scholarly journals Study The Mechanism of Huangdi Anxiao Capsules In The Treatment of T2DM of Using UPLC-Q-TOF-MSE Combined With Network Pharmacological

2022 ◽  
Author(s):  
Wei Zhang ◽  
Li Shan ◽  
Meng Qing Zhu ◽  
Zhao Hui Fang ◽  
Xiao Chuang Liu ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Target Genes ◽  
Target Prediction ◽  
Network Pharmacology ◽  
Rat Serum ◽  
Protein Protein Interaction ◽  
Material Basis ◽  
The Common ◽  
Tof Ms

Abstract This study was to explore the main material basis, target and pathway of Huangdi Anxiao capsule (HDAXC) for the treatment of type 2 diabetes mellitus (T2DM) by UPLC-Q-TOF-MSE and network pharmacology. In this study, HDAXC was administrated to T2DM rats, and its serum were detected by UPLC- Q-TOF-MSE, and the prototype components of HDAXC were analyzed. Using Swiss target prediction database to predict the target of serum prototype components, using GeneCards and DrugBack database to predict the target of T2DM. These common targets are the prediction target of HDAXC acting on T2DM. The key components of HDAXC in the treatment of T2DM were determined by using the software of Cytoscape3.7.2 to visualize the results. Using the STRING online platform to construct the protein-protein interaction (PPI), the key target genes were selected. The Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the common targets were carried out by using the OmicShare tools. And quantitative PCR and Western bolt were used to verify the related target genes. A toll of 28 prototype compounds were detected in rat serum, and 495 putative identified target genes were screened from HDAXC, of which 141 overlapped with the targets of T2DM and were considered potential therapeutic targets. The analysis of the network results showed that the key components of HDAXC are Magnoflorine, Galangin, Quercetin, and Epiberberine, etc. VEGFA, AKT1, SRC, EGFR might be the key target genes of HDAXC in the treatment of T2DM. HDAXC may have a therapeutic effect on T2DM by affecting HIF-1 signaling pathway, AGE-RAGE signaling pathway in diabetic complications, VEGFA signaling pathway and PI3K/AKT signaling pathways. In this study, compounds absorbed into the blood of HDAXC and its action target and pathway were preliminarily analyzed, which provided evidences for clarifying the chemical material basis and researching functional mechanism of HDAXC.

scholarly journals Potential Molecular Target Prediction and Docking Verification of Hua-Feng-Dan in Stroke Based on Network Pharmacology

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Ping Yang ◽  
Haifeng He ◽  
Shangfu Xu ◽  
Ping Liu ◽  
Xinyu Bai
Keyword(s):  
Molecular Docking ◽  
Signaling Pathways ◽  
Target Genes ◽  
Target Prediction ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Core Network ◽  
Active Ingredients ◽  
Protein Protein Interaction ◽  
Highly Correlated

Objective. Hua-Feng-Dan (HFD) is a Chinese medicine for stroke. This study is to predict and verify potential molecular targets and pathways of HFD against stroke using network pharmacology. Methods. The TCMSP database and TCMID were used to search for the active ingredients of HFD, and GeneCards and DrugBank databases were used to search for stroke-related target genes to construct the “component-target-disease” by Cytoscape 3.7.1, which was further filtered by MCODE to build a core network. The STRING database was used to obtain interrelationships by topology and to construct a protein-protein interaction network. GO and KEGG were carried out through DAVID Bioinformatics. Autodock 4.2 was used for molecular docking. BaseSpace was used to correlate target genes with the GEO database. Results. Based on OB ≥ 30% and DL ≥ 0.18, 42 active ingredients were extracted from HFD, and 107 associated targets were obtained. PPI network and Cytoscape analysis identified 22 key targets. GO analysis suggested 51 cellular biological processes, and KEGG suggested that 60 pathways were related to the antistroke mechanism of HFD, with p53, PI3K-Akt, and apoptosis signaling pathways being most important for HFD effects. Molecular docking verified interactions between the core target (CASP8, CASP9, MDM2, CYCS, RELA, and CCND1) and the active ingredients (beta-sitosterol, luteolin, baicalein, and wogonin). The identified gene targets were highly correlated with the GEO biosets, and the stroke-protection effects of Xuesaitong in the database were verified by identified targets. Conclusion. HFD could regulate the symptoms of stroke through signaling pathways with core targets. This work provided a bioinformatic method to clarify the antistroke mechanism of HFD, and the identified core targets could be valuable to evaluate the antistroke effects of traditional Chinese medicines.

