Analysis of therapeutic mechanism of Liushen Wan against colitis-associated colorectal cancer based on network pharmacology and validation in mice / 南方医科大学学报

OBJECTIVE@#To explore the therapeutic mechanism of Liushen Wan (LSW) against colitis-associated colorectal cancer (CAC) by network pharmacology.@*METHODS@#TCMSP, BATMAN-TCM, CNKI, PubMed, Genecards, OMIM, and TTD databases were used to obtain the related targets of LSW and CAC. The common targets of LSW and CAC were obtained using Venny online website. The PPI network was constructed using Cytoscape 3.8.2 to screen the core targets of LSW in the treatment of CAC. GO and KEGG enrichment analysis were conducted using DAVID database. The therapeutic effect of LSW on CAC was evaluated in a C57BL/6J mouse model of AOM/DSS-induced CAC by observing the changes in body weight, disease activity index, colon length, and size and number of the tumor. HE staining and RT-qPCR were used to analyze the effect of LSW on inflammatory mediators. Immunohistochemistry and TUNEL staining were used to evaluate the effect of LSW on the proliferation and apoptosis of AOM/DSS-treated colon tumor cells. Immunohistochemistry and Western blotting were used to detect the effects of LSW on the expression of TLR4 proteins in CAC mice.@*RESULTS@#Network pharmacology analysis identified 69 common targets of LSW and CAC, and 33 hub targets were screened in the PPI network. KEGG pathway enrichment analysis suggested that the effect of LSW on CAC was mediated by the Toll-like receptor signaling pathway. In the mouse model of AOM/DSS-induced CAC, LSW significantly inhibited colitis-associated tumorigenesis, reduced tumor number and tumor load (P < 0.05), obviously improved histopathological changes in the colon, downregulated the mRNA levels of proinflammatory cytokines, and inhibited the proliferation (P < 0.01) and promoted apoptosis of colon tumor cells (P < 0.001). LSW also significantly decreased TLR4 protein expression in the colon tissue (P < 0.05).@*CONCLUSION@#LSW can inhibit CAC in mice possibly by regulating the expression of TLR4 to reduce intestinal inflammation, inhibit colon tumor cell proliferation and promote their apoptosis.

Therapeutic mechanism of Shenbing Decoction Ⅲ for renal fibrosis in chronic kidney disease: a study with network pharmacology, molecular docking and validation in rats / 南方医科大学学报

OBJECTIVE@#To observe the effect of Shenbing Decoction Ⅲ for improving renal function and pathology in rats with 5/6 nephrectomy and analyze its therapeutic mechanism for renal fibrosis in chronic kidney disease using network pharmacology combined with molecular docking.@*METHODS@#Forty male SD rats were randomized into two groups to receive two-staged 5/6 nephrectomy (n=30) or sham operation (n=10), and 2 weeks after the final operation, serum creatinine level of the rats was measured. The rats with nephrectomy were further randomized into Shenbing Decoction Ⅲ group, losartan group and model group for daily treatment with the corresponding drugs via gavage starting at 1 week after 5/6 nephrectomy. After 16 weeks of treatment, serum creatinine and urea nitrogen levels of the rats were measured, and HE staining and Western blotting were used to examine the changes in renal pathology and fibrosis-related factors. Network pharmacology combined with molecular docking study was performed to explore the therapeutic mechanism Shenbing Decoction Ⅲ against renal fibrosis in chronic kidney disease, and Western blotting was used to verify the expressions of the core targets.@*RESULTS@#Compared with those in the model group, the rats receiving 5/6 nephrectomy and Shenbing Decoction Ⅲ treatment showed significantly reduced serum creatinine and urea nitrogen levels, lessened renal pathologies, and improvement of the changes in epithelial mesenchymal transition-related proteins. Network pharmacological analysis showed that the main active ingredients of Shenbing Decoction Ⅲ were acacetin, apigenin, eupatilin, quercetin, kaempferol and luteolin, and the key targets included STAT3, SRC, CTNNB1, PIK3R1 and AKT1. Molecular docking study revealed that the active ingredients of Shenbing Decoction Ⅲ had good binding activity to the key targets. Western blotting showed that in rats with 5/6 nephrectomy, treatment with Shenbing Decoction Ⅲ obviously restored the protein expression of STAT3, PI3K, and AKT in renal tissue.@*CONCLUSION@#Shenbing Decoction Ⅲ can reduce renal injury induced by 5/6 nephrectomy in rats, and its therapeutic effects are mediated possibly by its main pharmacologically active ingredients that alleviate renal fibrosis via modulating multiple targets including STAT3, PIK3R1, and AKT1.

