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1.
Journal of Prevention and Treatment for Stomatological Diseases ; (12): 178-187, 2024.
Article in Chinese | WPRIM | ID: wpr-1006519

ABSTRACT

Objective@#To explore the molecular mechanism of resveratrol (RES) in the treatment of oral squamous cell carcinoma (OSCC) through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.@*Methods@#The Swiss Target Prediction(http://www.swisstargetprediction.ch), SEA (http://sea.bkslab.org)database, and Pharm mapper database(http://lilab-ecust.cn) were used to retrieve RES-related targets, and the DISGENET (www.disgenet.org), OMIM (https://omim.org) and GeneCards (https://www.genecards.org) databases were used to screen OSCC disease targets. The intersection of drugs and disease targets was determined, and Cytoscape 3.7.2 software was used to construct a "drug-diseasetarget pathway" network. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to construct a target protein interaction network, and the DAVID database was used for enrichment analysis of key proteins. Finally, molecular docking validation of key proteins was performed using AutoDock and PyMOL. The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC; western blot was used to determine the effect of resveratrol at different concentrations (50, 100) μmol/L on the expression of Src tyrosine kinase (SRC), epidermal growth factor receptor (EGFR), estrogen receptor gene 1 (ESR1), and phosphatidylinositol 3 kinase/protein kinase B (PI3K/AKT) signaling pathway proteins in OSCC HSC-3 cells.@*Results@#A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified. A total of 116 potential common targets were obtained by intersecting drugs with disease targets. These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation, peptide tyrosine phosphorylation, transmembrane receptor protein tyrosine kinase signaling pathway, and positive regulation of RNA polymerase Ⅱ promoter transcription, and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects. The docking results of resveratrol with OSCC molecules indicated that key targets, such as EGFR, ESR1, and SRC, have good binding activity. The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC, EGFR, ESR1, p-PI3K, and p-AKT in HSC-3 cells in a dose-dependent manner.@*Conclusion@#RES can inhibit the expression of its targets EGFR, ESR1, SRC, p-PI3K, and p-AKT in OSCC cells.

2.
Journal of Prevention and Treatment for Stomatological Diseases ; (12): 89-100, 2024.
Article in Chinese | WPRIM | ID: wpr-1006353

ABSTRACT

Objective@#To investigate the potential caries prevention mechanism of the Xinjiang Mori cortex and to analyze its effect on the main cariogenic bacteria.@*Methods@#The active components of the Xinjiang Mori cortex and the main targets were predicted and screened using the TCMSP database. The GeneCards, DisGENET and TTD databases were used to obtain caries-related targets. The common targets were derived, and core genes were screened. The enrichment analysis was performed using the DAVID data platform. Molecular docking was performed using AutoDock software. In in vitro antibacterial experiments, first, the 50% minimum inhibitory concentration (MIC50) and the minimum bactericidal concentration (MBC) of the Xinjiang Mori Cortex extract against Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus were determined and the growth curves were measured. The effects of the Xinjiang Mori Cortex extract on acid production, polysaccharide production and adhesion ability of Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus in the planktonic state were determined. The 50% minimum biofilm inhibition concentration (MBIC50) and 50% minimum biofilm reduction concentration (MBRC50) were determined by crystal violet staining, and biofilm morphology was visualized using scanning electron microscopy (SEM).@*Results@#The main active components of the Xinjiang Mori cortex included quercetin, kaempferol, and β-sitosterol. Tumor necrosis factor (TNF), interleukin-6 (IL-6), and interleukin-1beta (IL-1β) could be the most important targets of the Xinjiang Mori cortex for the prevention of dental caries. The enrichment analysis results showed that Mori cortex extract may have effects on the AGE-RAGE signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. The antibacterial experiment results showed that the MIC50 values of Xinjiang Mori Cortex extract against Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus were 0.5, 0.5 and 0.25 mg/mL, respectively, and the MBCs were 4.0, 2.0 and 1.0 mg/mL, respectively. The inhibitory effect of Xinjiang Mori Cortex extract on the acid production, polysaccharide production and adhesion ability of three major cariogenic bacteria in the planktonic state was stronger than that of the control group, and the differences were statistically significant (P<0.05). The MBIC50 was 1.0, 1.0, and 0.5 mg/mL, and the MBRC50 was 4.0, 4.0, and 2.0 mg/mL. SEM observation showed that the amount of biofilm formation decreased with the drug concentration compared with the control group.@*Conclusion@#Xinjiang Mori cortex extract can prevent caries through quercetin, kaempferol, and β-sitosterol active ingredients, TNF、IL-6、IL-1β key targets and multiple pathways and inhibit the growth, acid production, polysaccharide production, and adhesion ability of three major cariogenic bacteria in the planktonic state and has some inhibitory effect on corticogenic biofilm formation.

