455 candidate compounds of FFXST and 18,544 disease-related differential genes were screened. Among them, FFXST targets for IS treatment had 67 active compounds and 10 targets in the PPI network related to STAT1, STAT3, and HIF1A. The biological processes of GO analysis included the regulation of reactive oxygen species metabolic process, cellular response to chemical stress, regulation of angiogenesis, regulation of vasculature development, positive regulation of cytokine production, and response to oxidative stress. The KEGG enrichment analysis showed that Kaposi sarcoma-associated herpesvirus infection, microRNAs in the cancer signaling pathway, Th17 cell differentiation, and HIF-1 signaling pathway were significantly enriched. The network pharmacology outcomes were further verified by molecular docking. We demonstrated that FFXST protection against IS may relate to the regulation of oxidative stress, immune inflammatory response, and angiogenesis through the relevant signaling pathways. Our study systematically illustrated the application of network pharmacology and molecular docking in evaluating characteristics of multi-component, multi-target, and multi-pathway of FFXST for IS.

Angong Niuhuang Wan inhibit ferroptosis on ischemic and hemorrhagic stroke by activating PPARγ/AKT/GPX4 pathway

Lobetyolin alleviates microglial inflammation by activating CK2α/Opa1-mediated mitochondrial fusion in ischemic stroke.

Objective: To study the potential targets and molecular mechanisms of Fritiliariae Irrhosae Bulbus (FIB) in the treatment of ischemic strokes based on a network pharmacology strategy, with a combination of molecular docking and animal experiments.Methods: The active components and targets of FIB were screened by TCMSP database and TCMIP database, and the related targets of ischemic strokes were screened by GeneCards, OMIM, CTD, and DrugBank, then the intersection targets of the two were taken. The protein interaction network was constructed by STRING, the PPI network diagram was drawn by using Cytoscape software, and the key targets of FIB treatment of ischemic strokes were analyzed by MCODE. The DAVID database was used for GO and KEGG enrichment analysis, and the potential pathway of FIB against ischemic strokes was obtained. Molecular docking was performed by using AutoDock Tools 1.5.6 software. Finally, a mouse model of ischemic stroke was established, and the results of network pharmacology were verified by in vivo experiments. Realtime Polymerase Chain Reaction was used to detect the expression levels of relevant mRNAs in the mouse brain tissue. Western blot was used to detect the expression levels of related proteins in the mouse brain tissue.Results: 13 kinds of active components of FIB were screened, 31 targets were found in the intersection of FIB and ischemic strokes, 10 key targets were obtained by MCODE analysis, 236 biological processes were involved in GO enrichment analysis, and key targets of KEGG enrichment analysis were mainly concentrated in Neuroactive light receptor interaction, Calcium signaling pathway, Cholinergic synapse, Hepatitis B, Apoptosis—multiple specifications, Pathways in cancer and other significantly related pathways. There was good binding activity between the screened main active components and target proteins when molecular docking was performed. Animal experiments showed that the infarct volume of brain tissue in the FIB treatment group was considerably reduced. RT-qPCR and the results of Western Blot showed that FIB could inhibit the expression of active-Caspase3, HSP90AA1, phosphorylated C-JUN, and COX2.Conclusion: Based on network pharmacology, the effect of FIB in the treatment of ischemic strokes was discussed through the multi-component-multi-target-multi-pathway. The therapeutic effect and potential mechanisms of FIB on ischemic strokes were preliminarily explored, which provided a ground work for further researches on the pharmacodynamic material basis, mechanism of action and clinical application.

Radix Paeoniae Rubra (RPR), an edible and medicinal Traditional Chinese Medicine (TCM), is extensively employed in therapeutic interventions of cardiovascular and cerebrovascular diseases. However, the curative effect of RPR on ischemic stroke remains ambiguous. This work integrated network pharmacology, molecular docking, and experimental validation to explore the mechanisms of RPR in treating ischemic stroke. In this study, we preliminarily elucidated the therapeutic effect and mechanism of RPR on ischemic stroke through network pharmacology, molecular docking analysis, and experimental verification. The results indicated that RPR improved the neurological deficit scores, decreased the size of infarcts, and reduced brain edema symptoms in the tMCAO mice model. Furthermore, through network pharmacology and molecular docking, four core targets (MAPK3, TNF-α, MAPK14, and JNK) closely related to RPR's treatment of ischemic stroke were identified, exhibiting strong affinity with two key active components of RPR: albiflorin (AF) and β-sitosterol (BSS). The Western blot showed the potential mechanism of RPR treatment for ischemic stroke by regulating the MAPK signaling pathway. Moreover, RPR and its main active ingredients exhibited a significant inhibitory effect on platelets. In conclusion, this study revealed that RPR alleviates ischemic injury by activating the MAPK signaling pathway, and its protective effect may partly stem from inhibiting platelet activation. This work may provide a scientific basis for the development and utilization of RPR as a natural edible material to prevent ischemic stroke and anti-platelet therapy.