UPLC-Q-TOF-MS/MS combined with network pharmacology for exploring antiinflammatory mechanism of Eurycoma longifolia / 南方医科大学学报

OBJECTIVE@#To explore the mechanisms that mediate the anti-inflammatory activity of Eurycoma longifolia.@*METHODS@#Kunming mouse models of xylene-induced ear swelling and lipopolysaccharide (LPS)-induced acute pneumonia were used to compare the anti- inflammatory activities of aqueous and ethanol extracts of Eurycoma longifolia. UPLC-Q-TOF-MS/MS was used to identify the chemical composition in the ethanol extract of Eurycoma longifolia, based on which the potential antiinflammatory targets of Eurycoma longifolia were screened using the databases including SwissADME, SwissTargetPrediction, and Genecards. The String database was used to generate the protein-protein interaction (PPI) network, and Cytoscape was used for network topology analysis and screening the core targets. The enrichment of the core targets was analyzed using Metascape database, the core components and targets were docked with Autodock software, and the docking results were visualized using Pymol software. In a RAW264.7 cell model of LPS-induced inflammation, the Griess reagent was used to measure NO level, and Western blotting was performed to detect the expression levels of MAPK1, JAK2, and STAT3 proteins to verify the anti- inflammatory mechanism of Eurycoma longifolia.@*RESULTS@#The ethanol extract (75%) of Eurycoma longifolia (ELE) was the active site, which contained a total of 37 chemical components. These chemical compounds and diseases had 541 targets, involving the JAK/STAT3, cAMP and other signaling pathways. Twelve indicator components were identified, which all showed good results of molecular docking with two core targets involved in the signaling pathways. In the cell validation experiment, treatment of the cells with low-, medium-, and high-dose ELE significantly reduced NO release in the cells, and ELE at the medium dose significantly decreased the cellular expressions of JAK2 and STAT3.@*CONCLUSION@#The anti-inflammatory activity of Eurycoma longifolia is attributed primarily to its active ingredients bitter lignin and alkaloids, which may regulate the JAK/STAT3 signaling pathway by targeting JAK2 and STAT3.

Therapeutic mechanism of Guizhi Gancao Decoction for heart failure: a network pharmacology-based analysis / 南方医科大学学报

OBJECTIVE@#To predict the targets and pathways in the therapeutic mechanism of Guizhi Gancao Decoction (GZGCD) against heart failure (HF) based on network pharmacology.@*METHODS@#The chemical components of GZGCD were analyzed using the databases including TCMSP, TCMID and TCM@Taiwan, and the potential targets of GZGCD were predicted using the SwissTargetPrediction database. The targets of HF were obtained using the databases including DisGeNET, Drugbank and TTD. The intersection targets of GZGCD and HF were identified using VENNY. Uniport database was used to convert the information, and the components-targets-disease network was constructed using Cytoscape software. The Bisogene plug-in, Merge plug-in, and CytoNCA plug-in in Cytoscape software were used for protein-protein interaction (PPI) analysis to acquire the core targets. Metascape database was used for GO and KEGG analysis. The results of network pharmacology analysis were verified with Western blot analysis. Three factors (PKCα, ERK1/2 and BCL2) were screened according to the degree value of network pharmacology results and the degree of correlation with heart failure process. The pentobarbtal sodium was dissolvein H9C2 cells treated with serum-free high glucose medium to simulate the ischemic anoxic environment of heart failure. The total proteins of myocardial cells were extracted. The protein contents of PKCα, ERK1/2 and BCL2 were determined.@*RESULTS@#We identified a total of 190 intersection targets between GZGCD and HF using Venny database, involving mainly the circulatory system process, cellular response to nitrogen compounds, cation homeostasis, and regulation of the MAPK cascade. These potential targets were also involved in 38 pathways, including the regulatory pathways in cancer, calcium signal pathway, cGMP-PKG signal pathway, and cAMP signal pathway. Western blot analysis showed that in an in vitro H9C2 cell model of HF, treatment with GZGCD downregulated PKCα and ERK1/2 expressions and upregulated BCL2 expression.@*CONCLUSION@#The therapeutic mechanism of GZGCD for HF involves multiple targets including PRKCA, PRKCB, MAPK1, MAPK3, and MAPK8 and multiple pathways including the regulatory pathway in cancer and the calcium signaling pathway.

Optimization of extraction process of Chuanxiong Rhizoma-Gastrodiae Rhizoma based on network pharmacology and multi-index orthogonal test / 中国中药杂志

To optimize the extraction process of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair by network pharmacology combined with analytic hierarchy process(AHP)-entropy weight method and multi-index orthogonal test. The potential active components and targets of Chuanxiong Rhizoma-Gastrodiae Rhizoma were screened by network pharmacology and molecular docking, and the process evaluation indexes were determined with reference to the Chinese Pharmacopoeia(2020 edition). The core components of Chuanxiong Rhizoma-Gastrodiae Rhizoma were determined as gastrodin, parishin B, parishin C, parishin E, ferulic acid, and 3-butylphthalide. With the extraction volume of each indicator and yield of dry extract as comprehensive evaluation indicators, the extraction conditions were optimized by the AHP-entropy weight method and orthogonal test as the ethanol volume of 50%, the solid-liquid ratio of 1∶8(g·mL~(-1)), extraction for three times, and 1.5 h each time. Through network pharmacology and molecular docking, the process evaluation index was determined, and the optimized process was stable and reproducible for the extraction of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair, which could provide reference for in-depth research.