3.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 176-185, 2024.
Article in Chinese | WPRIM | ID: wpr-1006283

ABSTRACT

In order to promote the innovative application of Sanjiao theory and Yingwei theory, this paper tries to apply the ''Sanjiao-Yingwei'' Qi transformation theory to the treatment of tumor diseases, integrating it with T cell exhaustion mechanism to elaborate on its scientific connotation and using network pharmacology and bioinformatics to elucidate the correlation between the anti-tumor mechanism of ''Sanjiao-Yingwei'' Qi transformation and T cell exhaustion. The ''Sanjiao-Yingwei'' Qi transformation function is closely related to the immunometabolic ability of the human body, and the ''Sanjiao-Yingwei'' Qi transformation system constitutes the immunometabolic exchange system within and outside the cellular environment. Cancer toxicity is generated by the fuzzy Sanjiao Qi, and the long-term fuzzy Sanjiao Qi is the primary factor leading to T cell exhaustion, which is related to the long-term activation of T cell receptors by the high tumor antigen load in the tumor microenvironment. Qi transformation malfunction of the Sanjiao produces phlegm and collects stasis, which contributes to T cell exhaustion and is correlated with nutrient deprivation, lipid accumulation, and high lactate levels in the immunosuppressed tumor microenvironment, as well as with the release of transforming growth factor-β and upregulated expression of programmed death receptor-1 by tumor-associated fibroblasts and platelets in the tumor microenvironment. Ying and Wei damage due to Sanjiao Qi transformation malfunction is similar to the abnormal manifestations such as progressive loss of exhausted T cell effector function and disturbance of cellular energy metabolism. Guizhi decoction, Shengming decoction, and Wendan decoction can correct T cell exhaustion and exert anti-tumor effects through multi-target and multi-pathways by regulating ''Sanjiao-Yingwei'' Qi transformation, and hypoxia inducible factor-1α (HIF-1α) may be one of the main pathways to correct T cell exhaustion. It was found that HIF-1α may be one of the important prognostic indicators in common tumors by bioinformatics. The use of the ''Sanjiao-Yingwei'' Qi transformation method may play an important part in improving the prognosis of tumor patients in clinical practice.

4.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 72-79, 2024.
Article in Chinese | WPRIM | ID: wpr-1006270

ABSTRACT

ObjectiveTo study the mechanism of astragaloside Ⅳ (AS Ⅳ) on db/db mice with type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD) based on network pharmacology and experimental validation. MethodA total of 24 db/db mice were randomly divided into four groups: model group, metformin group, and low-dose and high-dose AS Ⅳ groups. Six C57 mice were used as the blank group. The low-dose and high-dose AS Ⅳ groups were given AS Ⅳ of 0.015 and 0.030 g·kg-1 by gavage, and the metformin group was given 0.067 g·kg-1 by gavage. The blank and model groups were given equal volumes of distilled water by gavage. After intragastric administration, fasting blood glucose (FBG) was detected, and an oral glucose tolerance test was performed. Serum lipid level and liver histopathology were detected. The target and enrichment pathway of AS Ⅳ for treating T2DM and NAFLD were predicted by network pharmacology, and the main enrichment pathway was verified by molecular biology techniques. The protein expressions of AMPK, p-AMPK, sterol regulatory element-binding protein-1 (SREBP-1), and fatty acid synthetase (FAS) in liver tissue were detected by Western blot. ResultCompared with the blank group, the levels of body mass, liver weight coefficient, fasting blood glucose, serum total cholesterol, triglyceride, and low-density lipoprotein cholesterol in mice treated with AS Ⅳ were decreased (P<0.05, P<0.01). The pathology of liver tissue showed significant improvement in lipid accumulation, and imaging results showed that the degree of fatty liver was reduced after AS Ⅳ therapy. Network pharmacological prediction results showed that vascular endothelial growth factor α (VEGFA), galactoagglutinin 3 (LGALS3), serine/threonine kinase B2 (Akt2), RHO-associated coiled-coil protein kinase 1 (ROCK1), serine/threonine kinase B1 (Akt1), signaling and transcriptional activator protein (STAT3), and messtimal epidermal transformation factor (MET) were key targets in "drug-disease" network. The results from the Kyoto encyclopedia of genes and genomes (KEGG) enrichment showed that the AMP-dependent protein kinase (AMPK) signaling pathway was strongly associated with T2DM and NAFLD. Western blot results showed that compared with the blank group, the expression levels of p-AMPK/AMPK in the model group were significantly down-regulated, while those of SREBP-1 and FAS proteins were significantly up-regulated (P<0.01). Compared with the model group, the expression levels of p-AMPK/AMPK in the metformin group and high-dose AS Ⅳ group were significantly up-regulated, while those of SREBP-1 and FAS proteins were significantly down-regulated (P<0.05, P<0.01). ConclusionAS Ⅳ regulates the expression of lipid proteins by activating the AMPK signaling pathway, thereby improving lipid metabolism.

5.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 28-34, 2024.
Article in Chinese | WPRIM | ID: wpr-1006265

