Qijiao Shengbai Capsules(QJ) can invigorate Qi and replenish the blood, which is commonly used clinically for adjuvant treatment of cancer and leukopenia due to chemoradiotherapy. However, the pharmacological mechanism of QJ is still unclear. This work aims to combine the high-performance liquid chromatography(HPLC) fingerprints and network pharmacology to clarify the effective components and mechanism of QJ. The HPLC fingerprints of 20 batches of QJ were established. The similarity evaluation among 20 batches of QJ was performed by using Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(version 2012), resulting in a similarity greater than 0.97. Eleven common peaks were identified by reference standard, including ferulic acid, calycosin 7-O-glucoside, ononin, calycosin, epimedin A, epimedin B, epimedin C, icariin, formononetin, baohuoside I, and Z-ligustilide. The "component-target-pathway" network was constructed by network pharmacy, and 10 key components in QJ were identified, such as ferulic acid, calycosin 7-O-glucoside, ononin, and calycosin. The components were involved in the phosphoinositide 3 kinase-protein kinase B(PI3K-Akt), mitogen-activated protein kinase(MAPK), and other signaling pathways by regulating potential targets, including EGFR, RAF1, PIK3R1, and RELA, to auxiliarily treat tumors, cancers, and leukopenia. The molecular docking conducted on the AutoDock Vina platform confirmed the high binding activity of 10 key effective components with core targets, with the binding energy less than-5 kcal·mol~(-1). In this study, the effective components and mechanism of QJ have been preliminary revealed based on HPLC fingerprint and network pharmacology, which provided a basis for quality control of QJ and a refe-rence for further study on its mechanism.
Network Pharmacology ; Capsules ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Drugs, Chinese Herbal/pharmacology*

OBJECTIVE: To investigate the effect of metformin on the proliferation, apoptosis and energy metabolism of acute myeloid leukemia (AML) K562 cells and the possible mechanism. METHODS: Different doses (0, 5, 10, 20 and 30 mmol/L) of metformin was added into the K562 cells, which were cultivated for 24 h, 48 h and 72 h. The inverted optical microscope was used to observe the cell growth, CCK 8 was used to detect the cell vitality. The appropriate metformin doses (0, 10, 20 and 30 mmol/L) and the best time (48 h) were selected for subsequent experiments. The flow cytometer with Annexin V-FITC /PI doulde staining was used to detect apoptosis; the glucose detection kit and lactate detection kit were used to detect glucose consumption and lactate production; fluorescence quantitative PCR was used to detect glycolysis-related gene expression, and Western blot was used to detect protein expression. RESULTS: Metformin inhibited the proliferation of K562 cells in a dose-dependent manner (r=0.92), and the relative survival in the 30 mmol/L group was as low as 19.84% at 72 h. When treated with metformin for 48 h, the apoptosis rates of 0, 10, 20 and 30 mmol/L groups were 5.14%, 12.19%, 26.29% and 35.5%, respectively. Compared with the control group, the glucose consumption and lactate secretion of K562 cells treated with metformin were significantly reduced (P<0.05), and showed a dose-dependent effect(r=0.94,r=0.93,respectively). Metformin inhibited the expression of GLUT1, LDHA, ALDOA, PDK1, and PGK1 genes of K562 cells (P<0.05) showing a dose-dependent manner(r=0.83，r=0.80，r=0.72，r=0.76，r=0.73,respectively). Metformin inhibited the expression of P-Akt, P-S6, GLUT1, LDHA proteins of K562 cells(P<0.05), showing a dose-dependent relationship(r=0.80，r=0.92，r=0.83，r=0.92,respectively). CONCLUSION Metformin can inhibit the growth and proliferation of K562 cells and promote the apoptosis of K562 cells by inhibiting glycolysis energy metabolism. PI3K/Akt/mTOR signaling pathway may be one of the molecular mechanisms of metformin on k562 cells.
Apoptosis ; Cell Proliferation ; Glycolysis ; Humans ; K562 Cells ; Metformin ; pharmacology ; Phosphatidylinositol 3-Kinases

