scholarly journals A Network Pharmacology Approach to Determine Active Compounds and Action Mechanisms of Ge-Gen-Qin-Lian Decoction for Treatment of Type 2 Diabetes

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Huiying Li ◽  
Linhua Zhao ◽  
Bo Zhang ◽  
Yuyu Jiang ◽  
Xu Wang ◽  
...  
Keyword(s):  
Therapeutic Strategies ◽  
Mechanisms Of Action ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Action Mechanisms ◽  
Powerful Means ◽  
Bioactive Ingredients ◽  
Herbal Formulae ◽  
Target Profile

Traditional Chinese medicine (TCM) herbal formulae can be valuable therapeutic strategies and drug discovery resources. However, the active ingredients and action mechanisms of most TCM formulae remain unclear. Therefore, the identification of potent ingredients and their actions is a major challenge in TCM research. In this study, we used a network pharmacology approach we previously developed to help determine the potential antidiabetic ingredients from the traditional Ge-Gen-Qin-Lian decoction (GGQLD) formula. We predicted the target profiles of all available GGQLD ingredients to infer the active ingredients by clustering the target profile of ingredients with FDA-approved antidiabetic drugs. We also applied network target analysis to evaluate the links between herbal ingredients and pharmacological actions to help explain the action mechanisms of GGQLD. According to the predicted results, we confirmed that a novel antidiabetic ingredient fromPuerariae Lobatae radix(Ge-Gen), 4-Hydroxymephenytoin, increased the insulin secretion in RIN-5F cells and improved insulin resistance in 3T3-L1 adipocytes. The network pharmacology strategy used here provided a powerful means for identifying bioactive ingredients and mechanisms of action for TCM herbal formulae, including Ge-Gen-Qin-Lian decoction.

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 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 Network Pharmacology-based Strategy for Predicting Active Ingredients and Potential Targets of Coptis Chinensis Franch in Polycystic Ovary Syndrome

2020 ◽  
Author(s):  
Jianxiong Ma ◽  
Miaoyong Ye ◽  
Ke Ma ◽  
Kang Zhou ◽  
YingYing Zhang ◽  
...  
Keyword(s):  
Gene Ontology ◽  
Chinese Medicine ◽  
Polycystic Ovary ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Coptis Chinensis ◽  
Ovary Syndrome ◽  
R Language ◽  
Bioactive Ingredients

Abstract Background: Polycystic ovary syndrome (PCOS) is a disease that causes low fertility in females. Coptis chinensis (CC) has been used to clear away heat and dampness, purify fire, and detoxify in traditional Chinese medicine (TCM). Although CC has demonstrated efficacy against PCOS in clinical practice, there is no available data regarding the bioactive ingredients, component targets, and confirmed molecular mechanism of this drug combination.Methods: A network pharmacology approach was applied to analyze the bioactive ingredients, component targets, and core signaling pathways of CC. The TCM systems pharmacology database and analysis platform (TCMSP) was used to screen effective active ingredients and targets of CC. The GeneCards, OMIM, and PharmGkb databases was utilized to screen disease targets for PCOS. R language software was used to screen common targets of drugs and diseases. Cytoscape software (version 3.7.1) was utilized to build a drug-active ingredient-disease target interaction network, and the STRING platform was utilized to construct a common target protein-protein interaction network, including 102 nodes and 221 edges. OmicShare tools was used to analysis Gene ontology (GO) biological function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) path enrichment. Schrodinger software was used to evaluate the interaction between active components and their targets and explore binding modes.Results: 14 effective active ingredients and 218 targets of CC were screened by TCMSP platform. 3517 disease targets for PCOS were obtianed by the disease database and 102 common targets of drugs and diseases were screened through R language software. Key targets of CC for the treatment of PCOS included JUN, MAPK, IL-6, CXCL8, FOS, and IL1B. A total of 123 Gene Ontology (GO) terms and 129 pathways were acquired by analyzing the enrichment of GO and KEGG. It is speculated that the AGEs/RAGE, TNF, IL-17, MAPK and HIF-1 signaling pathways are closely related to PCOS and may be the core pathways involved in PCOS. The molecular docking results showed that quercetin has a higher degree of binding to core targets (eg: IL-6, IL- 1β, MAPK, CXCL8) related to the inflammatory pathway.Conclusions: This preliminary study verified the basic pharmacological effects and mechanisms of CC, a Chinese medicine, in the treatment of PCOS. Particularly, the effect of CC on inflammation and glucose metabolism pathway was noteworthy. This study provides new insights for the systematic exploration of the mechanism of action of Chinese medicine.

Network Pharmacology and Reverse Molecular Docking-Based Prediction of the Molecular Targets and Pathways for Avicularin Against Cancer

2019 ◽  
Vol 22 (1) ◽  
pp. 4-12 ◽  
Author(s):  
Chaohui Duan ◽  
Yang Li ◽  
Xiaorui Dong ◽  
Weibin Xu ◽  
Yingli Ma
Keyword(s):  
Molecular Docking ◽  
Molecular Mechanisms ◽  
Mapk Signaling ◽  
Network Pharmacology ◽  
Literature Mining ◽  
Protein Database ◽  
Topology Analysis ◽  
Powerful Means ◽  
Bioactive Ingredients

Aim and Objective: Avicularin has been found to inhibit the proliferation of HepG-2 cells in vitro in the screening of our laboratory. We intended to explain the molecular mechanism of this effect. Therefore, the combined methods of reverse molecular docking and network pharmacology were used in order to illuminate the molecular mechanisms for Avicularin against cancer. Materials and Methods: Potential targets associated with anti-tumor effects of Avicularin were screened by reverse molecular docking, then a protein database was established through constructing the drugprotein network from literature mining data, and the protein-protein network was built through an in-depth exploration of the relationships between the proteins, and then the network topology analysis was performed. Additionally, gene function and signaling pathways were analyzed by Go bio-enrichment and KEGG Pathway. Results: The result showed that Avicularin was closely related to 16 targets associated with cancer, and it may significantly influence the pro-survival signals in MAPK signaling pathway that can activate and regulate a series of cellular activities and participate in the regulation of cell proliferation, differentiation, transformation and apoptosis. Conclusion: The network pharmacology strategy used herein provided a powerful means for the mechanisms of action for bioactive ingredients.

scholarly journals Dipeptidylpeptidase-4 inhibitors in the treatment of diabetes mellitus. Possibilities of cardioprotection

2011 ◽  
Vol 14 (2) ◽  
pp. 59-64 ◽  
Author(s):  
Elena Nikolaevna Trunina ◽  
Nina Alexandrovna Petunina ◽  
Svetlana Alekseevna Chorbinskaya
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Therapeutic Strategies ◽  
Mechanisms Of Action ◽  
Hypoglycemic Agents ◽  
Efficacy And Safety ◽  
Short Run ◽  
Treatment Of Diabetes ◽  
Dipeptidylpeptidase 4

Type 2 diabetes mellitus is a disease in which traditional therapeutic strategies, such as optimization of the lifestyle, intake of metformin and sulfonylureasor glitazone prove secondarily inefficient in the short run. The discovery and use of new hypoglycemic agents, e.g. DPP-4 inhibitors, openup opportunities for the further improvement of glycemic control. This review contains data on mechanisms of action, efficacy and safety of DPP-4inhibitors exemplified by sitagliptin and their possible effects on the cardiovascular system.

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