Molecular mechanism of ginsenoside Rg_1 against radiation enteritis: based on network pharmacology and in vitro experiment / 中国中药杂志

Via network pharmacology, molecular docking, and cellular experiment, this study explored and validated the potential molecular mechanism of ginsenoside Rg_1(Rg_1) against radiation enteritis. Targets of Rg_1 and radiation enteritis were retrieved from BATMAN-TCM, SwissTargetPrediction, and GeneCards. Cytoscape 3.7.2 and STRING were employed for the construction of protein-protein interaction(PPI) network for the common targets, and screening of core targets. DAVID was used for Gene Ontology(GO) term and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment to predict the possible mechanism, followed by molecular docking of Rg_1 with core targets and cellular experiment. For the cellular experiment, ~(60)Co-γ irradiation was performed for mo-deling of IEC-6 cells, which were then treated with Rg_1, protein kinase B(AKT) inhibitor LY294002, and other drugs to verify the effect and mechanism of Rg_1. The results showed that 29 potential targets of Rg_1, 4 941 disease targets, and 25 common targets were screened out. According to the PPI network, the core targets were AKT1, vascular endothelial growth factor A(VEGFA), heat shock protein 90 alpha family class A member 1(HSP90AA1), Bcl-2-like protein 1(BCL2L1), estrogen receptor 1(ESR1), etc. The common targets were mainly involved in the GO terms such as positive regulation of RNA polymerase Ⅱ promoter transcription, signal transduction, positive regulation of cell proliferation, and other biological processes. The top 10 KEGG pathways included phosphoinositide 3-kinase(PI3K)/AKT pathway, RAS pathway, mitogen-activated protein kinase(MAPK) pathway, Ras-proximate-1(RAP1) pathway, and calcium pathway, etc. Molecular docking showed that Rg_1 had high binding affinity to AKT1, VEGFA, HSP90AA1, and other core targets. Cellular experiment indicated that Rg_1 can effectively improve cell viability and survival, decrease apoptosis after irradiation, promote the expression of AKT1 and B-cell lymphoma-extra large(BCL-XL), and inhibit the expression of the pro-apoptotic protein Bcl-2-associated X protein(BAX). In conclusion, through network pharmacology, molecular docking, and cellular experiment, this study verified the ability of Rg_1 to reduce radiation enteritis injury. The mechanism was that it regulated PI3K/AKT pathway, thereby suppressing apoptosis.

Mechanism of Marsdenia tenacissima against ovarian cancer based on network pharmacology and experimental verification / 中国中药杂志

The present study aimed to explore the main active components and underlying mechanisms of Marsdenia tenacissima in the treatment of ovarian cancer(OC) through network pharmacology, molecular docking, and in vitro cell experiments. The active components of M. tenacissima were obtained from the literature search, and their potential targets were obtained from SwissTargetPrediction. The OC-related targets were retrieved from Therapeutic Target Database(TTD), Online Mendelian Inheritance in Man(OMIM), GeneCards, and PharmGKB. The common targets of the drug and the disease were screened out by Venn diagram. Cytoscape was used to construct an "active component-target-disease" network, and the core components were screened out 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 out according to the node degree. GO and KEGG enrichment analyses of potential therapeutic targets were carried out with DAVID database. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock. Finally, the anti-OC activity of M. tenacissima extract was verified based on SKOV3 cells in vitro. The PI3K/AKT signaling pathway was selected for in vitro experimental verification according to the results of GO function and KEGG pathway analyses. Network pharmacology results showed that 39 active components, such as kaempferol, 11α-O-benzoyl-12β-O-acetyltenacigenin B, and drevogenin Q, were screened out, involving 25 core targets such as AKT1, VEGFA, and EGFR, and the PI3K-AKT signaling pathway was the main pathway of target protein enrichment. The results of molecular docking also showed that the top ten core components showed good binding affinity to the top ten core targets. The results of in vitro experiments showed that M. tenacissima extract could significantly inhibit the proliferation of OC cells, induce apoptosis of OC cells through the mitochondrial pathway, and down-regulate the expression of proteins related to the PI3K/AKT signaling pathway. This study shows that M. tenacissima has the characteristics of multi-component, multi-target, and multi-pathway synergistic effect in the treatment of OC, which provides a theoretical basis for in-depth research on the material basis, mechanism, and clinical application.

Safety evaluation of Tibetan medicine Qishiwei Zhenzhu Pills based on serum pharmacochemistry and network pharmacology / 中国中药杂志