Bladder cancer is the most common malignancy of the urinary system. Compound Kushen Injection (CKI) is a Chinese medicinal preparation that has been widely used in the treatment of various types of cancers in the past two decades. However, the pharmacological effect of CKI on bladder cancer is not still completely understood. In the current study, network pharmacology combined with bioinformatics was used to elucidate the therapeutic mechanism and potential targets of CKI in bladder cancer. The mechanism by which CKI was effective against bladder cancer was further verified in vitro using human bladder cancer cell line T24. Network pharmacology analysis identified 35 active compounds and 268 target genes of CKI. Bioinformatics data indicated 5500 differentially expressed genes associated with bladder cancer. Common genes of CKI and bladder cancer suggested that CKI exerted anti-bladder cancer effects by regulating genes such as MMP-9, JUN, EGFR, and ERK1. Functional enrichment analysis indicated that CKI exerted therapeutic effects on bladder cancer by regulating certain biological processes, including cell proliferation, cell migration, and cell apoptosis. In addition, Kyoto Encyclopedia of Genes and Genomes enrichment analysis implicated pathways related to cancer, bladder cancer, and the PI3K-Akt signaling pathway. Consistently, cell experiments indicated that CKI inhibited the proliferation and migration of T24 cells, and induced their apoptosis. Moreover, RT-qPCR and Western blot results demonstrated that CKI was likely to treat bladder cancer by down-regulating the gene and protein expression of MMP-9, JUN, EGFR, and ERK1. CKI inhibited the proliferation and migration, and induced the apoptosis of T24 bladder cancer cells through multiple biological pathways and targets. CKI also exhibited significant effects on the regulation of key genes and proteins associated with bladder cancer. Overall, our findings provide solid evidence and deepen current understanding of the therapeutic effects of CKI for bladder cancer, and further support its clinical use.
Computational Biology ; Drugs, Chinese Herbal ; Humans ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Urinary Bladder Neoplasms/genetics*

The present study aimed to explore the main active components and potential mechanisms of Panax notoginseng saponins(PNS) and osteopractic total flavone(OTF) in the treatment of osteoporosis(OP) through network pharmacology, molecular docking and in vitro cell experiments, which was expected to provide a theoretical basis for clinical applications. The blood-entering components of PNS and OTF were obtained from literature search and online database, and their potential targets were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The OP targets were obtained by means of searching Online Mendelian Inheritance in Man(OMIM) and GeneCards. The common targets of the drug and disease were screened by Venn. Cytoscape was used to construct a "drug-component-target-disease" network, and the core components were screened according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened according to the node degree. GO and KEGG enrichment analysis of potential therapeutic targets were carried out by R language. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock Vina. Finally, HIF-1 signaling pathway was selected for in vitro experimental verification according to the results of KEGG pathway analysis. Network pharmacology showed that there were 45 active components such as leachianone A, kurarinone, 20(R)-protopanaxatriol, 20(S)-protopanaxatriol, and kaempferol, and 103 therapeutic targets such as IL6, AKT1, TNF, VEGFA and MAPK3 involved. PI3K-AKT, HIF-1, TNF and other signaling pathways were enriched. Molecular docking revealed that the core components had good binding ability to the core targets. In vitro experiments found that PNS-OTF could up-regulate the mRNA expression levels of HIF-1α, VEGFA and Runx2, indicating that the mechanism of PNS-OTF in treating OP may be related to the activation of HIF-1 signaling pathway, and thus PNS-OTF played a role in promoting angiogenesis and osteogenic differentiation. In conclusion, this study predicted the core targets and pathways of PNS-OTF in treating OP based on network pharmacology and carried out in vitro experimental verification, which reflected the characteristics of multi-component, multi-target and multi-pathway synergy of PNS-OTF, and provided new ideas for the future clinical treatment of OP.
Humans ; Molecular Docking Simulation ; Network Pharmacology ; Osteogenesis ; Phosphatidylinositol 3-Kinases ; Osteoporosis ; Databases, Genetic

