Study on pharmacodynamic mechanism of compound Shuanghuanglian in prevention and treatment of pneumonia based on network pharmacology and association analysis

2021 ◽  
Vol 4 (3) ◽  
pp. 12
Author(s):  
XiaoLin Zhang ◽  
Cao Di ◽  
Long Zhang ◽  
ChaoChao Hua ◽  
DeHui Ma ◽  
...  
Keyword(s):  
Association Analysis ◽  
Network Pharmacology ◽  
Prevention And Treatment

scholarly journals A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Jie-shu You ◽  
Chen-yue Li ◽  
Wei Chen ◽  
Xia-lin Wu ◽  
Li-jie Huang ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Disease Prevention ◽  
Network Pharmacology ◽  
Prevention And Treatment

scholarly journals A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao

2020 ◽  
Author(s):  
Jieshu You ◽  
Chen-yue Li ◽  
Wei Chen ◽  
Xia-lin Wu ◽  
Li-jie Huang ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Kegg Pathway ◽  
Herbal Medicines ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Resistance Pathway ◽  
Prevention And Treatment ◽  
Ad Prevention

Abstract Background and objective: As the pathological mechanisms of AD are complex, increasing evidence have demonstrated Chinese Medicine with multi-ingredients and multi-targets may be more suitable for the treatment of diseases with complex pathogenesis. Therefore, the study was to preliminarily decipher the bioactive compounds and potential mechanisms of Qiong Yu Gao (QYG) for AD prevention and treatment by an integrated network pharmacology approach. Methods: Putative ingredients of QYG and significant genes of AD were retrieved from public database after screening. Then QYG ingredients target proteins/genes were obtained by target fishing. Compound-target-disease network was constructed using Cytoscape to decipher the mechanism of QYG for AD. KEGG pathway and GO enrichment analysis were performed to investigate the molecular mechanisms and pathways related to QYG for AD treatments. Results: Finally, 70 compounds and 511 relative drug targets were collected. In which, 17 representative direct targets were found. Gene ontology enrichment analysis revealed that the adenylate cyclase-inhibiting G-protein coupled acetylcholine receptor signaling pathway was the key biological processes and were regulated simultaneously by the 17 direct targets. The KEGG pathway enrichment analysis found that three signaling pathways were closely related to AD prevention and treatment by QYG, including PI3K-Akt signaling pathway, regulation of actin cytoskeleton pathway and insulin resistance pathway. Conclusion: This study demonstrated that QYG exerted the effect of preventing and treating AD by regulating multi-targets with multi-components. Furthermore, the study demonstrated that a network pharmacology-based approach was useful for elucidation of the interrelationship between complex diseases and interventions of Chinese herbal medicines.

Traditional Chinese Medicine Network Pharmacology in Cardiovascular Precision Medicine

2020 ◽  
Vol 26 ◽  
Author(s):  
Li Gao ◽  
Min Cao ◽  
Jia-qi Li ◽  
Xue-mei Qin ◽  
Jian-song Fang
Keyword(s):  
Cardiovascular Disease ◽  
Chinese Medicine ◽  
Cardiovascular Diseases ◽  
Traditional Chinese Medicine ◽  
Precision Medicine ◽  
Human Health ◽  
Mechanism Of Action ◽  
Network Pharmacology ◽  
Metabolic Characteristics ◽  
Prevention And Treatment

: Cardiovascular disease is a major disease affecting human health, and its pathogenesis is caused by many factors. Through the use of "omics" technology, precision medicine is playing an increasingly important role in the prevention and treatment of cardiovascular diseases. Dialectical treatment with traditional Chinese medicine (TCM）will result in personalized treatment, which is consistent with precision medicine to a certain extent. However, due to the multitarget, multipath, and multistep characteristics of TCM, its mechanism of action is not easy to elucidate. Network pharmacology can be used to predict the mechanism, toxicity and metabolic characteristics of TCM. This review summarizes commonly used bioinformatics resources for cardiovascular diseases and TCM, as well as the opportunities and challenges of TCM in cardiovascular precision medicine, with special emphasis on network pharmacology methods.

scholarly journals Anti-COVID-19 drug screening: Frontier concepts and core technologies

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Hua Luo ◽  
Mingming Zhao ◽  
Dechao Tan ◽  
Chang Liu ◽  
Lin Yang ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Deep Water ◽  
Disease Model ◽  
Network Pharmacology ◽  
Long Period ◽  
Global Pandemic ◽  
The World ◽  
Prevention And Treatment

Abstract The outbreak of COVID-19 has recently evolved into a global pandemic. Up to July 2020, almost every country has confirmed COVID-19 cases reported worldwide. Many leading experts have predicted that the epidemic will persist for relatively a long period of time. Thus far, there have been no remedies proven effective against the disease. As the nation where COVID-19 broke out first, China has adopted a combination of traditional Chinese medicine and western medicine to fight against the disease, and has achieved significant clinical result. Up to now, the COVID-19 pandemic has been effectively controlled in China. However, the rest of the world (except for a limited number of countries and regions) is still in deep water. This paper thoroughly summarizes interdisciplinary notions and techniques, including disease model, biochip, network pharmacology, and molecular docking technology, etc., providing a reference for researchers in the screening of drugs for COVID-19 prevention and treatment. These methodologies may facilitate researchers to screen out more potential drugs for treating COVID-19 pneumonia and to tackle this global crisis.