To explore the mechanism of the active ingredients of Qishiwei Zhenzhu Pills in inhibiting the hepatorenal toxicity of the zogta component based on serum pharmacochemistry and network pharmacology, thereby providing references for the clinical safety application of Qishiwei Zhenzhu Pills. The small molecular compounds in the serum containing Qishiwei Zhenzhu Pills of mice were identified by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS). Then, by comprehensively using Traditional Chinese Medicines Systems Pharmacology(TCMSP), High-throughput Experiment-and Reference-guided Database(HERB), PubChem, GeneCards, SuperPred, and other databases, the active compounds in the serum containing Qishiwei Zhenzhu Pills were retrieved and their action targets were predicted. The predicted targets were compared with the targets of liver and kidney injury related to mercury toxicity retrieved from the database, and the action targets of Qishiwei Zhenzhu Pills to inhibit the potential mercury toxicity of zogta were screened out. Cytoscape was used to construct the active ingredient in Qishiwei Zhenzhu Pills-containing serum-action target network, and STRING database was used to construct the protein-protein interaction(PPI) network of intersection targets. The Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were carried out on the target genes by the DAVID database. The active ingredient-target-pathway network was constructed, and the key ingredients and targets were screened out for molecular docking verification. The results showed that 44 active compounds were identified from the serum containing Qishiwei Zhenzhu Pills, including 13 possible prototype drug ingredients, and 70 potential targets for mercury toxicity in liver and kidney were identified. Through PPI network topology analysis, 12 key target genes(HSP90AA1, MAPK3, STAT3, EGFR, MAPK1, APP, MMP9, NOS3, PRKCA, TLR4, PTGS2, and PARP1) and 6 subnetworks were obtained. Through GO and KEGG analysis of 4 subnetworks containing key target genes, the interaction network diagram of active ingredient-action target-key pathway was constructed and verified by molecular docking. It was found that taurodeoxycholic acid, N-acetyl-L-leucine, D-pantothenic acid hemicalcium, and other active ingredients may regulate biological functions and pathways related to metabolism, immunity, inflammation, and oxidative stress by acting on major targets such as MAPK1, STAT3, and TLR4, so as to inhibit the potential mercury toxicity of zogta in Qishiwei Zhenzhu Pills. In conclusion, the active ingredients of Qishiwei Zhenzhu Pills may have a certain detoxification effect, thus inhibiting the potential mercury toxicity of zogta and playing a role of reducing toxicity and enhancing effect.

Mechanism of Yanghe Decoction against subcutaneous tumor in pulmonary metastasis from breast cancer through HIF-1α signaling pathway regulating glycolysis:based on network pharmacology and animal experiment / 中国中药杂志

This study aims to explore the mechanism of Yanghe Decoction(YHD) against subcutaneous tumor in pulmonary metastasis from breast cancer, which is expected to lay a basis for the treatment of breast carcinoma with YHD. The chemical components of medicinals in YHD, and the targets of the components were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The disease-related targets were searched from GeneCards and Online Mendelian Inheritance in Man(OMIM). Excel was employed to screen the common targets and plot the Venn diagram. The protein-protein interaction network was constructed. R language was used for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment. A total of 53 female SPF Bablc/6 mice were randomized into normal group(same volume of normal saline, ig), model group(same volume of normal saline, ig), and low-dose and high-dose YHD groups(YHD, ig, 30 days), with 8 mice in normal group and 15 mice in each of the other groups. Body weight and tumor size was measured every day. Curves for body weight variation and growth of tumor in situ were plotted. In the end, the subcutaneous tumor sample was collected and observed based on hematoxylin and eosin(HE) staining. The mRNA and protein levels of hypoxia inducible factor-1α(HIF-1α), pyruvate kinase M2(PKM2), lactate dehydrogenase A(LDHA), and glucose transporter type 1(GLUT1) were detected by PCR and Western blot. A total of 213 active components of YHD and 185 targets against the disease were screened out. The hypothesis that YHD may regulate glycolysis through HIF-1α signaling pathway to intervene in breast cancer was proposed. Animal experiment confirmed that the mRNA and protein levels of HIF-1α, PKM2, LDHA, and GLUT1 in the high-and low-dose YHD groups were lower than those in the model group. YHD has certain inhibitory effect on subcutaneous tumor in pulmonary metastasis from breast cancer in the early stage, which may intervene pulmonary metastasis from breast cancer by regulating glycolysis through HIF-1α signaling pathway.

Network pharmacology approaches for research of Traditional Chinese Medicines / 中国天然药物

Pharmacodynamics material basis and effective mechanisms are the two main issues to decipher the mechnisms of action of Traditional Chinese medicines (TCMs) for the treatment of diseases. TCMs, in "multi-component, multi-target, multi-pathway" paradigm, show satisfactory clinical results in complex diseases. New ideas and methods are urgently needed to explain the complex interactions between TCMs and diseases. Network pharmacology (NP) provides a novel paradigm to uncover and visualize the underlying interaction networks of TCMs against multifactorial diseases. The development and application of NP has promoted the safety, efficacy, and mechanism investigations of TCMs, which then reinforces the credibility and popularity of TCMs. The current organ-centricity of medicine and the "one disease-one target-one drug" dogma obstruct the understanding of complex diseases and the development of effective drugs. Therefore, more attentions should be paid to shift from "phenotype and symptom" to "endotype and cause" in understanding and redefining current diseases. In the past two decades, with the advent of advanced and intelligent technologies (such as metabolomics, proteomics, transcriptomics, single-cell omics, and artificial intelligence), NP has been improved and deeply implemented, and presented its great value and potential as the next drug-discovery paradigm. NP is developed to cure causal mechanisms instead of treating symptoms. This review briefly summarizes the recent research progress on NP application in TCMs for efficacy research, mechanism elucidation, target prediction, safety evaluation, drug repurposing, and drug design.