ABSTRACT

ObjectiveTo establish an ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry(UHPLC-QqQ-MS) for determination of the active ingredients in Erdongtang, and to predict the targets and pathways of anti-insulin resistance action of this formula. MethodThe analysis was performed on an ACQUITY UPLC BEH C18 column(2.1 mm×100 mm, 1.7 μm) with the mobile phase of 0.1% formic acid aqueous solution(A)-acetonitrile(B) for gradient elution(0-3 min, 90%-87%A; 3-6 min, 87%-86%A; 6-9 min, 86%-83%A; 9-11 min, 83%-75%A; 11-18 min, 75%-70%A; 18-19 min, 70%-52%A; 19-22 min, 52%A; 22-25 min, 52%-5%A; 25-27 min, 5%-90%A; 27-30 min, 90%A). The contents of active ingredients in Erdongtang was detected by electrospray ionization(ESI) and multiple reaction monitoring(MRM) mode under positive and negative ion modes. On this basis, network pharmacology was applied to predict the targets and pathways of Erdongtang exerting anti-insulin resistance effect. ResultThe 20 active ingredients in Erdongtang showed good linear relationships within a certain mass concentration range, and the precision, stability, repeatability and recovery rate were good. The results of determination showed that the ingredients with high content in 15 batches of samples were baicalein(1 259.39-1 635.78 mg·L-1), baicalin(1 078.37-1 411.52 mg·L-1), the ingredients with medium content were mangiferin(148.59-217.04 mg·L-1), timosaponin BⅡ(245.10-604.89 mg·L-1), quercetin-3-O-glucuronide(89.30-423.26 mg·L-1), rutin(46.91-1 553.61 mg·L-1), glycyrrhizic acid(55.97-391.47 mg·L-1), neomangiferin(37.45-127.03 mg·L-1), nuciferine(0.89-63.48 mg·L-1), hyperoside(6.96-136.78 mg·L-1), liquiritin(30.89-122.78 mg·L-1), liquiritigenin(26.64-110.67 mg·L-1), protodioscin(58.57-284.26 mg·L-1), the ingredients with low content were wogonin(7.16-20.74 mg·L-1), pseudoprotodioscin(5.49-22.96 mg·L-1), ginsenoside Rb1(7.31-23.87 mg·L-1), ginsenoside Rg1(10.78-28.33 mg·L-1), ginsenoside Re(7.78-24.76 mg·L-1), ophiopogonin D(2.08-4.29 mg·L-1), methylophiopogonanone A(0.74-1.67 mg·L-1). The results of network pharmacology indicated that the mechanism of anti-insulin resistance exerted by Erdongtang might be related to the phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt) signaling pathway. ConclusionThe established UHPLC-QqQ-MS has the advantages of simple sample processing, strong exclusivity and high sensitivity, and can simultaneously determine the contents of the main ingredients from seven herbs in Erdongtang, which can lay the foundation for the development of Erdongtang compound preparations. The results of the network pharmacology can provide a reference for the mechanism study of Erdongtang in the treatment of type 2 diabetes mellitus.

6.
Journal of Pharmaceutical Practice ; (6): 24-31, 2024.
Article in Chinese | WPRIM | ID: wpr-1005423

ABSTRACT

Objective To investigate the mechanism of Qizhenziyin mixture in the treatment of hypogonadism by using the network pharmacology approach. Methods The active components of Qizhenziyin mixture were obtained by searching TCMSP ,TCMID and HIT databases.The related targets of candidate compounds were obtained by searching STITCH databases. The potential targets of Qizhenziyin mixture in the treatment of hypogonadism were obtained by mapping the disease genes of hypogonadism with Genecards and DisGeNet databases. The protein interaction platform database (STRING) was used to construct the interaction relationship between action targets. The target protein interaction (PPI) network was constructed by introducing Cytoscape software. The mechanism of Qizhenziyin mixture in the treatment of hypogonadism was explained through the enrichment analysis of GO, KEGG and molecular docking technology. Results A total of 148 drug-disease chemical compounds, 96 drug-disease intersection targets, 1085 disease targets were obtained;the components for treating diseases are: quercetin,kaempferol, luteolin, etc; enrichment analysis of GO revealed 1792 biological processes (BP), 31 cellular components (CC) and 79 molecular functions (MF);the results of KEGG pathway enrichment analysis indicated such as FOXO signaling pathway, prostate cancer, AGE-RAGE signaling pathway in diabetic complications, HIF-1 signaling pathway, etc.The results of molecular docking showed that kaempferol and LEP had the best and stable binding energy. Conclusion The active components of Qizhenziyin mixture may play a role of the treatment of hypogonadism by improving insulin resistance and the expression of testosterone synthetase of Leydig cells.

7.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 124-132, 2024.
Article in Chinese | WPRIM | ID: wpr-1003774

ABSTRACT

ObjectiveTo analyze the antidepressant quality markers(Q-Marker) of Bupleuri Radix(BP) before and after vinegar-processing by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS), multivariate statistical analysis and network pharmacology. MethodUPLC-Q-TOF-MS was used to analyze the chemical basis of raw and vinegar-processed products of BP, and principal component analysis(PCA) orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to identify the differential components in BP that changed significantly before and after vinegar-processing, which were regarded as candidate quality markers(Q-Marker). Then the disease-drug-component-target network related to antidepressant effect of BP was constructed by network pharmacology, and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined. Rats were randomly divided into blank group, model group, fluoxetine group(2.67 mg·kg-1) and total saponin group(0.72 mg·kg-1), except the blank group, rats in the other groups were subjected to chronic unpredictable mild stress(CUMS). Three weeks after the start of modeling, rats in each administration group were given the corresponding dose of drugs once a day for 4 weeks, and rats in the blank and model groups were given normal saline with dose of 10 mL·kg-1. At 1 day before modeling, 21 days and 28 days after administration, body mass weighing, sucrose preference test and open field test were performed on each group . After 28 days of administration, real-time fluorescence quantitative polymerase chain reaction(Real-time PCR) was used to detect the mRNA expression levels of phosphatidylinositol 3-kinase(PI3K), protein kinase B(Akt), mammalian target of rapamycin(mTOR), glycogen synthase kinase-3β(GSK-3β), forkhead box transcription factor O3a(FoxO3a) and β-catenin in hippocampal tissues of rats in each group, while protein expression levels of PI3K, Akt, mTOR and FoxO3a in hippocampal tissues of rats in each group were detected by Western blot. ResultThere were 19 components in BP showed significant changes before and after vinegar-processing, and 9 components such as saikosaponin A, saikosaponin B1, saikosaponin B2, saikosaponin C and saikosaponin D were identified as potential Q-Marker through S-plot differential marker screening. Combined with the disease-drug-component-target network, saikosaponin A, saikosaponin B1, saikosaponin B2 and saikosaponin D were identified as antidepressant Q-Marker of raw and vinegar-processed products of BP. According to the results of pharmacodynamic tests, after 28 d of administration, compared with the blank group, the body mass, sucrose preference index and open field total score of rats in model group, fluoxetine group and total saponin group decreased significantly(P<0.01). Compared with the model group, the body mass, sucrose preference index and open field total score in total saponin group increased significantly(P<0.01). Compared with the blank group, mRNA expression levels of PI3K, Akt, mTOR and β-catenin in hippocampus of rats in the model group decreased significantly(P<0.05), while mRNA expression levels of GSK-3β and FoxO3a increased significantly(P<0.05). Compared with the model group, mRNA expression levels of PI3K, Akt, mTOR and β-catenin in hippocampus of rats in the total saponin group were increased significantly(P<0.05), while mRNA expression levels of GSK-3β and FoxO3a decreased significantly(P<0.05). Compared with the blank group, the protein expression levels of Akt and mTOR in hippocampus of the model group decreased significantly(P<0.01), while the protein expression levels of PI3K and FoxO3a increased significantly(P<0.01). Compared with the model group, the expression level of Akt in hippocampus of the total saponin group increased significantly(P<0.01), the mTOR expression level was increased but not statistically significant, while the protein expression levels of PI3K and FoxO3a decreased significantly(P<0.01). ConclusionThe chemical constituents of BP changed greatly after vinegar-processing, and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined by chemical basis, pharmacodynamics, network pharmacology and signaling pathway, which provided a reference for further research on quality control, pharmacodynamic substance basis and processing mechanism of BP.

