Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging

Studies have shown that Huangqi (HQ) has anti-aging efficacy. However, its active ingredients and mechanisms for anti-aging are still unclear. In this study, we will systematically screen the active ingredients of HQ and explore the possible mechanism of HQ in prevention from aging through network p...

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Published in:Medicine (Baltimore) 2021-04, Vol.100 (17), p.e25660-e25660
Main Authors: Lan, Siyu, Duan, Jie, Zeng, Nan, Yu, Bin, Yang, Xuping, Ning, Hong, Huang, Yilan, Rao, Youyi
Format: Article
Language:English
Subjects:
Aging - drug effects
Databases, Factual
Databases, Genetic
Drugs, Chinese Herbal - pharmacology
Gene Ontology
Humans
Medicine, Chinese Traditional
Observational Study
Protein Interaction Maps - drug effects
Signal Transduction - drug effects
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Summary:Studies have shown that Huangqi (HQ) has anti-aging efficacy. However, its active ingredients and mechanisms for anti-aging are still unclear. In this study, we will systematically screen the active ingredients of HQ and explore the possible mechanism of HQ in prevention from aging through network pharmacology technology.The main active ingredients of HQ were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The possible targets were predicted by TCMSP. The related targets for aging were obtained from GeneCards (The Human Gene Database) and Online Mendelian Inheritance in Man (OMIM) database. The common targets of HQ and aging were obtained using R 3.6.3 software. The protein-protein interaction (PPI) network and the ingredient-target-disease network were constructed using Cytoscape 3.7.2 software for visualization. In addition, the Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation of potential targets were performed using R 3.6.3 software.Based on the screening conditions, 16 active ingredients and 28 drug targets were obtained. The PPI network contained 29 proteins, including PTGS2, AR, NOS2, and so on. GO functional enrichment analysis obtained 40 GO items (P 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000025660