Therapeutic Mechanism of Kai Xin San on Alzheimer's Disease Based on Network Pharmacology and Experimental Validation / 中国结合医学杂志

OBJECTIVE@#To explore the specific pharmacological molecular mechanisms of Kai Xin San (KXS) on treating Alzheimer's disease (AD) based on network pharmacology and experimental validation.@*METHODS@#The chemical compounds of KXS and their corresponding targets were screened using the Encyclopedia of Traditional Chinese Medicine (ETCM) database. AD-related target proteins were obtained from MalaCards database and DisGeNET databases. Key compounds and targets were identified from the compound-target-disease network and protein-protein interaction (PPI) network analysis. Functional enrichment analysis predicted the potential key signaling pathways involved in the treatment of AD with KXS. The binding affinities between key ingredients and targets were further verified using molecular docking. Finally, the predicted key signaling pathway was validated experimentally. Positioning navigation and space search experiments were conducted to evaluate the cognitive improvement effect of KXS on AD rats. Western blot was used to further examine and investigate the expression of the key target proteins related to the predicted pathway.@*RESULTS@#In total, 38 active compounds and 469 corresponding targets of KXS were screened, and 264 target proteins associated with AD were identified. The compound-target-disease and PPI networks identified key active ingredients and protein targets. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested a potential effect of KXS in the treatment of AD via the amyloid beta (A β)-glycogen synthase kinase-3 beta (GSK3 β)-Tau pathway. Molecular docking revealed a high binding affinity between the key ingredients and targets. In vivo, KXS treatment significantly improved cognitive deficits in AD rats induced by Aβ1-42, decreased the levels of Aβ, p-GSK3β, p-Tau and cyclin-dependent kinase 5, and increased the expressions of protein phosphatase 1 alpha (PP1A) and PP2A (P<0.05 or P<0.01).@*CONCLUSION@#KXS exerted neuroprotective effects by regulating the Aβ -GSK3β-Tau signaling pathway, which provides novel insights into the therapeutic mechanism of KXS and a feasible pharmacological strategy for the treatment of AD.

Ayurveda and in silico Approach: A Challenging Proficient Confluence for Better Development of Effective Traditional Medicine Spotlighting Network Pharmacology / 中国结合医学杂志

Coalescence of traditional medicine Ayurveda and in silico technology is a rigor for supplementary development of future-ready effective traditional medicine. Ayurveda is a popular traditional medicine in South Asia, emanating worldwide for the treatment of metabolic disorders and chronic illness. Techniques of in silico biology are not much explored for the investigation of a variety of bioactive phytochemicals of Ayurvedic herbs. Drug repurposing, reverse pharmacology, and polypharmacology in Ayurveda are areas in silico explorations that are needed to understand the rich repertoire of herbs, minerals, herbo-minerals, and assorted Ayurvedic formulations. This review emphasizes exploring the concept of Ayurveda with in silico approaches and the need for Ayurinformatics studies. It also provides an overview of in silico studies done on phytoconstituents of some important Ayurvedic plants, the utility of in silico studies in Ayurvedic phytoconstituents/formulations, limitations/challenges, and prospects of in silico studies in Ayurveda. This article discusses the convergence of in silico work, especially in the least explored field of Ayurveda. The focused coalesce of these two domains could present a predictive combinatorial platform to enhance translational research magnitude. In nutshell, it could provide new insight into an Ayurvedic drug discovery involving an in silico approach that could not only alleviate the process of traditional medicine research but also enhance its effectiveness in addressing health care.

Anti-inflammatory material basis and mechanism of Artemisia stolonifera based on UPLC-Q-TOF-MS combined with network pharmacology and molecular docking / 中国中药杂志

This study aimed to explore the anti-inflammatory material basis and molecular mechanism of Artemisia stolonifera based on the analysis of the chemical components in different extracted fractions of A. stolonifera and their antioxidant and anti-inflammatory effects in combination with network pharmacology and molecular docking. Thirty-two chemical components were identified from A. stolonifera by ultra-performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Among them, there were 7, 21 and 22 compounds in water, n-butanol and ethyl acetate fractions, respectively. The antio-xidant capacity of different extracted fractions was evaluated by measuring their scavenging ability against 1,1-diphenyl-2-picrylhydrazyl radical 2,2-diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl(DPPH) and 2,2'-azinobis-(3-ethylbenzthiazoline-6-sulphonic acid)(ABTS) free radicals and total antioxidant capacity [ferric reducing antioxidant power(FRAP) assay]. The inflammatory model of RAW264.7 cells was induced by lipopolysaccharide(LPS), and the levels of nitrite oxide(NO), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6) in the supernatant and the mRNA expression of related inflammatory factors in cells were used to evaluate the anti-inflammatory effects. The results revealed that ethyl acetate fraction of A. stolonifera was the optimal antioxidant and anti-inflammatory fraction. By network pharmacology, it was found that flavonoids such as rhamnazin, eupatilin, jaceosidin, luteolin and nepetin could act on key targets such as TNF, serine/threonine protein kinase 1(AKT1), tumor protein p53(TP53), caspase-3(CASP3) and epidermal growth factor receptor(EGFR), and regulate the phosphatidylinositol-3-kinase-protein kinase B(PI3K-AKT) and mitogen-activated protein kinase(MAPK) signaling pathways to exert the anti-inflammatory effects. Molecular docking further indicated excellent binding properties between the above core components and core targets. This study preliminarily clarified the anti-inflammatory material basis and mechanism of ethyl acetate fraction of A. stolonifera, providing a basis for the follow-up clinical application of A. stolonifera and drug development.