8.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 198-207, 2024.
Article in Chinese | WPRIM | ID: wpr-999177

ABSTRACT

The efficacy of traditional Chinese medicine (TCM) and compound prescriptions is confirmed based on practical experience. It is a highly generalized expression of the clinical characteristics and scope of prescriptions and a unique expression of the medical effects of TCM. Network pharmacology, as a cross-disciplinary field based on the theory of systems biology and multi-level analysis of biological systems, has become a common virtual screening tool in TCM research and gradually developed with the progress in big data and artificial intelligence. In the context of modern medicine, the efficacy of TCM compound prescriptions has a vague concept and lacks scientific evidence. Elucidating the connotation of TCM efficacy and guiding TCM theoretical research has become one of the hotspots and difficulties in TCM research. This article explores the feasibility of using network pharmacology for the research on the efficacy of TCM compound prescriptions and investigates whether the research results can represent part of the efficacy of prescriptions. Furthermore, the research platforms and algorithms in this field are summarized. The research ideas and existing problems in this field are proposed from the aspects of efficacy concept embodiment, target screening, result verification, efficacy network building, and homogenization avoiding of network pharmacology research results. Finally, the future development directions are prospected. This article is expected to provide a reference for exploring the modern biological basis of the efficacy of TCM and compound prescriptions and for the clinical application and theoretical research of TCM.

9.
Indian J Biochem Biophys ; 2023 Feb; 60(2): 108-121
Article | IMSEAR | ID: sea-221619

ABSTRACT

Polycystic Ovary Syndrome (PCOS) is one of the most prevalent endocrine disorder in women of reproductive age characterized by hyperandrogenism (HA). Current treatment options for PCOS are either with adverse effects or ineffective. Saptasaram kashayam (SK), an ayurvedic formulation is often been a safe traditional alternative medicine to improve the PCOS symptoms as well as its pathological development. However, its principle phytoconstituents or underlying mechanisms have not been investigated. In order to achieve this, the current study systematically utilized computational tools, network pharmacology approaches and molecular docking studies. All identified phytoconstituents of SK were screened by QikProp ADME prediction and 47 were selected based on oral bioavailability and drug likeliness scores. Their 3D structures were submitted to three online target fishing webservers PharmMapper, ChemMapper and Swiss Target Prediction which produced 1084 biological targets for SK comprehensively. 350 known PCOS therapeutic targets were retreived as common targets from three different interrogative disease centric bioinformatic platforms DisGeNET, OMIM and GeneCards. Intersection of 1084 biological targets of SK and 350 PCOS therapeutic targets produced, 88 potential therapeutic targets of SK against PCOS. STRING PPI and Compound-Target-Pathway networks were constructed and analysed using Cytoscape software. GO & KEGG pathway enrichment analysis was performed using DAVID database. 15 PCOS therapeutic target proteins were short listed from network analysis report- PIK3CA, PDPK1, AKT1, PIK3R1, STAT3, MAPK1, MAPK3, EGFR, AR, ESR1, ESR2, SHGB, NOS3, F2 & CREBBP. Targets that were likely to be inhibited/modulated by SK for treatment of PCOS were docked against the screened phytoconstituents and their respective standard inhibitors using GLIDE-SP of Schrodinger suite, Maestro version- 13.0. Results showed that Quercetin, Catechin, Boeravinone J, Genistein, Protocatechuic Acid, Gentisic Acid, Xanthoarnol, Luteolin, Boeravinone F, Tyrosine, Kaempferol, Dalbergioidin, etc exhibited good binding affinities when compared to standard drugs and might be responsible for synergistic/additive protective effect of SK against PCOS. Meanwhile PI3K-Akt signaling pathway, Prolactin signaling pathway, AGE-RAG diabetic complications, HIF-1 signaling pathway and Estrogen signaling pathway were found to be involving the hub genes of interest and in this way, they might be intervened during treatment of PCOS by SK. Present study succeeded in identifying the drug like principle phytoconstituents, probable PCOS therapeutic targets and the underlying molecular mechanism of SK apart from providing reliable evidence for therapeutic potential of SK against PCOS. However further validation by in vitro and in vivo investigations is necessary.

