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Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments

Aim: We aimed to reveal the function of celastrol in the treatment of ovarian cancer using network pharmacology and molecular docking. Background: Ovarian cancer is a growth of cells that forms in the ovaries. Celastrol is a useful bioactive compound derived from the root of the thunder god vine. Me...

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Autores principales: Wang, Xuan, Liu, Qiong, Wu, Sisi, Xu, Nana, Li, Hua, Feng, Aihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971755/
https://www.ncbi.nlm.nih.gov/pubmed/35370699
http://dx.doi.org/10.3389/fphar.2022.739478
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author Wang, Xuan
Liu, Qiong
Wu, Sisi
Xu, Nana
Li, Hua
Feng, Aihua
author_facet Wang, Xuan
Liu, Qiong
Wu, Sisi
Xu, Nana
Li, Hua
Feng, Aihua
author_sort Wang, Xuan
collection PubMed
description Aim: We aimed to reveal the function of celastrol in the treatment of ovarian cancer using network pharmacology and molecular docking. Background: Ovarian cancer is a growth of cells that forms in the ovaries. Celastrol is a useful bioactive compound derived from the root of the thunder god vine. Method: Celastrol and ovarian cancer targets were determined by analyzing datasets. Protein–protein interaction (PPI) networks were obtained with network pharmacology. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Molecular docking using SWISS-MODEL, CB-Dock and Discovery Studio was conducted. A methylthiazolyltetrazolium bromide (MTT) assay was performed to evaluate cell proliferation. Cell apoptosis and cell cycle were measured with a fluorescence assay. Reverse transcription PCR (RT-PCR) and Western blot were performed to measure the expression of core targets. Result: Celastrol possessed 29 potential targets, while ovarian cancer possessed 471 potential targets. The core PPI network contained 163 nodes and 4,483 edges. The biological processes identified in the GO analysis indicated that the targets were related with the cellular response to DNA damage stimulus, DNA recombination, and cell proliferation, among other processes. The KEGG analysis indicated that the pathways were related with the cell cycle, viral carcinogenesis, and MAPK signaling pathway, among others. The three core targets shared between the core PPI network and celastrol targets were MYC, CDC37, and FN1. Celastrol directly combined with the targets according to the results from CB-Dock and Discovery Studio. Celastrol inhibited ovarian cancer cell proliferation and promoted ovarian cancer cell apoptosis in a dose-dependent manner. RT-PCR and Western blot analyses showed that celastrol inhibited core target expression. In addition, celastrol also influenced the related inflammatory signaling pathways in ovarian cancer cells. Conclusion: Celastrol exerts effective antitumor activity toward ovarian cancer. Celastrol regulated cell proliferation, DNA repair and replication, apoptotic processes, and inflammatory responses in ovarian cancer cells.
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spelling pubmed-89717552022-04-02 Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments Wang, Xuan Liu, Qiong Wu, Sisi Xu, Nana Li, Hua Feng, Aihua Front Pharmacol Pharmacology Aim: We aimed to reveal the function of celastrol in the treatment of ovarian cancer using network pharmacology and molecular docking. Background: Ovarian cancer is a growth of cells that forms in the ovaries. Celastrol is a useful bioactive compound derived from the root of the thunder god vine. Method: Celastrol and ovarian cancer targets were determined by analyzing datasets. Protein–protein interaction (PPI) networks were obtained with network pharmacology. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Molecular docking using SWISS-MODEL, CB-Dock and Discovery Studio was conducted. A methylthiazolyltetrazolium bromide (MTT) assay was performed to evaluate cell proliferation. Cell apoptosis and cell cycle were measured with a fluorescence assay. Reverse transcription PCR (RT-PCR) and Western blot were performed to measure the expression of core targets. Result: Celastrol possessed 29 potential targets, while ovarian cancer possessed 471 potential targets. The core PPI network contained 163 nodes and 4,483 edges. The biological processes identified in the GO analysis indicated that the targets were related with the cellular response to DNA damage stimulus, DNA recombination, and cell proliferation, among other processes. The KEGG analysis indicated that the pathways were related with the cell cycle, viral carcinogenesis, and MAPK signaling pathway, among others. The three core targets shared between the core PPI network and celastrol targets were MYC, CDC37, and FN1. Celastrol directly combined with the targets according to the results from CB-Dock and Discovery Studio. Celastrol inhibited ovarian cancer cell proliferation and promoted ovarian cancer cell apoptosis in a dose-dependent manner. RT-PCR and Western blot analyses showed that celastrol inhibited core target expression. In addition, celastrol also influenced the related inflammatory signaling pathways in ovarian cancer cells. Conclusion: Celastrol exerts effective antitumor activity toward ovarian cancer. Celastrol regulated cell proliferation, DNA repair and replication, apoptotic processes, and inflammatory responses in ovarian cancer cells. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8971755/ /pubmed/35370699 http://dx.doi.org/10.3389/fphar.2022.739478 Text en Copyright © 2022 Wang, Liu, Wu, Xu, Li and Feng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Wang, Xuan
Liu, Qiong
Wu, Sisi
Xu, Nana
Li, Hua
Feng, Aihua
Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title_full Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title_fullStr Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title_full_unstemmed Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title_short Identifying the Effect of Celastrol Against Ovarian Cancer With Network Pharmacology and In Vitro Experiments
title_sort identifying the effect of celastrol against ovarian cancer with network pharmacology and in vitro experiments
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971755/
https://www.ncbi.nlm.nih.gov/pubmed/35370699
http://dx.doi.org/10.3389/fphar.2022.739478
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