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Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy

OBJECTIVE: In this study, we used network pharmacology to explore the possible therapeutic mechanism underlying the treatment of diabetic nephropathy with Yishen capsules. METHODS: The active chemical constituents of Yishen capsules were acquired using the Traditional Chinese Medicine Systems Pharma...

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Autores principales: Fang, Jingai, Wang, Chendan, Zheng, Jie, Liu, Yuxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467320/
https://www.ncbi.nlm.nih.gov/pubmed/36094934
http://dx.doi.org/10.1371/journal.pone.0273498
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author Fang, Jingai
Wang, Chendan
Zheng, Jie
Liu, Yuxiang
author_facet Fang, Jingai
Wang, Chendan
Zheng, Jie
Liu, Yuxiang
author_sort Fang, Jingai
collection PubMed
description OBJECTIVE: In this study, we used network pharmacology to explore the possible therapeutic mechanism underlying the treatment of diabetic nephropathy with Yishen capsules. METHODS: The active chemical constituents of Yishen capsules were acquired using the Traditional Chinese Medicine Systems Pharmacology platform and the Encyclopedia of Traditional Chinese Medicine. Component target proteins were then searched and screened in the BATMAN database. Target proteins were cross-validated using the Comparative Toxicogenomics Database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the target proteins were performed. Then, protein–protein interaction (PPI) analysis was performed using the STRING database. Finally, a pharmacological network was constructed to show the component-target-pathway relationships. Molecular docking was used to analyse the interaction between drug components and target proteins. RESULTS: In total, 285 active chemical components were found, including 85 intersection targets against DN. In the pharmacological network, 5 key herbs (A. membranaceus, A. sinensis, E. ferox, A. orientale, and R. rosea) and their corresponding 12 key components (beta-sitosterol, beta-carotene, stigmasterol, alisol B, mairin, quercetin, caffeic acid, 1-monolinolein, kaempferol, jaranol, formononetin, and calycosin) were screened. Furthermore, the 12 key components were related to 24 target protein nodes (e.g., AGT, AKT1, AKT2, BCL2, NFKB1, and SIRT1) and enriched in 24 pathway nodes (such as the NF-kappa B, AGE-RAGE, toll-like receptor, and relaxin signaling pathways). Molecular docking revealed that hydrogen bond was formed between drug components and target proteins. CONCLUSION: In conclusion, the active constituents of Yishen capsules modulate targets or signaling pathways in DN pathogenesis.
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spelling pubmed-94673202022-09-13 Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy Fang, Jingai Wang, Chendan Zheng, Jie Liu, Yuxiang PLoS One Research Article OBJECTIVE: In this study, we used network pharmacology to explore the possible therapeutic mechanism underlying the treatment of diabetic nephropathy with Yishen capsules. METHODS: The active chemical constituents of Yishen capsules were acquired using the Traditional Chinese Medicine Systems Pharmacology platform and the Encyclopedia of Traditional Chinese Medicine. Component target proteins were then searched and screened in the BATMAN database. Target proteins were cross-validated using the Comparative Toxicogenomics Database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the target proteins were performed. Then, protein–protein interaction (PPI) analysis was performed using the STRING database. Finally, a pharmacological network was constructed to show the component-target-pathway relationships. Molecular docking was used to analyse the interaction between drug components and target proteins. RESULTS: In total, 285 active chemical components were found, including 85 intersection targets against DN. In the pharmacological network, 5 key herbs (A. membranaceus, A. sinensis, E. ferox, A. orientale, and R. rosea) and their corresponding 12 key components (beta-sitosterol, beta-carotene, stigmasterol, alisol B, mairin, quercetin, caffeic acid, 1-monolinolein, kaempferol, jaranol, formononetin, and calycosin) were screened. Furthermore, the 12 key components were related to 24 target protein nodes (e.g., AGT, AKT1, AKT2, BCL2, NFKB1, and SIRT1) and enriched in 24 pathway nodes (such as the NF-kappa B, AGE-RAGE, toll-like receptor, and relaxin signaling pathways). Molecular docking revealed that hydrogen bond was formed between drug components and target proteins. CONCLUSION: In conclusion, the active constituents of Yishen capsules modulate targets or signaling pathways in DN pathogenesis. Public Library of Science 2022-09-12 /pmc/articles/PMC9467320/ /pubmed/36094934 http://dx.doi.org/10.1371/journal.pone.0273498 Text en © 2022 Fang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fang, Jingai
Wang, Chendan
Zheng, Jie
Liu, Yuxiang
Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title_full Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title_fullStr Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title_full_unstemmed Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title_short Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
title_sort network pharmacology study of yishen capsules in the treatment of diabetic nephropathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467320/
https://www.ncbi.nlm.nih.gov/pubmed/36094934
http://dx.doi.org/10.1371/journal.pone.0273498
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