Study on the Mechanism of Bushen Jianpi Decoction in the Treatment of T2DM Based on Network Pharmacology

2021 ◽  
Author(s):  
Dongqiang Luo ◽  
Ying Shao ◽  
Yong Sun ◽  
Shuntang Du ◽  
Feng Liu
Keyword(s):  
Molecular Docking ◽  
Signaling Pathway ◽  
Target Genes ◽  
Fluid Shear Stress ◽  
Interaction Network ◽  
Binding Potential ◽  
Network Pharmacology ◽  
Signal Pathways ◽  
Protein Protein Interaction ◽  
Target Disease

Abstract Through the preliminary clinical observation, we had found that Bushen Jianpi decoction (BJD) combined with had better efficacy and less side effects, but its mechanism was not clear. The purpose of this study was to determine its molecular targets and mechanism in T2DM therapy by means of network pharmacology and molecular docking.Results: A total of 144 candidate compounds and 1103 differentially expressed genes were screened, and 43 common targets related to T2DM in BJD were identified. The "TCM-compound-target-disease" network suggested that quercetin, luteolin and kaempferol were the top three compounds. Through protein-protein interaction network, 45 core target genes were identified, including ITGA4, TP53, MYC and so on. GO enrichment showed that genes were significantly enriched in biological processes such as response to oxidative stress, response to lipopolysaccharide, response to molecule of bacterial origin and response to reactive oxygen species. KEGG enrichment showed that there was significant gene enrichment in Fluid shear stress and atherosclerosis, TNF signaling pathway, P13K-Akt signaling pathway, IL-17 signaling pathway and AGE-RAGE signaling pathway in diabetic complications signal pathways. The results of molecular docking showed that the key components of BJD had good binding potential with target genes. Conclusions: BJD may play a role in the treatment of T2DM through anti-inflammation, antioxidation and regulating metabolism, but it still needs to be further confirmed by experiments.Keywords: Network pharmacology, GEO database, Molecular docking, Bushen Jianpi decoction; T2DM

scholarly journals Studies of the Anti-Diabetic Mechanism of Pueraria lobata Based on Metabolomics and Network Pharmacology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1245
Author(s):  
Shu Zhang ◽  
Qi Ge ◽  
Liang Chen ◽  
Keping Chen
Keyword(s):  
Signaling Pathway ◽  
Diabetes Complications ◽  
Mapk Signaling ◽  
Network Pharmacology ◽  
Pueraria Lobata ◽  
Insulin Deficiency ◽  
Active Ingredients ◽  
Foxo Signaling Pathway ◽  
Anti Inflammation

Diabetes mellitus (DM), as a chronic disease caused by insulin deficiency or using obstacles, is gradually becoming a principal worldwide health problem. Pueraria lobata is one of the traditional Chinese medicinal and edible plants, playing roles in improving the cardiovascular system, lowering blood sugar, anti-inflammation, anti-oxidation, and so on. Studies on the hypoglycemic effects of Pueraria lobata were also frequently reported. To determine the active ingredients and related targets of Pueraria lobata for DM, 256 metabolites were identified by LC/MS non targeted metabonomics, and 19 active ingredients interacting with 51 DM-related targets were screened. The results showed that puerarin, quercetin, genistein, daidzein, and other active ingredients in Pueraria lobata could participate in the AGE-RAGE signaling pathway, insulin resistance, HIF-1 signaling pathway, FoxO signaling pathway, and MAPK signaling pathway by acting on VEGFA, INS, INSR, IL-6, TNF and AKT1, and may regulate type 2 diabetes, inflammation, atherosis and diabetes complications, such as diabetic retinopathy, diabetic nephropathy, and diabetic cardiomyopathy.

scholarly journals A Network Pharmacology Approach to Predict the Proangiogenesis Mechanism of Huangqi-Honghua Herb Pair after Cerebral Ischemia

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jinyi Cao ◽  
Lu Lei ◽  
Kai Wang ◽  
Jing Sun ◽  
Yi Qiao ◽  
...  
Keyword(s):  
Cerebral Ischemia ◽  
Signaling Pathway ◽  
Target Genes ◽  
Blood Stasis ◽  
Blood Stasis Syndrome ◽  
Network Pharmacology ◽  
Western Blot Assay ◽  
Medicinal Value ◽  
Pharmacological Method