Salvianolic acid C (SAC) is a major bioactive component of Salvia miltiorrhiza Bunge (Danshen), a Chinese herb for treating ischemic stroke (IS). However, the mechanism by which SAC affects the IS has not yet been evaluated, thus a network pharmacology integrated molecular docking strategy was performed to systematically evaluate its pharmacological mechanisms, which were further validated in rats with cerebral ischemia. A total of 361 potential SAC-related targets were predicted by SwissTargetPrediction and PharmMapper, and a total of 443 IS-related targets were obtained from DisGeNET, DrugBank, OMIM, and Therapeutic Target database (TTD) databases. SAC-related targets were hit by the 60 targets associated with IS. By Gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment combined with the protein-protein interaction (PPI) network and cytoHubba plug-ins, nine related signaling pathways (proteoglycans in cancer, pathways in cancer, PI3K-Akt signaling pathway, Focal adhesion, etc.), and 20 hub genes were identified. Consequently, molecular docking indicated that SAC may interact with the nine targets (F2, MMP7, KDR, IGF1, REN, PPARG, PLG, ACE and MMP1). Four of the target proteins (VEGFR2, MMP1, PPARγ and IGF1) were verified using western blot. This study comprehensively analyzed pathways and targets related to the treatment of IS by SAC. The results of western blot also confirmed that the SAC against IS is mainly related to anti-inflammatory and angiogenesis, which provides a reference for us to find and explore the effective anti-IS drugs.

Ischemic stroke exhibits high morbidity, disability, and mortality, and treatments for ischemic stroke are limited despite intensive research. The potent neuroprotective benefits of Epimedium against ischemic stroke have gained lots of interest. Nevertheless, systematic research on the direct role and mechanisms of Epimedium in ischemic stroke is still lacking. Network pharmacology analysis coupled with experimental verification was utilized to systematically evaluate the potential pharmacological mechanism of Epimedium against ischemic stroke. The TCMSP database was used to mine the bioactive ingredients and Epimedium's targets. The DrugBank, OMIM, and GeneCards databases were employed to identify potential targets of ischemic stroke. GO and KEGG pathway analyses were also carried out. The interaction between active components and hub targets was confirmed via molecular docking. An experimental ischemic stroke model was used to evaluate the possible therapeutic mechanism of Epimedium. As a result, 23 bioactive compounds of Epimedium were selected, and 30 hub targets of Epimedium in its function against ischemic stroke were identified, and molecular docking results demonstrated good binding. The IL-17 signaling pathway was revealed as a potentially significant pathway, with the NF-κB and MAPK/ERK signaling pathways being involved. Furthermore, in vivo experiments demonstrated that Epimedium treatment could improve neurological function and reduce infarct volume. Additionally, Epimedium reduced the activation of microglia and astrocytes in both the ischemic penumbra of the hippocampus and cerebral cortex following ischemic stroke. Western blot and RT-qPCR analyses demonstrated that Epimedium not only depressed the expression of IL-1β, TNF-α, IL-6, and IL-4 but also inhibited the NF-κB and MAPK/ERK signaling pathways. This study applied network pharmacology and in vivo experiment to explore possible mechanism of Epimedium's role against ischemic stroke, which provides insight into the treatment of ischemic stroke.

ObjectiveThis study aimed to evaluate the potential mechanism by which Monocyte locomotion inhibitory factor (MLIF) improves the outcome of ischemic stroke (IS) inflammatory injury.MethodsPotential MLIF-related targets were predicted using Swiss TargetPrediction and PharmMapper, while IS-related targets were found from GeneCards, PharmGKB, and Therapeutic Target Database (TTD). After obtaining the intersection from these two datasets, the Search Tool for Retrieval of Interacting Genes/Protein (STRING11.0) database was used to analyze the protein-protein interaction (PPI) network of the intersection and candidate genes for MLIF treatment of IS. The candidate genes were imported into the Metascape database for Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. The top 20 core genes and the “MLIF-target-pathway” network were mapped using the Cytoscape3.9.1. Using AutoDock Vina1.1.2, the molecular docking validation of the hub targets and MLIF was carried out. In the experimental part, transient middle cerebral artery occlusion (tMCAO) and oxygen and glucose deprivation (OGD) models were used to evaluate the protective efficacy of MLIF and the expression of inflammatory cytokines and the putative targets.ResultsMLIF was expected to have an effect on 370 targets. When these targets were intersected with 1,289 targets for ischemic stroke, 119 candidate therapeutic targets were found. The key enriched pathways were PI3K-Akt signaling pathway and MAPK signaling pathway, etc. The GO analysis yielded 1,677 GO entries (P < 0.01), such as hormone stimulation, inflammatory response, etc. The top 20 core genes included AKT1, EGFR, IGF1, MAPK1, MAPK10, MAPK14, etc. The result of molecular docking demonstrated that MLIF had the strong binding capability to JNK (MAPK10). The in vitro and in vivo studies also confirmed that MLIF protected against IS by lowering JNK (MAPK10) and AP-1 levels and decreasing pro-inflammatory cytokines (IL-1, IL-6).ConclusionMLIF may exert a cerebral protective effect by inhibiting the inflammatory response through suppressing the JNK/AP-1 signaling pathway.