Ultra-performance liquid chromatography-quadrupole time of fight/mass spectrometry(UPLC-Q-TOF-MS) and UNIFI were employed to rapidly determine the content of the components in Liangxue Tuizi Mixture. The targets of the active components and Henoch-Schönlein purpura(HSP) were obtained from SwissTargetPrediction, Online Mendelian Inheritance in Man(OMIM), and GeneCards. A "component-target-disease" network and a protein-protein interaction(PPI) network were constructed. Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed for the targets by Omishare. The interactions between the potential active components and the core targets were verified by molecular docking. Furthermore, rats were randomly assigned into a normal group, a model group, and low-, medium-, and high-dose Liangxue Tuizi Mixture groups. Non-targeted metabolomics was employed to screen the differential metabolites in the serum, analyze possible metabolic pathways, and construct the "component-target-differential metabolite" network. A total of 45 components of Liangxue Tuizi Mixture were identified, and 145 potential targets for the treatment of HSP were predicted. The main signaling pathways enriched included resistance to epidermal growth factor receptor tyrosine kinase inhibitors, phosphatidylinositol 3-kinase/protein kinase B(PI3K-AKT), and T cell receptor. The results of molecular docking showed that the active components in Liangxue Tuizi Mixture had strong binding ability with the key target proteins. A total of 13 differential metabolites in the serum were screened out, which shared 27 common targets with active components. The progression of HSP was related to metabolic abnormalities of glycerophospholipid and sphingolipid. The results indicate that the components in Liangxue Tuizi Mixture mainly treats HSP by regulating inflammation and immunity, providing a scientific basis for rational drug use in clinical practice.
Animals ; Rats ; IgA Vasculitis/drug therapy* ; Network Pharmacology ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Metabolomics

The leaves of sea buckthorn(Hippophae rhamnoides), considered as common food raw materials, have records of medicinal use and diverse pharmacological activities, showing a potential medicinal value. However, the active substances in the sea buckthorn leaves and their mechanisms of action remain unclear. In addition, due to the extensive source and large variety variations, the quality evaluation criteria of sea buckthorn leaves remain to be developed. To solve the problems, this study predicted the main active components, core targets, key pathways, and potential pharmacological effects of sea buckthorn leaves by network pharmacology and molecular docking. Furthermore, ultra-performance liquid chromatography with diode-array detection(UPLC-DAD) was employed to determine the content of active components and establish the chemical fingerprint, on the basis of which the quality markers of sea buckthorn leaves were predicted and then verified by the enzyme activity inhibition method. The results indicated that sea buckthorn leaves had potential therapeutic effects on a variety of digestive tract diseases, metabolic diseases, tumors, and autoimmune diseases, which were consistent with the ancient records and the results of modern pharmacological studies. The core targets of sea buckthorn leaves included PTPN11, AKT1, PIK3R1, ESR1, and SRC, which were mainly involved in the PI3K-AKT, MAPK, and HIF-1 signaling pathways. In conclusion, the active components of sea buckthorn leaves are associated with the rich flavonoids and tannins, among which quercitrin, narcissoside, and ellagic acid can be used as the quality markers of sea buckthorn leaves. The findings provide a reference for the quality control and further development and utilization of sea buckthorn leaves as medicinal materials.
Hippophae/chemistry* ; Network Pharmacology ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases/metabolism* ; Flavonoids/analysis* ; Fruit/chemistry*

Sargassum fusiforme (S. fusiforme) has been used as an ingredient in Chinese herbal medicine for thousands of years. However, there are a limited number of studies concerning its therapeutic mechanism. High performance gel permeation chromatography (HPGPC) analysis showed that the average molecular weight of the S. fusiforme polysaccharide, SFPS 191212, is 43 kDa. SFPS 191212 is composed of mannose, rhamnose, galactose, xylose, glucose, and fucose (at a molar ratio: 2.1 : 2.9 : 1.8 : 15.5 : 4.6 : 62.5) with α- and β-configurations. The present research evaluated the anti-tumor potential of the S. fusiforme polysaccharide in human erythroleukemia (HEL) cells in vitro. To explore the SFPS 191212's apoptosis mechanism in HEL cells, transcriptome analysis was performed on HEL cells that were incubated with SFPS 191212. The inhibitory effect of SFPS 191212 on HEL cell growth was also analyzed. It was found that SFPS 191212 inhibited HEL cell proliferation, reduced cell viability in a concentration-dependent manner, and induced an insignificant toxic effect on normal human embryonic lung (MRC-5) cells. Compared with the control group, transcriptome analysis identified a total of 598 differentially expressed genes (DEGs), including 243 up-regulated genes and 355 down-regulated genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on all DEGs, and 900 GO terms and 52 pathways were found to be significantly enriched. Finally, 23 DEGs were randomly selected and confirmed by quantitative real-time polymerase chain reaction (qRT-PCR). Moreover, SFPS 191212 down-regulated the PI3K/Akt signal transduction pathway. Our results provide a framework for understanding the effect of SFPS 191212 on cancer cells and can serve as a resource for delineating the anti-tumor mechanisms of S. fusiforme.
Humans ; Leukemia, Erythroblastic, Acute ; Phosphatidylinositol 3-Kinases ; Polysaccharides/pharmacology* ; Sargassum ; Transcriptome

OBJECTIVETo investigate the expression of mDia1 (mammalian diaphanous 1)in platelet and the role of mDia1 or phosphatidylinositol 3-kinase (PI3K) in the process of thrombin-induced platelet aggregation.

