scholarly journals A network pharmacology based approach for predicting active ingredients and potential mechanism of Lianhuaqingwen capsule in treating COVID-19

2021 ◽  
Vol 18 (8) ◽  
pp. 1866-1876
Author(s):  
Xiaobo Zhang ◽  
Rui Gao ◽  
Zubing Zhou ◽  
Xuehua Tang ◽  
Jingjing Lin ◽  
...  
Keyword(s):  
Network Pharmacology ◽  
Potential Mechanism ◽  
Active Ingredients

scholarly journals Network Pharmacology-Based Study on the Mechanism of Aloe Vera for Treating Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jing Xie ◽  
Jun Wu ◽  
Sihui Yang ◽  
Huaijun Zhou
Keyword(s):  
Molecular Docking ◽  
Drug Targets ◽  
Aloe Vera ◽  
Beta Carotene ◽  
Network Pharmacology ◽  
Potential Mechanism ◽  
Active Ingredients ◽  
Protein Protein Interaction ◽  
Target Network ◽  
Molecule Docking

Background. Aloe vera has long been considered an anticancer herb in different parts of the world. Objective. To explore the potential mechanism of aloe vera in the treatment of cancer using network pharmacology and molecule docking approaches. Methods. The active ingredients and corresponding protein targets of aloe vera were identified from the TCMSP database. Targets related to cancer were obtained from GeneCards and OMIM databases. The anticancer targets of aloe vera were obtained by intersecting the drug targets with the disease targets, and the process was presented in the form of a Venn plot. These targets were uploaded to the String database for protein-protein interaction (PPI) analysis, and the result was visualized by Cytoscape software. Go and KEGG enrichment were used to analyze the biological process of the target proteins. Molecular docking was used to verify the relationship between the active ingredients of aloe vera and predicted targets. Results. By screening and analyzing, 8 active ingredients and 174 anticancer targets of aloe vera were obtained. The active ingredient-anticancer target network constructed by Cytoscape software indicated that quercetin, arachidonic acid, aloe-emodin, and beta-carotene, which have more than 4 gene targets, may play crucial roles. In the PPI network, AKT1, TP53, and VEGFA have the top 3 highest values. The anticancer targets of aloe vera were mainly involved in pathways in cancer, prostate cancer, bladder cancer, pancreatic cancer, and non-small-cell lung cancer and the TNF signaling pathway. The results of molecular docking suggested that the binding ability between TP53 and quercetin was the strongest. Conclusion. This study revealed the active ingredients of aloe vera and the potential mechanism underlying its anticancer effect based on network pharmacology and provided ideas for further research.

scholarly journals Exploring the Potential Mechanism of Xiaokui Jiedu Decoction for Ulcerative Colitis Based on Network Pharmacology and Molecular Docking

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bin Wang ◽  
Yang Liu ◽  
Jianhui Sun ◽  
Nailin Zhang ◽  
Xiaojia Zheng ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Molecular Docking ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Therapeutic Effects ◽  
Potential Mechanism ◽  
Related Gene ◽  
Active Ingredients ◽  
Colon Cells ◽  
Hub Gene

Introduction. Network pharmacology is in line with the holistic characteristics of TCM and can be used to elucidate the complex network of interactions between disease-specific genes and compounds in TCM herbal medicines. Here, we investigate the pharmacological mechanism of Xiaokui Jiedu decoction (XJD) for the treatment of ulcerative colitis (UC). Methods. The Computational Systems Biology Laboratory Platform (TCMSP) database was searched and screened for the active ingredients of all drugs in XJD. The Uniport database was used to retrieve possible gene targets for the therapeutic effects of XJD. GeneCards, PharmGKB, TTD, and OMIM databases were used to retrieve XJD-related gene targets. A herb-compound-protein network and a protein-protein interaction (PPI) network were constructed, and hub genes were screened for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, molecular docking was performed to validate the interrelationship between disease target proteins and active drug components. Results. A total of 135 XJD potential action targets, 5097 UC-related gene targets, and 103 XJD-UC intersection gene targets were screened. The hub gene targets of XJD that exert therapeutic effects on UC are RB1, MAPK1, TP53, JUN, NR3C1, MAPK3, and ESR1. GO enrichment analysis showed 741 biofunctional enrichments, and KEGG enrichment analysis showed 124 related pathway enrichments. Molecular docking showed that the active components of XJD (β-sitosterol, kaempferol, formononetin, quercetin, and luteolin) showed good binding activities to five of the six hub gene targets. Discussion. The active ingredients of XJD (β-sitosterol, kaempferol, formononetin, quercetin, and luteolin) may regulate the inflammatory and oxidative stress-related pathways of colon cells during the course of UC by binding to the hub gene targets. This may be a potential mechanism of XJD in the treatment of UC.