Objective. Huangqi-Honghua herb pair is known for its medicinal value to treat Qi deficiency and blood stasis syndrome with a long history in clinical practice. To understand its possible mechanism in a systematic study, a network pharmacological method was addressed. Methods. Detailed information on the HH compounds was obtained from two public databases, and oral bioavailability (OB) and drug-like (DL) of the compounds were evaluated. A correlation between HH compounds, its potential targets, and known targets was extrapolated, and the herb-compound-target-disease (H-C-T-D) network was established. Next, the pathway enrichment and essential genes were analyzed. Then, three key genes (VEGFA, VEGFR2, and eNOS), highly associated with angiogenesis, were screened and verified through western blot assay. Results. Out of 276 compounds, 21 HH compounds and 78 target genes regulating the major pathways associated with CI in the network are analyzed. The bioactive compounds in HH were active in various signal transduction pathways such as the toll-like receptor signaling pathway, VEGF signaling pathway, TNF signaling pathway, and HIF-1 signaling pathway are important pathways that may regulate anti-inflammatory, antiapoptotic, immune correlation, and antioxidative effects. The core genes are PTGS2, TNF, NOS2, IL6, BCL2, IL1B, SOD2, NOS3, SOD1, MMP9, and VEGFA. The in vitro results suggested that HH treatment could significantly elevate the expression of proangiogenic genes such as VEGFA, VEGFR2, and eNOS compared with OGD groups. Conclusions. Our results predict that HH may regulate the expression of VEGFA, VEGFR2, and eNOS via the VEGF and HIF-1 signaling pathway to promote angiogenesis and alleviate cerebral ischemia injury.

scholarly journals A Network Pharmacology Analysis to Reveal the Molecular Mechanism of Zhizi-Danshen on Coronary Heart Disease

2020 ◽  
Author(s):  
Yue-hong Shen ◽  
Shu-lin Wang ◽  
Na Wu ◽  
Yu-chen Dai ◽  
Qian Zhou ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Endothelial Function ◽  
Signaling Pathway ◽  
Target Genes ◽  
Cardiac Fibrosis ◽  
Fluid Shear Stress ◽  
Network Pharmacology ◽  
Vascular Endothelial ◽  
Vascular Endothelial Function

Abstract ObjectiveOur study aimed to investigate the potential mechanisms of the herb pair Zhizi-Danshen (ZD) for coronary heart disease (CHD) using network pharmacological data mining technology.MethodsThe Traditional Chinese Medicine System Pharmacology (TCMSP) database was used to collect the active ingredients of ZD and predict ZD-related target proteins. Afterwards, we identified CHD-related targets from DisGeNET database, NCBI gene database, and TTD database. The common targets both from ZD and CHD were screened by Venny2.1, which were then imported into the String database for protein-protein interaction (PPI) analysis. Finally, the GO and KEGG enrichment analysis were performed by R software, and the network construction was established using Cytoscape3.7.2.ResultsWe obtained 199 possible targets from 62 candidate ingredients of ZD and 1033 CHD-ralated targets, with 83 overlapping common target genes. Then, 11 core targets were acquired from PPI network analysis. Further, GO analysis showed that these common targets mainly influenced receptor ligand activity，cytokine activity，cytokine receptor binding，steroid hormone receptor activity, and peptide binding. KEGG pathway analysis indicated that ZD affected CHD through seven important pathways linked to vascular endothelial function regulation (fluid shear stress and atherosclerosis，AGE-RAGE signaling pathway in diabetic complications, HIF-1 signaling pathway), imflammatory effects (IL-17 signaling pathway, TNF signaling pathway，Toll-like receptor signaling pathway)，and hormone regulation (relaxin signaling pathway). ConclusionsThis study revealed the potential pharmacological mechanisms of ZD against CHD, which were mainly associated with regulation of vascular endothelial function and inflammatory effects, promotion of vasodilatation, and prevention of cardiac fibrosis. Moreover, it provided a novel conception for the development of alternative therapies on CHD.

scholarly journals Use of Network Pharmacology to Explore the Mechanism of Gegen (Puerariae lobatae Radix) in the Treatment of Type 2 Diabetes Mellitus Associated with Hyperlipidemia

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guozhen Yuan ◽  
Shuai Shi ◽  
Qiulei Jia ◽  
Jingjing Shi ◽  
Shuqing Shi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Signaling Pathway ◽  
Fluid Shear Stress ◽  
Chinese Herbs ◽  
Network Pharmacology ◽  
Biological Processes ◽  
Active Ingredients