10.
Indian J Biochem Biophys ; 2023 Feb; 60(2): 108-121
Article | IMSEAR | ID: sea-221618

ABSTRACT

Polycystic Ovary Syndrome (PCOS) is one of the most prevalent endocrine disorder in women of reproductive age characterized by hyperandrogenism (HA). Current treatment options for PCOS are either with adverse effects or ineffective. Saptasaram kashayam (SK), an ayurvedic formulation is often been a safe traditional alternative medicine to improve the PCOS symptoms as well as its pathological development. However, its principle phytoconstituents or underlying mechanisms have not been investigated. In order to achieve this, the current study systematically utilized computational tools, network pharmacology approaches and molecular docking studies. All identified phytoconstituents of SK were screened by QikProp ADME prediction and 47 were selected based on oral bioavailability and drug likeliness scores. Their 3D structures were submitted to three online target fishing webservers PharmMapper, ChemMapper and Swiss Target Prediction which produced 1084 biological targets for SK comprehensively. 350 known PCOS therapeutic targets were retreived as common targets from three different interrogative disease centric bioinformatic platforms DisGeNET, OMIM and GeneCards. Intersection of 1084 biological targets of SK and 350 PCOS therapeutic targets produced, 88 potential therapeutic targets of SK against PCOS. STRING PPI and Compound-Target-Pathway networks were constructed and analysed using Cytoscape software. GO & KEGG pathway enrichment analysis was performed using DAVID database. 15 PCOS therapeutic target proteins were short listed from network analysis report- PIK3CA, PDPK1, AKT1, PIK3R1, STAT3, MAPK1, MAPK3, EGFR, AR, ESR1, ESR2, SHGB, NOS3, F2 & CREBBP. Targets that were likely to be inhibited/modulated by SK for treatment of PCOS were docked against the screened phytoconstituents and their respective standard inhibitors using GLIDE-SP of Schrodinger suite, Maestro version- 13.0. Results showed that Quercetin, Catechin, Boeravinone J, Genistein, Protocatechuic Acid, Gentisic Acid, Xanthoarnol, Luteolin, Boeravinone F, Tyrosine, Kaempferol, Dalbergioidin, etc exhibited good binding affinities when compared to standard drugs and might be responsible for synergistic/additive protective effect of SK against PCOS. Meanwhile PI3K-Akt signaling pathway, Prolactin signaling pathway, AGE-RAG diabetic complications, HIF-1 signaling pathway and Estrogen signaling pathway were found to be involving the hub genes of interest and in this way, they might be intervened during treatment of PCOS by SK. Present study succeeded in identifying the drug like principle phytoconstituents, probable PCOS therapeutic targets and the underlying molecular mechanism of SK apart from providing reliable evidence for therapeutic potential of SK against PCOS. However further validation by in vitro and in vivo investigations is necessary.

11.
Braz. J. Pharm. Sci. (Online) ; 59: e21182, 2023. tab, graf
Article in English | LILACS | ID: biblio-1429967

ABSTRACT

Abstract Suanzaoren Decoction (SZRD) is an ancient prescription used in the treatment of insomnia. This study aimed to investigate the components and targets of SZRD in treating insomnia. First, the compounds of five herbs in SZRD were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the putative targets for treating insomnia were obtained from DrugBank to construct the herb-compound-target- disease network. A protein-protein interaction (PPI) network was constructed in the STRING database, and then Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to predict the mechanism of action of intersection target. Finally, 30 mice were divided into five groups: control, model, and quercetin groups (100, 50, 25 mg/kg). The sleep latency and duration of pentobarbital-induced sleeping were measured. The production of interleukin-6 (IL-6) and γ-aminobutyric acid (γ-GABA) was detected by using an enzyme-linked immunosorbent assay kit (ELISA), and Gamma-aminobutyric acid type a receptor subunit alpha1 (GABRA1) was tested by Reverse Transcription-Polymerase Chain Reaction (RT-PCR). A total of 152 active ingredients, including 80 putative targets of SZRD, were obtained. The main active compounds included quercetin and kaempferol, and the key targets involved IL-6 and nitric oxide synthase 3 (NOS3). The results of pathway enrichment analysis indicated that the putative targets of SZRD mainly participated in Neuroactive ligand-receptor interaction. The experiment of P-chlorophenylalanine (PCPA)-induced insomnia model showed that quercetin obviously shortened the sleep latency and prolonged the sleep duration of the insomnia model. The production of IL-6, γ-GABA, and GABRA1 mRNA was significantly increased in mice treated with quercetin. This study predicted the active ingredients and potential targets of SZRD on insomnia on the basis of a systematic network pharmacology approach and illustrated that SZRD might exert hypnotic effects via regulating IL-6, γ-GABA, and GABRA1


Subject(s)
Animals , Male , Female , Rats , Plant Extracts/pharmacology , Sleep Initiation and Maintenance Disorders/classification , Pentobarbital/analysis , Quercetin/adverse effects , Kaempferols/adverse effects
12.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 168-175, 2023.
Article in Chinese | WPRIM | ID: wpr-984595