Anti-glioma mechanism of pterostilbene by regulating apoptosis and GSDME-mediated pyroptosis pathways: a study based on network pharmacology and experimental research / 中国中药杂志

This study aimed to explore the anti-glioma effect of natural compound pterostilbene(PTE) through regulating pyroptosis and apoptosis pathways, and to analyze the possible anti-glioma pathways and targets of PTE by network pharmacology and molecular docking. In this study, the action targets of PTE and the glioma targets were obtained by network pharmacology to construct a target network and a protein-protein interaction(PPI) network to predict the possible action targets of PTE against glioma. Molecular docking was performed on the core targets by AutoDock and the action pathways of PTE against glioma were predicted by enrichment analysis. In addition, the effect of PTE on the viability of U87MG and GL261 glioma cells was detected by CCK-8 assay. Clone formation assay and cell scratching assay were used to explore the effect of different concentrations of PTE on the proliferation and migration, respectively of glioma cells. Hoechst staining was used to observe PTE-induced apoptosis in glioma cells. The changes in mitochondrial membrane potential were detected by JC-1 staining. The pyroptosis-inducing effect of PTE on glioma cells was observed by inverted microscopy and lactate dehydrogenase(LDH) assay. Hoechst 33342/PI dual staining assay was performed to detect the integrity of glioma cell membranes. The expressions of pyroptosis and apoptosis-related proteins in glioma cells after PTE induction were determined by Western blot. In this study, 37 anti-glioma targets of PTE were obtained, and enrichment analysis suggested that PTE exerted anti-glioma effects through various signaling pathways including cancer pathway, proteoglycan in cancer, PI3K/AKT pathway, and apoptosis regulatory pathway. Molecular docking revealed that PTE had good binding activity with the main targets. Compared with the control group, PTE significantly reduced the viability as well as the proliferation, migration and adhesion abilities of U87MG and GL261 cells; it induced the apoptosis of the two glioma cells and the decrease of mitochondrial membrane potential in U87MG cells, and the effects increased with the increase of drug concentration. Compared with the conditions in the control group, glioma cells in the PTE group had increased pyroptosis-specific appearance and gradually increased LDH release; the number of PI positive cells was significantly elevated with the increase of PTE concentration as revealed by Hoechst 33342/PI staining; the expression levels of apoptosis-related factors cleaved PARP1 and B-cell lymphoma-2(Bcl-2) associated X(BAX) in the PTE group were markedly up-regulated, while the expression level of Bcl-2 was markedly down-regulated; the activation levels of pyroptosis-related proteins cleaved caspase-3 and gasdermin E-N(GSDME-N) had a remarkable rise in the PTE group, while no significant changes were found in the activation levels of gasdermin D-N(GSDMD-N) and cleaved caspase-1. In summary, PTE plays an anti-glioma role by inhibiting cell viability, proliferation, and migration and activating the caspase-3/GSDME-mediated pyroptosis pathway and mitochondrial apoptosis pathway.

Blaps rynchopetera affects proliferation, migration, and invasion of non-small cell lung cancer: a study based on network pharmacology and in vivo and in vitro experiments / 中国中药杂志

Network pharmacology, molecular docking, and in vivo and in vitro experiments were employed to study the molecular mechanism of Blaps rynchopetera Fairmaire in the treatment of non-small cell lung cancer(NSCLC). The components of B. rynchopetera were collected by literature review, and the active components were screened out through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). PharmMapper was used to obtain the targets of the active components. The targets of NSCLC were obtained from DrugBank, GeneCards, OMIM, TTD, and PharmGKB. The Venn diagram was drawn to identify the common targets shared by the active components of B. rynchopetera and NSCLC. The "drug component-target" network and protein-protein interaction(PPI) network were constructed by Cytoscape, and the key targets were screened by Centiscape. Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment of the above key targets were performed by DAVID. AutoDock and PyMOL were used for the molecular docking between the key targets and corresponding active components. A total of 31 active components, 72 potential targets, and 11 key targets of B. rynchopetera against NSCLC were obtained. The active components of B. rynchopetera had good binding activity with key targets. Further, the serum containing B. rynchopetera was prepared and used to culture human lung adenocarcinoma A549 cells. The CCK-8 assay was employed to determine the inhibition rates on the growth of A549 cells in blank control group and those exposed to different concentrations of B. rynchopetera-containing serum, cisplatin, and drug combination(B. rynchopetera-containing serum+cisplatin) for different time periods. The cell migration and invasion of A549 cells were detected by cell scratch assay and Transwell assay, respectively. Western blot was employed to determine the expression levels of B-cell lymphoma-2(Bcl-2), Bcl-2-associated X(Bax), caspase-3, cell division cycle 42(CDC42), proto-oncogene tyrosine-protein kinase SRC, and vascular endothelial growth factor(VEGF) in A549 cells. C57BL/6 mice were inoculated with Lewis cells and randomly assigned into a model control group, a B. rynchopetera group, a cisplatin group, and a drug combination(B. rynchopetera+cisplatin) group, with 12 mice per group. The body weight and the long diameter(a) and short diameter(b) of the tumor were monitored every other day during treatment, and the tumor volume(mm~3) was calculated as 0.52ab~2. After 14 days of continuous medication, the mice were sacrificed for the collection of tumor, spleen, and thymus, and the tumor inhibition rate and immune organ indexes were calculated. The tissue morphology of tumors was observed by hematoxylin-eosin(HE) staining, and the positive expression of Bax, Bcl-2, caspase-3, CDC42, SRC, and VEGF in the tumor tissue was detected by immunohistochemistry. The results indicated that B. rynchopetera and the drug combination regulated the expression levels of Bax, Bcl-2, caspase-3, CDC42, SRC, and VEGF to inhibit the proliferation, migration, and invasion of A549 cells and Lewis cells, thus playing a role in the treatment of NSCLC via multiple ways.