scholarly journals A Network Pharmacology-Based Study on Alzheimer disease prevention and treatment of Qiong Yu Gao

2020 ◽  
Author(s):  
Jieshu You ◽  
Chen-yue Li ◽  
Wei Chen ◽  
Xia-lin Wu ◽  
Li-jie Huang ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Kegg Pathway ◽  
Herbal Medicines ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Integrated Network ◽  
Resistance Pathway ◽  
Prevention And Treatment

Abstract Background and objective: As the pathological mechanisms of AD is complex, increasing evidence have demonstrated Chinese Medicine with multi-ingredients and multi-targets may be more suitable for the treatment of diseases with complex pathogenesis. Therefore, the study was to preliminarily decipher the bioactive compounds and potential mechanisms of Qiong Yu Gao (QYG) for AD prevention and treatment by an integrated network pharmacology approach. Methods: Putative ingredients of QYG and significant genes of AD were retrieved from public database after screening. Then QYG ingredients target proteins/genes were obtained by target fishing. Compound-target-disease network was constructed using Cytoscape to decipher the mechanism of QYG for AD. KEGG pathway and GO enrichment analysis were performed to investigate the molecular mechanisms and pathways related to QYG for AD treatments. Results: Finally, 70 compounds and 511 relative drug targets were collected. In which, 17 representative direct targets were found. Gene ontology enrichment analysis revealed that the adenylate cyclase-inhibiting G-protein coupled acetylcholine receptor signaling pathway was the key biological processes and were regulated simultaneously by the 17 direct targets. KEGG pathway enrichment analysis found that three signaling pathways were closely related with AD treatment by QYG, including PI3K-Akt signaling pathway, regulation of actin cytoskeleton pathway and insulin resistance pathway. Conclusion: This study demonstrated that QYG exerted the effect of treating AD by regulating multi-targets with multi-components. Furthermore, the study demonstrated that a network pharmacology-based approach was useful for elucidation of the interrelationship between complex diseases and interventions of Chinese herbal medicines.

scholarly journals Analysis of the mechanism of Shufeng Jiedu capsule prevention and treatment for COVID-19 by network pharmacology tools

2020 ◽  
Vol 40 ◽  
pp. 101241
Author(s):  
Haijun Xiong ◽  
Zhaowei Dong ◽  
Guanhua Lou ◽  
Qingxia Gan ◽  
Jin Wang ◽  
...  
Keyword(s):  
Network Pharmacology ◽  
Prevention And Treatment

scholarly journals Network pharmacology study of vaccarin for the prevention and treatment of postmenopausal osteoporosis

2020 ◽  
Author(s):  
Mengying Bao ◽  
Yan Dai ◽  
Xiaojun Chen ◽  
Shijie Liao ◽  
Wenyu Feng ◽  
...  
Keyword(s):  
Signaling Pathways ◽  
Postmenopausal Osteoporosis ◽  
Inflammatory Responses ◽  
Enrichment Analysis ◽  
Osteoclast Formation ◽  
Flavonoid Glycoside ◽  
Network Pharmacology ◽  
Biological Processes ◽  
Ppi Network ◽  
Prevention And Treatment

Abstract Background: As the main active ingredient of Semen Vaccariae, vaccarin is a flavonoid glycoside useful for the prevention and treatment of numerous diseases. Our previous study found that vaccarin can reduce osteolysis-induced titanium by inhibiting osteoclast formation. However, the issue of whether vaccarin can prevent and treat postmenopausal osteoporosis remains unclear.Method: In this study, we explored the mechanism of action of vaccarin for the prevention of postmenopausal osteoporosis via a network pharmacological approach. We identified the intersecting targets of osteoporosis-related genes retrieved from multiple disease target databases, as well as targets of potential action of vaccarin retrieved from drug-related databases. We then used the intersectional targets to establish a protein-protein interaction (PPI) network. Finally, we performed bioinformatics analysis to enrich Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.Results：A total of 28 cross targets of vaccarin and osteoporosis were identified. PPI network analysis identified six target proteins, namely, IL-6, TNF, VEGFA, HSP90AA1, CREB1, and IL-2, which may be the key targets of vaccarin against osteoporosis. The 28 intersectional targets were mainly involved in 23 biological processes, such as regulation of apoptosis, positive regulation of neovascularization, and angiogenesis, whereas KEGG enrichment analysis revealed that they were primarily related to 22 different signaling pathways, such as PI3K/Akt pathway, cancer pathway, hepatitis B pathway, and tuberculosis pathway.Conclusion: We used a network pharmacology approach to predict the key targets of vaccarin for the prevention of osteoporosis from a systems perspective. We determined that the signaling pathways were chiefly engaged in different pathological processes affecting differentiation and apoptosis of bone rebuilding cells, endocrine metabolic disorders, inflammatory responses, and other disease interactions. This study provides a theoretical basis and therapeutic ideas for the treatment of postmenopausal osteoporosis and offers promising directions for further research on the regulatory mechanism of vaccarin.

Sign in / Sign up

Export Citation Format

Share Document