ABSTRACT

ObjectiveTo characterize the efficacy components of Guizhi Jia Gegentang(GGT) in intervening influenza virus pneumonia by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS). MethodBALB/c mice were randomly divided into normal group and GGT group(36 g·kg-1·d-1) with six mice in each group. GGT group was continuously administered GGT extract for 5 d, while the normal group was administered an equal amount of ultrapure water. Serum and lung tissue were collected after administration, and UPLC-Q-Exactive Orbitrap MS was used to characterize the prototypical and metabolic components of GGT in serum and lung tissue of mice. The components existed simultaneously in the serum and lung tissue of mice from the GGT group were defined as its functional components, and the targets of efficacy components were searched by SwissTargetPrediction database, and GeneCards database was used to query the target of influenza virus pneumonia, and then the intersection was taken to obtain potential targets of GGT for intervening in the disease. Protein-protein interaction(PPI) network analysis of potential targets was performed by STRING database, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis on potential targets was performed by Metascape. ResultA total of 29 prototypical components and 28 metabolic components of GGT were detected in the drug-containing serum of mice, of which 11 prototypical components and 4 metabolic components were detected in the lung tissue of mice. The main metabolic pathways included reduction, hydroxylation, methylation, glucuronidation and sulfation. The results of PPI network and KEGG analysis showed that these functional components may act through their effects on targets such as albumin(ALB), epidermal growth factor receptor(EGFR), steroid receptor coactivator(SRC), Toll-like receptor 4(TLR4), nuclear transcription factor(NF)-κB and adhesion junction. ConclusionThe 11 prototypical components and 4 metabolites present simultaneously in the drug-containing serum and lung tissue of mice may be the potential therapeutic components of GGT in interfering with influenza viral pneumonia, and act through interfering with inflammatory metabolic pathways. This study can provide a reference for the mechanism study of GGT in the treatment of influenza viral pneumonia.

13.
Journal of Pharmaceutical Practice ; (6): 485-491, 2023.
Article in Chinese | WPRIM | ID: wpr-984557

ABSTRACT

Objective To explore the possible mechanism of Radix Paeoniae Alba on hepatic fibrosis based on network pharmacology. Methods Tcmsp database was used to screen the active components of Paeonia alba. With the help of PubChem and Swiss target prediction database, the potential action targets of the effective components of Paeonia Alba were predicted. GeneCards and OMIM databases were used to screen the corresponding targets of liver fibrosis, and venn2.1.0 was used to obtain the common targets of white peony and liver fibrosis. Cytoscape 3.9.0 software was used to build the network diagram of “white peony - active ingredients - intersection target - liver fibrosis” and to predict the main active sites. String database was used to draw the PPI network. Go analysis of effective targets and enrichment analysis of KEGG in pathway were performed by David database. Results Six effective components, 213 targets of Paeonia Alba and 155 hepatic fibrosis targets were screened. There were 49 targets of Radix Paeoniae Alba in the treatment of liver fibrosis. The main active ingredients are kaempferol, paeoniflorin, mairin and β-Sitosterol. Go enrichment analysis showed 269 biological processes, 30 cell compositions, 64 molecular functions, and 67 pathways in KEGG pathway enrichment analysis. Conclusion The mechanism of anti-hepatic fibrosis of Radix Paeoniae Alba has been preliminarily studied through network pharmacology, which shows that Radix Paeoniae Alba has multi-component, multi-target, and multi-channel effects, and provides reference for further experimental research.

14.
Journal of Chinese Physician ; (12): 348-354,359, 2023.
Article in Chinese | WPRIM | ID: wpr-992306

ABSTRACT

Objective:To explore the key targets and mechanism of Bielong Ruangan decoction in the treatment of liver cancer based on network pharmacology and molecular docking.Methods:Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database, PubChem database and PharmMapper database were used to search and screen the chemical components and related targets of Bielong Ruangan decoction and the targets of liver cancer diseases. The network diagram of " Bielong Ruangan decoction-traditional Chinese medicine-active ingredient-predicted target-disease" was constructed; Protein-protein interaction (PPI) network were analyzed through String database; gene ontology (GO) enrichment analysis was performed through WebGestalt database; Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was carried out through KEGG Orthology Based Annotation System (KOBAS) database; Molecular docking of the active components and core target proteins of Bielong Ruangan decoction was carried out by using PyMOL, Auto DockVina and other software.Results:Bielong Ruangan decoction had 67 active components, 154 liver cancer targets and 244 pathways. According to the analysis of network pharmacology, Bielong Ruangan decoction may play an anti-cancer role through key targets such as epidermal growth factor receptor (EGFR), mitogen activated protein kinase 1 (MAPK1), estrogen receptor 1 (ESR1), MAPK8, serine threonine protein kinase 1 (AKT1), MAPK14, cysteine protease 3 (CASP3), cyclin-dependent kinase 2 (CDK2), bone morphogenetic protein 2 (BMP2), aldose reductase (AKR1B1) and other key targets. KEGG enrichment analysis showed that the treatment of liver cancer by Bielong Ruangan decoction involved the regulation of vascular endothelial growth factor (VEGF) signaling pathway, tumor necrosis factor (TNF) signaling pathway, thyroid hormone signaling pathway, T cell receptor signaling pathway and other pathways. The results of molecular docking showed that the binding energy of all compounds to protein was less than -5.6 kcal/mol, indicating that each compound and each protein could bind well.Conclusions:Bielong Ruangan decoction participates in the treatment of liver cancer through " multi-component, multi-target and multi-channel" ways, and plays an anti-cancer role mainly by regulating the proliferation and invasion of tumor cells and tumor inflammatory microenvironment.

