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Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer

BACKGROUND: Triptonodiol is a very promising antitumor drug candidate extracted from the Chinese herbal remedy Tripterygium wilfordii Hook. F., and related studies are underway. METHODS: To explore the mechanism of triptonodiol for lung cancer treatment, we used network pharmacology, molecular docki...

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Autores principales: Jin, Feng, Ni, Xiaochen, Yu, Shilong, Jiang, Xiaomin, Zhou, Jun, Mao, Defang, Liu, Yanqing, Wu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683219/
https://www.ncbi.nlm.nih.gov/pubmed/38017514
http://dx.doi.org/10.1186/s40001-023-01453-4
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author Jin, Feng
Ni, Xiaochen
Yu, Shilong
Jiang, Xiaomin
Zhou, Jun
Mao, Defang
Liu, Yanqing
Wu, Feng
author_facet Jin, Feng
Ni, Xiaochen
Yu, Shilong
Jiang, Xiaomin
Zhou, Jun
Mao, Defang
Liu, Yanqing
Wu, Feng
author_sort Jin, Feng
collection PubMed
description BACKGROUND: Triptonodiol is a very promising antitumor drug candidate extracted from the Chinese herbal remedy Tripterygium wilfordii Hook. F., and related studies are underway. METHODS: To explore the mechanism of triptonodiol for lung cancer treatment, we used network pharmacology, molecular docking, and ultimately protein validation. Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis were performed through the David database. Molecular docking was performed using PyMoL2.3.0 and AutoDock Vina software. After screening, the major targets of triptonodiol were identified for the treatment of lung cancer. Target networks were established, Protein–protein interaction (PPI) network topology was analyzed, then KEGG pathway enrichment analysis was performed. Useful proteins were screened by survival analysis, and Western blot analysis was performed. RESULTS: Triptonodiol may regulate cell proliferation, drug resistance, metastasis, anti-apoptosis, etc., by acting on glycogen synthase kinase 3 beta (GSK3B), protein kinase C (PKC), p21-activated kinase (PAK), and other processes. KEGG pathway enrichment analysis showed that these targets were associated with tumor, erythroblastic oncogene B (ErbB) signaling, protein phosphorylation, kinase activity, etc. Molecular docking showed that the target protein GSK has good binding activity to the main active component of triptonodiol. The protein abundance of GSK3B was significantly downregulated in non-small-cell lung cancer cells H1299 and A549 treated with triptonodiol for 24 h. CONCLUSION: The cellular-level studies combined with network pharmacology and molecular docking approaches provide new ideas for the development and therapeutic application of triptonodiol, and identify it as a potential GSK inhibitor.
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spelling pubmed-106832192023-11-30 Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer Jin, Feng Ni, Xiaochen Yu, Shilong Jiang, Xiaomin Zhou, Jun Mao, Defang Liu, Yanqing Wu, Feng Eur J Med Res Research BACKGROUND: Triptonodiol is a very promising antitumor drug candidate extracted from the Chinese herbal remedy Tripterygium wilfordii Hook. F., and related studies are underway. METHODS: To explore the mechanism of triptonodiol for lung cancer treatment, we used network pharmacology, molecular docking, and ultimately protein validation. Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis were performed through the David database. Molecular docking was performed using PyMoL2.3.0 and AutoDock Vina software. After screening, the major targets of triptonodiol were identified for the treatment of lung cancer. Target networks were established, Protein–protein interaction (PPI) network topology was analyzed, then KEGG pathway enrichment analysis was performed. Useful proteins were screened by survival analysis, and Western blot analysis was performed. RESULTS: Triptonodiol may regulate cell proliferation, drug resistance, metastasis, anti-apoptosis, etc., by acting on glycogen synthase kinase 3 beta (GSK3B), protein kinase C (PKC), p21-activated kinase (PAK), and other processes. KEGG pathway enrichment analysis showed that these targets were associated with tumor, erythroblastic oncogene B (ErbB) signaling, protein phosphorylation, kinase activity, etc. Molecular docking showed that the target protein GSK has good binding activity to the main active component of triptonodiol. The protein abundance of GSK3B was significantly downregulated in non-small-cell lung cancer cells H1299 and A549 treated with triptonodiol for 24 h. CONCLUSION: The cellular-level studies combined with network pharmacology and molecular docking approaches provide new ideas for the development and therapeutic application of triptonodiol, and identify it as a potential GSK inhibitor. BioMed Central 2023-11-28 /pmc/articles/PMC10683219/ /pubmed/38017514 http://dx.doi.org/10.1186/s40001-023-01453-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jin, Feng
Ni, Xiaochen
Yu, Shilong
Jiang, Xiaomin
Zhou, Jun
Mao, Defang
Liu, Yanqing
Wu, Feng
Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title_full Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title_fullStr Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title_full_unstemmed Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title_short Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
title_sort network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683219/
https://www.ncbi.nlm.nih.gov/pubmed/38017514
http://dx.doi.org/10.1186/s40001-023-01453-4
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