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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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Autores principales: Lan, Siyu, Duan, Jie, Zeng, Nan, Yu, Bin, Yang, Xuping, Ning, Hong, Huang, Yilan, Rao, Youyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084007/
https://www.ncbi.nlm.nih.gov/pubmed/33907130
http://dx.doi.org/10.1097/MD.0000000000025660
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author Lan, Siyu
Duan, Jie
Zeng, Nan
Yu, Bin
Yang, Xuping
Ning, Hong
Huang, Yilan
Rao, Youyi
author_facet Lan, Siyu
Duan, Jie
Zeng, Nan
Yu, Bin
Yang, Xuping
Ning, Hong
Huang, Yilan
Rao, Youyi
author_sort Lan, Siyu
collection PubMed
description 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 < .05). KEGG pathway enrichment analysis obtained 110 aging related pathways (P < .05), including hypoxia inducible factor 1 signaling pathway, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complication, among others. Sixteen effective ingredients of HQ and 28 targets against aging were identified through network pharmacology. Multiple pathways were involved in the effect of HQ on preventing aging.
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spelling pubmed-80840072021-05-01 Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging Lan, Siyu Duan, Jie Zeng, Nan Yu, Bin Yang, Xuping Ning, Hong Huang, Yilan Rao, Youyi Medicine (Baltimore) 4200 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 < .05). KEGG pathway enrichment analysis obtained 110 aging related pathways (P < .05), including hypoxia inducible factor 1 signaling pathway, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complication, among others. Sixteen effective ingredients of HQ and 28 targets against aging were identified through network pharmacology. Multiple pathways were involved in the effect of HQ on preventing aging. Lippincott Williams & Wilkins 2021-04-30 /pmc/articles/PMC8084007/ /pubmed/33907130 http://dx.doi.org/10.1097/MD.0000000000025660 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 4200
Lan, Siyu
Duan, Jie
Zeng, Nan
Yu, Bin
Yang, Xuping
Ning, Hong
Huang, Yilan
Rao, Youyi
Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title_full Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title_fullStr Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title_full_unstemmed Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title_short Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging
title_sort network pharmacology-based screening of the active ingredients and mechanisms of huangqi against aging
topic 4200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084007/
https://www.ncbi.nlm.nih.gov/pubmed/33907130
http://dx.doi.org/10.1097/MD.0000000000025660
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