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Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology
Radix Astragali is widely used in the traditional Chinese medicine with the effect of antiaging. The purpose of this study is to explore the main active ingredients and targets of Radix Astragali against renal aging by network pharmacology and further to verify the mechanism of the main active ingre...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767736/ https://www.ncbi.nlm.nih.gov/pubmed/36561604 http://dx.doi.org/10.1155/2022/6987677 |
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author | Zhang, Ziyuan Fang, Jingai Sun, Dalin Zheng, Yaqin Liu, Xinhui Li, Hui Hu, Yaling Liu, Yuxiang Zhang, Mingyu Liu, Wenyuan Zhang, Xiaodong Liu, Xuejun |
author_facet | Zhang, Ziyuan Fang, Jingai Sun, Dalin Zheng, Yaqin Liu, Xinhui Li, Hui Hu, Yaling Liu, Yuxiang Zhang, Mingyu Liu, Wenyuan Zhang, Xiaodong Liu, Xuejun |
author_sort | Zhang, Ziyuan |
collection | PubMed |
description | Radix Astragali is widely used in the traditional Chinese medicine with the effect of antiaging. The purpose of this study is to explore the main active ingredients and targets of Radix Astragali against renal aging by network pharmacology and further to verify the mechanism of the main active ingredients in vitro. TCMSP, ETCM, and TCMID databases were used to screen active ingredients of Radix Astragali. Targets of active ingredients were predicted using BATMAN-TCM and cross validated using kidney aging-related genes obtained from GeneCards and NCBI database. Pathways enrichment and protein-protein interaction (PPI) analysis were performed on core targets. Additionally, a pharmacological network was constructed based on the active ingredients-targets-pathways. HK-2 cell was treated with D-galactose to generate a cell model of senescence. CCK-8 and β-galactosidase were used to detect the effect of Radix Astragali active components on cell proliferation and aging. ELISA was used to detect the expression of senescence-associated secreted protein (TGF-β and IL-6) in the cell culture supernatant. Western blot was used to detect the expression of key proteins in the SIRT1/p53 pathway. Five active ingredients (Astragaloside I, II, III, IV and choline) were identified from Radix Astragali, and all these active ingredients target a total of 128 genes. Enrichment analysis showed these genes were implicated in 153 KEGG pathways, including the p53, FoxO, and AMPK pathway. 117 proteins and 572 interactions were found in PPI network. TP53 and SIRT1 were two hub genes in PPI network, which interacted with each other. The pharmacological network showed that the five main active ingredients target on some coincident genes, including TP53 and SIRT1. These targeted genes were involved in the p53, FoxO, and AMPK pathway. Proliferation of HK-2 cells was increased by Astragaloside IV treatment compared with that of the D-Gal treatment group. However, the proliferation of the SA-β-gal positive cells were inhibited. The expression of TGF-β and IL-6 in the D-Gal group was higher than that in the normal group, and the treatment of Astragaloside IV could significantly reduce the expression of TGF-β and IL-6. The expression of SIRT1 in the Astragaloside IV group was higher than that in the D-Gal group. However, the expression of p53 and p21 was less in the Astragaloside IV group than that in the D-Gal group. This study suggested that Astragaloside IV is an important active ingredient of Radix Astragali in the treatment of kidney aging via the SITR1-p53 pathway. |
format | Online Article Text |
id | pubmed-9767736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-97677362022-12-21 Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology Zhang, Ziyuan Fang, Jingai Sun, Dalin Zheng, Yaqin Liu, Xinhui Li, Hui Hu, Yaling Liu, Yuxiang Zhang, Mingyu Liu, Wenyuan Zhang, Xiaodong Liu, Xuejun Evid Based Complement Alternat Med Research Article Radix Astragali is widely used in the traditional Chinese medicine with the effect of antiaging. The purpose of this study is to explore the main active ingredients and targets of Radix Astragali against renal aging by network pharmacology and further to verify the mechanism of the main active ingredients in vitro. TCMSP, ETCM, and TCMID databases were used to screen active ingredients of Radix Astragali. Targets of active ingredients were predicted using BATMAN-TCM and cross validated using kidney aging-related genes obtained from GeneCards and NCBI database. Pathways enrichment and protein-protein interaction (PPI) analysis were performed on core targets. Additionally, a pharmacological network was constructed based on the active ingredients-targets-pathways. HK-2 cell was treated with D-galactose to generate a cell model of senescence. CCK-8 and β-galactosidase were used to detect the effect of Radix Astragali active components on cell proliferation and aging. ELISA was used to detect the expression of senescence-associated secreted protein (TGF-β and IL-6) in the cell culture supernatant. Western blot was used to detect the expression of key proteins in the SIRT1/p53 pathway. Five active ingredients (Astragaloside I, II, III, IV and choline) were identified from Radix Astragali, and all these active ingredients target a total of 128 genes. Enrichment analysis showed these genes were implicated in 153 KEGG pathways, including the p53, FoxO, and AMPK pathway. 117 proteins and 572 interactions were found in PPI network. TP53 and SIRT1 were two hub genes in PPI network, which interacted with each other. The pharmacological network showed that the five main active ingredients target on some coincident genes, including TP53 and SIRT1. These targeted genes were involved in the p53, FoxO, and AMPK pathway. Proliferation of HK-2 cells was increased by Astragaloside IV treatment compared with that of the D-Gal treatment group. However, the proliferation of the SA-β-gal positive cells were inhibited. The expression of TGF-β and IL-6 in the D-Gal group was higher than that in the normal group, and the treatment of Astragaloside IV could significantly reduce the expression of TGF-β and IL-6. The expression of SIRT1 in the Astragaloside IV group was higher than that in the D-Gal group. However, the expression of p53 and p21 was less in the Astragaloside IV group than that in the D-Gal group. This study suggested that Astragaloside IV is an important active ingredient of Radix Astragali in the treatment of kidney aging via the SITR1-p53 pathway. Hindawi 2022-12-13 /pmc/articles/PMC9767736/ /pubmed/36561604 http://dx.doi.org/10.1155/2022/6987677 Text en Copyright © 2022 Ziyuan Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Ziyuan Fang, Jingai Sun, Dalin Zheng, Yaqin Liu, Xinhui Li, Hui Hu, Yaling Liu, Yuxiang Zhang, Mingyu Liu, Wenyuan Zhang, Xiaodong Liu, Xuejun Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title | Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title_full | Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title_fullStr | Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title_full_unstemmed | Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title_short | Study on the Mechanism of Radix Astragali against Renal Aging Based on Network Pharmacology |
title_sort | study on the mechanism of radix astragali against renal aging based on network pharmacology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767736/ https://www.ncbi.nlm.nih.gov/pubmed/36561604 http://dx.doi.org/10.1155/2022/6987677 |
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