Active components and mechanism of Jinwugutong Capsules in treatment of osteoporosis: a study based on UPLC-Q-Exactive-MS/MS combined with network pharmacology / 中国中药杂志

UPLC-Q-Exactive-MS/MS and network pharmacology were employed to preliminarily study the active components and mechanism of Jinwugutong Capsules in the treatment of osteoporosis. Firstly, UPLC-Q-Exactive-MS/MS was employed to characterize the chemical components of Jinwugutong Capsules, and network pharmacology was employed to establish the "drug-component-target-pathway-disease" network. The key targets and main active components were thus obtained. Secondly, AutoDock was used for the molecular docking between the main active components and key targets. Finally, the animal model of osteoporosis was established, and the effect of Jinwugutong Capsules on the expression of key targets including RAC-alpha serine/threonine-protein kinase(AKT1), albumin(ALB), and tumor necrosis factor-alpha(TNF-α) was determined by enzyme-linked immunosorbent assay(ELISA). A total of 59 chemical components were identified from Jinwugutong Capsules, among which coryfolin, 8-prenylnaringenin, demethoxycurcumin, isobavachin, and genistein may be the main active components of Jinwugutong Capsules in treating osteoporosis. The topological analysis of the protein-protein interaction(PPI) network revealed 10 core targets such as AKT1, ALB, catenin beta 1(CTNNB1), TNF, and epidermal growth factor receptor(EGFR). The Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment showed that Jinwugutong Capsules mainly exerted the therapeutic effect by regulating the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT) signaling pathway, neuroactive ligand-receptor interaction, mitogen-activated protein kinase(MAPK) signaling pathway, Rap1 signaling pathway and so on. Molecular docking showed that the main active components of Jinwugutong Capsules well bound to the key targets. ELISA results showed that Jinwugutong Capsules down-regulated the protein levels of AKT1 and TNF-α and up-regulated the protein level of ALB, which preliminarily verified the reliability of network pharmacology. This study indicates that Jinwugutong Capsules may play a role in the treatment of osteoporosis through multiple components, targets, and pathways, which can provide reference for the further research.

Mechanism of Xuebijing Injection in treatment of sepsis-associated ARDS based on network pharmacology and in vitro experiment / 中国中药杂志

The aim of this study was to investigate the effect and molecular mechanism of Xuebijing Injection in the treatment of sepsis-associated acute respiratory distress syndrome(ARDS) based on network pharmacology and in vitro experiment. The active components of Xuebijing Injection were screened and the targets were predicted by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). The targets of sepsis-associated ARDS were searched against GeneCards, DisGeNet, OMIM, and TTD. Weishengxin platform was used to map the targets of the main active components in Xuebijing Injection and the targets of sepsis-associated ARDS, and Venn diagram was established to identify the common targets. Cytoscape 3.9.1 was used to build the "drug-active components-common targets-disease" network. The common targets were imported into STRING for the building of the protein-protein interaction(PPI) network, which was then imported into Cytoscape 3.9.1 for visualization. DAVID 6.8 was used for Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment of the common targets, and then Weishe-ngxin platform was used for visualization of the enrichment results. The top 20 KEGG signaling pathways were selected and imported into Cytoscape 3.9.1 to establish the KEGG network. Finally, molecular docking and in vitro cell experiment were performed to verify the prediction results. A total of 115 active components and 217 targets of Xuebijing Injection and 360 targets of sepsis-associated ARDS were obtained, among which 63 common targets were shared by Xuebijing Injection and the disease. The core targets included interleukin-1 beta(IL-1β), IL-6, albumin(ALB), serine/threonine-protein kinase(AKT1), and vascular endothelial growth factor A(VEGFA). A total of 453 GO terms were annotated, including 361 terms of biological processes(BP), 33 terms of cellular components(CC), and 59 terms of molecular functions(MF). The terms mainly involved cellular response to lipopolysaccharide, negative regulation of apoptotic process, lipopolysaccharide-mediated signaling pathway, positive regulation of transcription from RNA polyme-rase Ⅱ promoter, response to hypoxia, and inflammatory response. The KEGG enrichment revealed 85 pathways. After diseases and generalized pathways were eliminated, hypoxia-inducible factor-1(HIF-1), tumor necrosis factor(TNF), nuclear factor-kappa B(NF-κB), Toll-like receptor, and NOD-like receptor signaling pathways were screened out. Molecular docking showed that the main active components of Xuebijing Injection had good binding activity with the core targets. The in vitro experiment confirmed that Xuebijing Injection suppressed the HIF-1, TNF, NF-κB, Toll-like receptor, and NOD-like receptor signaling pathways, inhibited cell apoptosis and reactive oxygen species generation, and down-regulated the expression of TNF-α, IL-1β, and IL-6 in cells. In conclusion, Xuebijing Injection can regulate apoptosis and response to inflammation and oxidative stress by acting on HIF-1, TNF, NF-κB, Toll-like receptor, and NOD-like receptor signaling pathways to treat sepsis-associated ARDS.