Rapid increases in metabolic disorders, such as type 2 diabetes mellitus (T2DM) and hyperlipidemia, are becoming a substantial challenge to worldwide public health. Traditional Chinese medicine has a long history and abundant experience in the treatment of diabetes and hyperlipidemia, and Puerariae lobatae Radix (known as Gegen in Chinese) is one of the most prevalent Chinese herbs applied to treat these diseases. The underlying mechanism by which Gegen simultaneously treats diabetes and hyperlipidemia, however, has not been clearly elucidated to date. Therefore, we systematically explored the potential mechanism of Gegen in the treatment of T2DM complicated with hyperlipidemia based on network pharmacology. We screened the potential targets of Gegen, T2DM, and hyperlipidemia in several online databases. Then, the hub targets were analyzed by performing protein-protein interaction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment assays, and finally, the complicated connections among compounds, targets, and pathways were visualized in Cytoscape. We found that isoflavones, including daidzein, genistein, and puerarin, as well as β-sitosterol, are the key active ingredients of Gegen responsible for its antidiabetic and antihyperlipidemia effects, which mainly target AKR1B1, EGFR, ESR, TNF, NOS3, MAPK3, PPAR, CYP19A1, INS, IL6, and SORD and multiple pathways, such as the PI3K-Akt signaling pathway; the AGE-RAGE signaling pathway in diabetic complications, fluid shear stress, and atherosclerosis; the PPAR signaling pathway; insulin resistance; the HIF-1 signaling pathway; the TNF signaling pathway; and others. These active ingredients also target multiple biological processes, including the regulation of glucose and lipid metabolism, the maintenance of metabolic homeostasis, and anti-inflammatory and antioxidant pathways. In conclusion, Gegen is a promising therapeutic phytomedicine for T2DM with hyperlipidemia that targets multiple proteins, biological processes, and pathways.

scholarly journals Identification of the Active Constituents and Significant Pathways of Shen-qi-Yi-zhu Decoction on Antigastric Cancer: A Network Pharmacology Research and Experimental Validation

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuhong Zeng ◽  
Zhibao Yu ◽  
Xintian Xu ◽  
Yuanjie Liu ◽  
Jiepin Li ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Target Genes ◽  
Cell Model ◽  
Network Pharmacology ◽  
Disease Network ◽  
Systematic Method ◽  
Protein Protein Interaction ◽  
Ppi Networks ◽  
Underlying Mechanisms

Shen-qi-Yi-zhu decoction (SQYZD) is an empirical prescription with antigastric cancer (GC) property created by Xu Jing-fan, a National Chinese Medical Master. However, its underlying mechanisms are still unclear. Based on network pharmacology and experimental verification, this study puts forward a systematic method to clarify the anti-GC mechanism of SQYZD. The active ingredients of SQYZD and their potential targets were acquired from the TCMSP database. The target genes related to GC gathered from GeneCards, DisGeNET, OMIM, TTD, and DrugBank databases were imported to establish protein-protein interaction (PPI) networks in GeneMANIA. Cytoscape was used to establish the drug-ingredients-targets-disease network. The hub target genes collected from the SQYZD and GC were parsed via GO and KEGG analysis. Our findings from network pharmacology were successfully validated using an in vitro HGC27 cell model experiment. In a word, this study proves that the combination of network pharmacology and in vitro experiments is effective in clarifying the potential molecular mechanism of traditional Chinese medicine (TCM).

scholarly journals In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Shengqing Hu ◽  
Yunfei Liao ◽  
Juan Zheng ◽  
Luoning Gou ◽  
Anita Regmi ◽  
...  
Keyword(s):  
Thyroid Carcinoma ◽  
Target Genes ◽  
Follicular Thyroid Carcinoma ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Ppi Network ◽  
Biological Targets ◽  
Protein Protein Interaction ◽  
Bioinformatic Tools ◽  
The Common

To better understand the molecular mechanism for the pathogenesis of follicular thyroid carcinoma (FTC), this study aimed at identifying key miRNAs and their target genes associated with FTC, as well as analyzing their interactions. Based on the gene microarray data GSE82208 and microRNA dataset GSE62054, the differentially expressed genes (DEGs) and microRNAs (DEMs) were obtained using R and SAM software. The common DEMs from R and SAM were fed to three different bioinformatic tools, TargetScan, miRDB, and miRTarBase, respectively, to predict their biological targets. With DEGs intersected with target genes of DEMs, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed through the DAVID database. Then a protein-protein interaction (PPI) network was constructed by STRING. Finally, the module analysis for PPI network was performed by MCODE and BiNGO. A total of nine DEMs were identified, and their function might work through regulating hub genes in the PPI network especially KIT and EGFR. KEGG analysis showed that intersection genes were enriched in the PI3K-Akt signaling pathway and microRNAs in cancer. In conclusion, the study of miRNA-mRNA network would offer molecular support for differential diagnosis between malignant FTC and benign FTA, providing new insights into the potential targets for follicular thyroid carcinoma diagnosis and treatment.