scholarly journals Exploration of the Potential Mechanism of Tao Hong Si Wu Decoction for the Treatment of Breast Cancer Based on Network Pharmacology and In Vitro Experimental Verification

2021 ◽  
Vol 11 ◽  
Author(s):  
Shi Huang ◽  
Yan Chen ◽  
Lingyu Pan ◽  
Changyi Fei ◽  
Ni Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Proliferation ◽  
Network Pharmacology ◽  
Signal Pathways ◽  
Therapeutic Effects ◽  
Dependent Manner ◽  
Potential Mechanism ◽  
Active Ingredients ◽  
The Core

BackgroundTao Hong Si Wu Decoction (THSWD) is a well-known traditional Chinese medicine used clinically alone or combined with drugs to treat breast cancer. However, there has been no study to date on the underlying mechanisms of its therapeutic effects.ObjectivesTo explore the potential mechanism of THSWD for the treatment of breast cancer using network pharmacology and experimental research.MethodsThe active ingredients of THSWD were screened according to Lipinski’s rule of five based on the 107 ingredients of THSWD identified by UPLC-Q-TOF-MSE. The targets of THSWD and breast cancer from multiple databases were collected, and a Compound-Target-Pathway network based on protein-protein interaction (PPI) was constructed. Gene ontology (GO) analysis and KEGG pathway analysis were performed via the DAVID server. Molecular docking studies verified the selected key ingredients and key targets. The results of network pharmacology were verified by in vitro experiments. Including the effects of THSWD drug-containing rat serum (THSWD serum) on cell proliferation, and on the targets HRAS, MAPK1, AKT1, GRB2, and MAPK14 were assayed by RT-qPCR and Western blot assays.ResultsIn total, 27 active ingredients including 8 core components, were obtained from 107 ingredients and 218 THSWD target genes for the treatment of breast cancer were identified. THSWD is active in the treatment of breast cancer by targeting Ras, FoxO, PI3K-Akt and other signaling pathways. MCF-7 and MDA-MB-231 cell proliferation was inhibited by THSWD serum in a time and concentration dependent manner. THSWD could regulated the RNA and protein expression of core targets HRAS, MAPK1, AKT1, GRB2, and MAPK14 for treatment of breast cancer.ConclusionThe results of network pharmacology study showed that THSWD is active against breast cancer by intervening with multiple targets and pathways. Luteolin, kaempferol, senkyunolide E, and other 8 compounds may be the core active ingredients of THSWD in the treatment of breast cancer. THSWD treatment of breast cancer may be related to targeting Ras, FoxO, PI3K-Akt, and other signal pathways associated with the core targets HRAS, MAPK1, AKT1, GRB2, and MAPK14.

scholarly journals Potential Mechanism of Guizhi Decoction in Hypertension Treatment Based on Network Pharmacology and Dahl Salt-Sensitive Rat Model

2020 ◽  
Author(s):  
Ji-ye Chen ◽  
Yong-jian Zhang ◽  
Yong-cheng Wang ◽  
Guo-feng Zhou ◽  
Jin-long Yang ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Rat Model ◽  
Cardiac Fibrosis ◽  
Matrix Metalloproteinase 2 ◽  
Network Pharmacology ◽  
Therapeutic Effects ◽  
Potential Mechanism ◽  
Active Ingredients ◽  
Active Compounds ◽  
Guizhi Decoction

Abstract Introduction: Guizhi decoction (GZD), a classical Chinese herbal formula, has been widely used to treat hypertension, but its underlying mechanisms remain elusive. The present study aimed to explore its therapeutic effects and potential mechanisms in the treatment of hypertension using network pharmacology and experimental validation.Methods: The active ingredients and corresponding targets were collected from Traditional Chinese Medicine Systems Pharmacology database and Analysis Platform (TCMSP). The targets related to hypertension were identified from multiple databases, and multiple networks were constructed to identify key compounds, hub targets, and main biological processes and pathways of GZD against hypertension. The Surflex-Dock software was used to validate the binding affinity between key targets and their corresponding active compounds. The Dahl salt-sensitive rat model was used to evaluate the therapeutic effects of GZD on hypertension. Results: A total of 112 active ingredients, 222 targets of GZD and 341 hypertension- related targets were obtained. Furthermore, 56 overlapping targets were identified, five of which were determined as the hub targets to perform experimental verification, including interleukin 6 (IL-6), C-C motif chemokine 2 (CCL2), IL-1β, matrix metalloproteinase 2(MMP-2), and MMP9. Pathway enrichment results indicated that 56 overlapping targets mainly enriched in several inflammation pathways such as the tumor necrosis factor (TNF) signaling pathway, toll-like receptor (TLR) signaling pathway and nuclear factor kappa-B (NF-κB) signaling pathway. Molecular docking confirmed that most active compounds of GZD showed tight binding ability with the key targets. Experimental results demonstrated that compared with the group fed a high-salt diet in this study, the GZD improved blood pressure, reduced the area of cardiac fibrosis, and inhibited the expression of IL6, CCL2, IL1β, MMP2 and MMP9 in rats.Conclusions: The potential mechanism of the therapeutic effect of GZD on hypertension may be attributed to the regulation of cardiac inflammation and fibrosis.