Potential components and mechanism of Liangxue Tuezi Mixture in treating Henoch-Schönlein purpura based on network pharmacology and metabolomics / 中国中药杂志

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.

Integrated strategy for biomarkers of stable coronary heart disease with phlegm and blood stasis syndrome based on RNA-seq and network pharmacology / 中国中药杂志

This study aimed to analyze the biological foundation and biomarkers of stable coronary heart disease(CHD) with phlegm and blood stasis(PBS) syndrome based on RNA-seq and network pharmacology. Peripheral blood nucleated cells from five CHD patients with PBS syndrome, five CHD patients with non-PBS syndrome, and five healthy adults were collected for RNA-seq. The specific targets of CHD with PBS syndrome were determined by differential gene expression analysis and Venn diagram analysis. The active ingredients of Danlou Tablets were screened out from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the "component-target" prediction was completed through PubChem and SwissTargetPrediction. The "drug-ingredient-target-signaling pathway" network of Danlou Tablets against CHD with PBS syndrome was optimized by Cytoscape software. After the target biomarkers were identified, 90 participants were enrolled for diagnostic tests, and 30 CHD patients with PBS syndrome were included in before-and-after experiment to determine the therapeutic effect of Danlou Tablets on those targets. As revealed by RNA-seq and Venn diagram analysis, 200 specific genes were identified for CHD with PBS syndrome. A total of 1 118 potential therapeutic targets of Danlou Tablets were predicted through network pharmacology. Through integrated analysis of the two gene sets, 13 key targets of Danlou Tablets in the treatment of CHD with PBS syndrome were screened out, including CSF1, AKR1C2, PDGFRB, ARG1, CNR2, ALOX15B, ALDH1A1, CTSL, PLA2G7, LAP3, AKR1C3, IGFBP3, and CA1. They were presumably the biomarkers of CHD with PBS syndrome. The ELISA test further showed that CSF1 was significantly up-regulated in the peripheral blood of CHD patients with PBS syndrome, and was significantly down-regulated after Danlou Tablets intervention. CSF1 may be a biomarker for CHD with PBS syndrome, and it is positively correlated with the severity of the disease. The diagnostic cut-off of CSF1 for CHD with PBS syndrome was 286 pg·mL~(-1).

Network Pharmacology and in vitro Experimental Verification on Intervention of Quercetin, Present in Chinese Medicine Yishen Qutong Granules, on Esophageal Cancer / 中国结合医学杂志

OBJECTIVE@#To explore the potential mechanism of Yishen Qutong Granules (YSQTG) for the treatment of esophageal cancer using network pharmacology and experimental research.@*METHODS@#The effective components and molecular mechanism of YSQTG in treating esophageal cancer were expounded based on network pharmacology and molecular docking. The key compound was identified by high-performance liquid chromatography and mass spectrometry (HPLC-MS) to verify the malignant phenotype of the key compounds in the treatment of esophageal cancer. Then, the interaction proteins of key compounds were screened by pull-down assay combined with mass spectrometry. RNA-seq was used to screen the differential genes in the treatment of esophageal cancer by key compounds, and the potential mechanism of key compounds on the main therapeutic targets was verified.@*RESULTS@#Totally 76 effective compounds of YSQTG were found, as well as 309 related targets, and 102 drug and disease interaction targets. The drug-compound-target network of YSQTG was constructed, suggesting that quercetin, luteolin, wogonin, kaempferol and baicalein may be the most important compounds, while quercetin had higher degree value and degree centrality, which might be the key compound in YSQTG. The HPLC-MS results also showed the stable presence of quercetin in YSQTG. By establishing a protein interaction network, the main therapeutic targets of YSQTG in treating esophageal cancer were Jun proto-oncogene, interleukin-6, tumor necrosis factor, and RELA proto-oncogene. The results of cell function experiments in vitro showed that quercetin could inhibit proliferation, invasion, and clonal formation of esophageal carcinoma cells. Quercetin mainly affected the biological processes of esophageal cancer cells, such as proliferation, cell cycle, and cell metastasis. A total of 357 quercetin interacting proteins were screened, and 531 genes were significantly changed. Further pathway enrichment analysis showed that quercetin mainly affects the metabolic pathway, MAPK signaling pathway, and nuclear factor kappa B (NF- κ B) signaling pathway, etc. Quercetin, the key compound of YSQTG, had stronger binding activity by molecular docking. Pull-down assay confirmed that NF- κ B was a quercetin-specific interaction protein, and quercetin could significantly reduce the protein level of NF- κ B, the main therapeutic target.@*CONCLUSION@#YSQTG can be multi-component, multi-target, multi-channel treatment of esophageal cancer, it is a potential drug for the treatment of esophageal cancer.