METHODSThe extent of platelet aggregation was measured by a platelet aggregation system and the expression of mDia1 and its relation with F-actin in quiescent, spreading or aggregated platelets by Western blot.

RESULTSThere was no significant difference in mDia1 expression level between quiescent and activated platelets. mDia1 moved from a Triton-X100-soluble cytosolic fraction to insoluble cytoskeleton fraction after thrombin induced platelets aggregation. Anti-mDia1 antibody could inhibit this aggregation. PI3K inhibitor Wortmannin or Ly294002 inhibited the thrombin induced platelet aggregation and the above mentioned mDia1 translocation.

CONCLUSIONPI3-kinase mediates the thrombin-induced platelet aggregation through mDia1 pathway.

Actins ; Animals ; Blood Platelets ; metabolism ; Humans ; Phosphatidylinositol 3-Kinases ; Platelet Aggregation ; Platelet Aggregation Inhibitors ; pharmacology ; Thrombin ; 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.
Animals ; Rats ; Ischemic Stroke/drug therapy* ; Molecular Docking Simulation ; Network Pharmacology ; Endothelial Cells ; Phosphatidylinositol 3-Kinases ; Drugs, Chinese Herbal/pharmacology*

The present study aimed to explore the underlying mechanism of Wuling Capsules in the treatment of hepatic fibrosis(HF) through network pharmacology, molecular docking, and animal experiments. Firstly, the chemical components and targets of Wuling Capsules against HF were searched from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), Traditional Chinese Medicines Integrated Database(TCMID), GeneCards, and literature retrieval. The protein-protein interaction(PPI) network analysis was carried out on the common targets by STRING database and Cytoscape 3.9.1 software, and the core targets were screened, followed by Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses. Enrichment analysis was conducted on the core targets and the "drug-core component-target-pathway-disease" network was further constructed. Subsequently, molecular docking between core components and core targets was conducted using AutoDock Vina software to predict the underlying mechanism of action against HF. Finally, an HF model induced by CCl_4 was constructed in rats, and the general signs and liver tissue morphology were observed. HE and Masson staining were used to analyze the liver tissue sections. The effects of Wuling Capsules on the levels of inflammatory factors, hydroxyproline(HYP) levels, and core targets were analyzed by ELISA, RT-PCR, etc. A total of 445 chemical components of Wuling Capsules were screened, corresponding to 3 882 potential targets, intersecting with 1 240 targets of HF, and 47 core targets such as TNF, IL6, INS, and PIK3CA were screened. GO and KEGG enrichment analysis showed that the core targets mainly affected the process of cell stimulation response and metabolic regulation, involving cancer, PI3K-Akt, MAPK, and other signaling pathways. Molecular docking showed that the core components of Wuling Capsules, such as lucidenic acid K, ganoderic acid B, lucidenic acid N, saikosaponin Q2, and neocryptotanshinone, had high affinities with the core targets, such as TNF, IL6 and PIK3CA. Animal experiments showed that Wuling Capsules could reduce fat vacuole, inflammatory infiltration, and collagen deposition in rat liver, decrease the levels of inflammatory cytokines TNF-α, IL-6, and HYP, and downregulated the expressions of PI3K and Akt mRNA. This study suggests that the anti-HF effect of Wuling Capsules may be achieved by regulating the PI3K-Akt signaling pathway, reducing the levels of TNF-α and IL-6 inflammatory factors, and inhibiting the excessive deposition of collagen.
Animals ; Rats ; Interleukin-6 ; Network Pharmacology ; Animal Experimentation ; Tumor Necrosis Factor-alpha ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Proto-Oncogene Proteins c-akt ; Liver Cirrhosis/genetics* ; Medicine, Chinese Traditional ; Capsules ; Class I Phosphatidylinositol 3-Kinases ; Collagen ; Drugs, Chinese Herbal/pharmacology*