Network pharmacology implicates traditional Chinese medicine in regulating systemic homeostasis to benefit Alzheimer's disease
Traditional Chinese medicine (TCM) has the characteristics of multi-component, multi-target, and biological systems coordination, which meet the criteria of the network pharmacological application. Therefore, using network pharmacology to discover the relationship between TCM, diseases, and cellular...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Tzu-Chi Medical Journal |
| Subjects: | |
| Online Access: | http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2023;volume=35;issue=2;spage=120;epage=130;aulast=Tsai |
| Summary: | Traditional Chinese medicine (TCM) has the characteristics of multi-component, multi-target, and biological systems coordination, which meet the criteria of the network pharmacological application. Therefore, using network pharmacology to discover the relationship between TCM, diseases, and cellular responses is easily achievable. Aging-induced imbalanced homeostasis is a risk factor for Alzheimer's disease (AD), a neuronal disease regulated by multiple genes. Meta-analysis of TCM in metabolic regulation to improve symptoms of AD helps understand the pharmacological effects. The drug targets of TCM can be investigated using a holistic network pharmacology approach to find potential modulators involved in AD-related metabolic pathways. Based on the theoretical prediction of TCM for AD, experimental validation is needed to develop pure compounds for specific treatments. |
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| ISSN: | 1016-3190 2223-8956 |