scholarly journals Exploring the Effects of Changping Decoction on Irritable Bowel Syndrome by Pathway and Pharmacology Network Bioinformatics Analysis

2020 ◽  
Author(s):  
Guo-Jie Hu ◽  
Ding Li ◽  
Shi-Fang Li ◽  
Xiao-Yuan Li ◽  
Xiao-Wei Sun ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Signaling Pathways ◽  
Network Pharmacology ◽  
Potential Mechanism ◽  
Active Ingredients ◽  
Hub Genes ◽  
Withdrawal Reflex ◽  
Irritable Bowel

Abstract Background An increasing body of research has confirmed the effectiveness of Traditional Chinese Medicine (TCM) for the treatment of irritable bowel syndrome (IBS).Methods We explored the potential mechanism of Changping decoction (CPD) in the treatment of IBS through pathway analysis based on a network pharmacology approach. Public databases, including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Gene Expression Omnibus, and STRING, were used to screen the active ingredients and targets of CPD. Enrichment analysis was performed using the R-3.6.0 software to expound the biological functions and related pathways of CPD targets. The Cytoscape software was used to construct a “disease-CPD-target” network and identify hub genes of CPD relevant for the treatment of IBS. Employing rat models, pathological observation and abdominal withdrawal reflex tests were used to verify the effectiveness of CPD in the treatment of IBS. Immunohistochemistry was used to confirm the relationship between the CPD treatment and hub genes.Results Network pharmacological analysis of CPD for the treatment of IBS identified 159 active ingredients. A total of 118 key targets were identified, including MAPK8, VEGFA, PTGS2, and others. A series of signaling pathways, such as MAPK, Kaposi sarcoma-associated herpesvirus infection, and IL-17 signaling pathway were found to play an important role in the therapeutic mechanism of CPD in the treatment of IBS. Pathological observation and abdominal withdrawal reflex tests confirmed that the symptoms of IBS in rats were relieved by CPD. Moreover, immunohistochemistry confirmed that CPD could inhibit the expression of inflammation-associated factors, such as VEGFA, MAPK8, and PTGS2.Conclusions Based on network pharmacology analysis, the present study provides insights into the potential mechanism of CPD in the treatment of IBS after successfully screening for associated key target genes and signaling pathways. These findings establish a theoretical basis for the development of CPD-derived therapeutics.

scholarly journals Network pharmacology and molecular docking study on the active ingredients of qidengmingmu capsule for the treatment of diabetic retinopathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mingxu Zhang ◽  
Jiawei Yang ◽  
Xiulan Zhao ◽  
Ying Zhao ◽  
Siquan Zhu
Keyword(s):  
Diabetic Retinopathy ◽  
Molecular Docking ◽  
Molecular Mechanisms ◽  
Hypoxia Inducible Factor ◽  
Enrichment Analysis ◽  
Docking Study ◽  
Network Pharmacology ◽  
Biological Processes ◽  
Active Ingredients ◽  
Molecular Docking Study

AbstractDiabetic retinopathy (DR) is a leading cause of irreversible blindness globally. Qidengmingmu Capsule (QC) is a Chinese patent medicine used to treat DR, but the molecular mechanism of the treatment remains unknown. In this study, we identified and validated potential molecular mechanisms involved in the treatment of DR with QC via network pharmacology and molecular docking methods. The results of Ingredient-DR Target Network showed that 134 common targets and 20 active ingredients of QC were involved. According to the results of enrichment analysis, 2307 biological processes and 40 pathways were related to the treatment effects. Most of these processes and pathways were important for cell survival and were associated with many key factors in DR, such as vascular endothelial growth factor-A (VEGFA), hypoxia-inducible factor-1A (HIF-1Α), and tumor necrosis factor-α (TNFα). Based on the results of the PPI network and KEGG enrichment analyses, we selected AKT1, HIF-1α, VEGFA, TNFα and their corresponding active ingredients for molecular docking. According to the molecular docking results, several key targets of DR (including AKT1, HIF-1α, VEGFA, and TNFα) can form stable bonds with the corresponding active ingredients of QC. In conclusion, through network pharmacology methods, we found that potential biological mechanisms involved in the alleviation of DR by QC are related to multiple biological processes and signaling pathways. The molecular docking results also provide us with sound directions for further experiments.

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.

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