15.
Journal of Chinese Physician ; (12): 178-185, 2023.
Article in Chinese | WPRIM | ID: wpr-992280

ABSTRACT

Objective:To analyze the mechanism of Danpi-Chishao in treatment of sepsis based on network pharmacology.Methods:The corresponding targets of Danpi-Chishao and sepsis were carried out through TCMSP database, OMIM database and Genecards database. Cystoscope 3.8.2 software was used to construct the " Chinese medicine-active components-target-disease" network diagram. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were carried out by DAVID database. Weisheng cloud platform was used to draw bubble map.Results:A total of 36 effective components of Danpi-Chishao was obtained, mainly including quercetin, kaempferol, baicalin, β-sitosterol, stigmasterol, paeoniflorin and so on. There were 96 potential common key targets between Danpi-Chishao and sepsis, such as prostaglandin-endoperoxide synthase 2 (PTGS2), transcription factor p65 (RELA), phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit gamma (PIK3CG), B-cell lymphoma 2 (BCL-2)-associated X (BAX), BCL-2, Caspase-3 (CASP3) with a degree value>4.9. The result of protein-protein interaction (PPI) network analysis showed that there were 10 important target proteins, including alpha serine/threonine-protein kinase (AKT1), interleukin-6 (IL-6), tumor necrosis factor (TNF), interleukin-1β (IL-1β), vascular endothelial growth factor A (VEGFA), cellular tumor antigen p53 (TP53), matrix metalloproteinase-9 (MMP9), CASP3, PTGS2, C-C motif chemokine ligand 2 (CCL2). The pathways obtained by GO and KEGG enrichment analysis included atherosclerosis pathway, advanced glycation end products (AGE)-receptor for advanced glycation end products (RAGE) signal pathway, cancer pathway, tumor necrosis factor signal pathway, hypoxia-inducible factor (HIF) signal pathway, IL-17 signal pathway and other pathway.Conclusions:The mechanism of the intervention effect of Danpi-Chishao on sepsis may be that the active components such as quercetin, kaempferol, paeoniflorin act on target proteins such as PTGS2, RELA, PIK3CG, BAX, BCL2, CASP3, and through TNF-related signal pathway, HIF-1 signal pathway, IL-17 signal pathway, etc. Nonetheless, the conclusion needs further experimental verification.

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Chinese Journal of Pharmacology and Toxicology ; (6): 508-509, 2023.
Article in Chinese | WPRIM | ID: wpr-992188

ABSTRACT

OBJECTIVE To investigate the mecha-nism of endoplasmic reticulum stress in cerebral isch-emic stroke from a theoretical perspective based on net-work pharmacology.METHODS GeneCards and OMIM databases were used to screen out the related targets of cerebral ischemic stroke and endoplasmic reticulum stress.And Venny2.1.0 was used to draw Venn's diagram to get the intersecting genes between cerebral ischemic stroke and endoplasmic reticulum stress.String data-base was used to get the protein-protein interaction(PPI)diagram and cytoscape was used for visualization analy-sis.The key genes were screened out by cytohubba plug-in,and enrichment analysis was performed.RESULTS Network pharmacology showed that there were 3744 cerebral ischemic stroke-related targets and 8675 endo-plasmic reticulum stress-related targets.After screening,41 common targets were got.There were 37 nodes,390 edges in the PPI network,namely,there were 37 interact-ing proteins and 390 interacting relationships.The key genes identified by cytohubba plug-in were IL-6,ALB,INS,TNF,AKT1,CASP3,MAPK3,TP53,SIRT1 and VEGF.The biological process involves reaction to oxida-tive stress,the regulation of neuron death,and negative regulation of cell differentiation,etc.;cellular components were related to the membrane raft,smooth endoplasmic reticulum,endoplasmic reticulum lumen and other com-ponents;molecular function aspects were related to sig-naling receptor activator activity,chaperone binding and protease binding.Enrichment analysis of pathway revealed that the intersecting targets were involved in PI3K/Akt pathway and protein processing in endoplasmic reticulum,etc.CONCLUSION The endoplasmic reticu-lum stress in cerebral ischemic stroke is related to the bi-ological processes of reaction to oxidative stress,the reg-ulation of neuron death,and negative regulation of cell differentiation,the mechanism may be related to neuroin-flammation and apoptosis.

17.
China Tropical Medicine ; (12): 863-2023.
Article in Chinese | WPRIM | ID: wpr-1005155

ABSTRACT

@#Abstract: Objective To elucidate the potential mechanism of Jindanjiangan Capsule in the treatment of liver fibrosis by network pharmacology and molecular docking. Methods Active ingredients and targets of Jindanjiangan Capsules were searched by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and HERB databases, and the disease targets were screened by DisGeNET and Therapeutic Target Database (TTD) databases. The targets of the active ingredients of Jindanjiangan Capsule were matched with the disease targets, and the common targets were imported into the String database platform to construct a protein-protein interaction network (PPI) network. CytoNCA tool of Cytoscape 3.9.1 software was used for topological analysis to screen key targets. Traditional Chinese Medicine-Key Active IngredientsKey Target Network was constructed by Cytoscape 3.9.1 Software. KEGG enrichment analysis of key targets was performed through the DAVID platform. The molecular docking of active ingredients and targets was performed to verify the above results using LeDock software. Results By screening, 180 potential active ingredients and 1 340 targets of Jindanjiangan Capsule and 1 060 targets of liver fibrosis, and 273 common targets were obtained. 29 key targets related to liver fibrosis were screened out by PPI network interaction, and verified by KEGG analysis and molecular docking. Jindanjiangan capsule acts on key targets such as EGFR, MMP9, PTGS2, ESR1, PIK3CA, F2, PPARG, and PTPN11 through active components such as isovitexin, quercetin 7-O- β -D-glucoside, (3S, 6S) -3- (benzyl) -6- (4-hydroxybenzyl) piperazine-2, 5-quinone, 6-Osyringoyl-8-O-acetylshanzhiside methyl ester, tanshinone II, nortanshinone, capillaris chromone, and etanone. The specific mechanism may be related to HIF-1 signaling pathway, C-type lectin receptor signaling pathway, Toll-like receptor signaling pathway, tumor necrosis factor signaling pathway, relaxin signaling pathway, FoxO signaling pathway and so on. Conclusion Jindanjiangan capsule can effectively treat hepatic fibrosis through multi-component, multi-target and multi-pathway.