scholarly journals Integrating Network Pharmacology with Molecular Docking to Unravel the Active Compounds and Potential Mechanism of Simiao Pill Treating Rheumatoid Arthritis

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Mengshi Tang ◽  
Xi Xie ◽  
Pengji Yi ◽  
Jin Kang ◽  
Jiafen Liao ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Molecular Docking ◽  
Signaling Pathway ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Binding Activity ◽  
New Combination ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Potential Mechanism

Objective. To explore the main components and unravel the potential mechanism of simiao pill (SM) on rheumatoid arthritis (RA) based on network pharmacological analysis and molecular docking. Methods. Related compounds were obtained from TCMSP and BATMAN-TCM database. Oral bioavailability and drug-likeness were then screened by using absorption, distribution, metabolism, and excretion (ADME) criteria. Additionally, target genes related to RA were acquired from GeneCards and OMIM database. Correlations about SM-RA, compounds-targets, and pathways-targets-compounds were visualized through Cytoscape 3.7.1. The protein-protein interaction (PPI) network was constructed by STRING. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed via R packages. Molecular docking analysis was constructed by the Molecular Operating Environment (MOE). Results. A total of 72 potential compounds and 77 associated targets of SM were identified. The compounds-targets network analysis indicated that the 6 compounds, including quercetin, kaempferol, baicalein, wogonin, beta-sitosterol, and eugenol, were linked to ≥10 target genes, and the 10 target genes (PTGS1, ESR1, AR, PGR, CHRM3, PPARG, CHRM2, BCL2, CASP3, and RELA) were core target genes in the network. Enrichment analysis indicated that PI3K-Akt, TNF, and IL-17 signaling pathway may be a critical signaling pathway in the network pharmacology. Molecular docking showed that quercetin, kaempferol, baicalein, and wogonin have good binding activity with IL6, VEGFA, EGFR, and NFKBIA targets. Conclusion. The integrative investigation based on bioinformatics/network topology strategy may elaborate on the multicomponent synergy mechanisms of SM against RA and provide the way out to develop new combination medicines for RA.

scholarly journals Investigation of the Potential Mechanism Governing the Effect of the Shen Zhu San on COVID-19 by Network Pharmacology

2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Yuxuan Wang ◽  
Yuhua Ru ◽  
Guowei Zhuo ◽  
Maozheng Sheng ◽  
Shuangqiu Wang ◽  
...  
Keyword(s):  
Combined Therapy ◽  
Target Prediction ◽  
Interaction Network ◽  
Modern Medicine ◽  
Network Pharmacology ◽  
Target Tissue ◽  
Protein Protein Interaction ◽  
Compound Screening ◽  
Therapeutic Mechanisms ◽  
Microarray Analyses

Background. Since December 2019, coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 infection has emerged in Wuhan and rapidly spread throughout China and even to other countries. Combined therapy with modern medicine and traditional Chinese medicine has been proposed, in which Shen Zhu San (SZS) was regarded as one of the basic prescriptions. Methods. Network pharmacological approaches along with candidate compound screening, target prediction, target tissue location, protein-protein interaction network, gene ontology (GO), KEGG enrichment analyses, and gene microarray analyses were applied. Results. A total of 627 targets of the 116 active ingredients of SZS were identified. Targets in immune cells and tissues were much more abundant than those in other tissues. A total of 597 targets were enriched in the GO biological cellular process, while 153 signaling pathways were enriched according to the KEGG analysis. A total of 450 SARS-related targets were integrated and intersected with the targets of SZS to identify 40 common targets that were significantly enriched in five immune function aspects of the immune system process during GO analysis. Several inflammation-related pathways were found to be significantly enriched throughout the study. Conclusions. The therapeutic mechanisms of the effects of SZS on COVID-19 potentially involve four effects: suppressing cytokine storms, protecting the pulmonary alveolar-capillary barrier, regulating the immune response, and mediating cell death and survival.

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