18.
China Occupational Medicine ; (6): 361-369, 2023.
Article in Chinese | WPRIM | ID: wpr-1003869

ABSTRACT

Objective To explore the mechanism of action of curcumin in the treatment of silicosis by network pharmacology combined with molecular docking technology. Methods The targets prediction network of curcumin in treating silicosis was established based on the collection of targets of curcumin and silicosis in multiple databases, cross-targets were submitted to the STRING database, and their connectivity was analyzed by Cytoscape software. Gene ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the top 20 genes. The molecular docking was performed on the key targets to study the mechanism of action of curcumin in treating silicosis. Results A total of 311 targets related to curcumin, 270 targets related to silicosis, and 74 cross-targets were obtained from the databases. GO function analysis revealed 2 665 related pathways, and KEGG pathway enrichment analysis revealed 188 related pathways. Molecular docking results showed that curcumin had good binding ability with the targets of mitogen-activated protein kinase 3 (MAPK3), interleukin (IL) 6, serine/threonine kinase 1 (AKT1), vascular endothelial growth factor A (VEGFA), signal transducer and activator of transcription 3, albumin, Jun proto-oncogene, tumor necrosis factor (TNF), IL1B, tumor protein p53, C-C motif chemokine ligand 2 and fibronectin 1. Conclusion The therapeutical effects of curcumin on silicosis were implemented through multi-targets and multi-pathways. Curcumin may play a role in the treatment of silicosis by binding to the core targets MAPK3, IL6, AKT1, VEGFA and TNF and regulating the MAPK, IL6, TNF, phosphatidylinositol 3-kinase/protein kinase B and VEGF signaling pathways.

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Journal of Pharmaceutical Practice ; (6): 722-732, 2023.
Article in Chinese | WPRIM | ID: wpr-1003618

ABSTRACT

Objective To analyze the main active components and potential molecular mechanism of Sophora flavescens against breast cancer based on network pharmacology and molecular docking. Methods The chemical constituents were collected and screened by TCMSP, ETCM database and literature review. The targets of active ingredients were predicted by Swiss Target Prediction database. Breast cancer-related targets were collected by GeneCards, TTD, Drugbank and OMIM. The anti-breast cancer targets of Sophora flavescens were screened by Venny 2.1.0 software. Cytoscape software was used to construct the network diagram of Sophora flavescens-key active ingredients-targets. STRING database was used to analyze the common targets, and PPI network diagram was constructed. GO function enrichment analysis and KEGG pathway enrichment analysis of key target proteins were performed by DAVID database and Hiplot online platform. Schrodinger software was used to calculate the molecular docking between the active ingredients and targets. Molecular biological methods were used to verify the key targets. Results A total of 36 active components with clear structures were screened from Sophora flavescens. 70 anti-breast cancer targets of Sophora flavescens were screened out. 12 core targets including EGFR, AKT1, ESR1, SRC, CYP19A1, AR and ABCB1 participate in endocrine resistance, EGFR tyrosine kinase inhibitors and estrogen signaling pathways in breast cancer. Moreover, the docking score between the core component and the key target AR is the highest. In vitro experiments showed that the extract of Sophora flavescens can inhibit the proliferation of breast cancer cells, induce cell apoptosis and up-regulate AR protein expression. Conclusion It was revealed that Sophora flavescens plays an anti-breast cancer role by regulating complex biological processes through multiple components acting on multiple targets and signaling pathways. The upregulation of AR protein by Sophora flavescens may become a new therapeutic strategy for the treatment of breast cancer.

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Journal of Pharmaceutical Practice ; (6): 714-721, 2023.
Article in Chinese | WPRIM | ID: wpr-1003617

ABSTRACT

Objective To explore the potential mechanism of artemisinin in the treatment of polycystic ovary syndrome (PCOS) by network pharmacology and molecular docking technology. Methods The corresponding targets of natural product artemisinin were obtained from PubChem, Swiss Target Prediction and PharmMapper databases, targets related to PCOS were obtained through GeneCards and DisGeNET databases; the intersection target genes of Artemisinin and PCOS were screened by Draw Venn diagram. Then the protein-protein interaction network (PPI) was constructed according to the intersection target genes through the STRING Database, and the core targets were screened by Cytoscape. Besides, gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis was performed by DAVID Database, and finally the data were analyzed visually by the online platform. Molecular docking of artemisinin and core targets were performed by Chemdraw, Pymol, Auto Dock Tools and RCSB PDB database. Results A total of 229 targets of artemisinin and 1292 targets of PCOS were screened out, 90 overlapping targets were obtained by Draw Venn diagram, and 5 potential core targets, AKT1, ESR1, MMP9, PPARG, MMP2, were mainly act on PI3K Akt, MAPK, RAS, endocrine resistance and other signal pathways. Molecular docking results showed that there were molecular binding sites between artemisinin and core targets. Conclusion It is preliminarily analyzed that artemisinin may play a therapeutic role in PCOS through multiple targets and mechanisms.

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