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Identifying key genes and drug screening for preeclampsia based on gene expression profiles

Preeclampsia (PE) is characterized by gestational hypertension and proteinuria, and is a leading cause of maternal death and perinatal morbidity globally. Although the exact cause of PE remains unclear, several studies have suggested a role for abnormal expression of multiple genes. The aim of the p...

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Autores principales: Xu, Zhengfang, Wu, Chengjiang, Liu, Yanqiu, Wang, Nian, Gao, Shujun, Qiu, Shali, Wang, Zhutao, Ding, Jing, Zhang, Lubin, Wang, Hui, Wu, Weijiang, Wan, Bing, Yu, Jun, Fang, Jie, Yang, Peifang, Shao, Qixiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377100/
https://www.ncbi.nlm.nih.gov/pubmed/32724400
http://dx.doi.org/10.3892/ol.2020.11721
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author Xu, Zhengfang
Wu, Chengjiang
Liu, Yanqiu
Wang, Nian
Gao, Shujun
Qiu, Shali
Wang, Zhutao
Ding, Jing
Zhang, Lubin
Wang, Hui
Wu, Weijiang
Wan, Bing
Yu, Jun
Fang, Jie
Yang, Peifang
Shao, Qixiang
author_facet Xu, Zhengfang
Wu, Chengjiang
Liu, Yanqiu
Wang, Nian
Gao, Shujun
Qiu, Shali
Wang, Zhutao
Ding, Jing
Zhang, Lubin
Wang, Hui
Wu, Weijiang
Wan, Bing
Yu, Jun
Fang, Jie
Yang, Peifang
Shao, Qixiang
author_sort Xu, Zhengfang
collection PubMed
description Preeclampsia (PE) is characterized by gestational hypertension and proteinuria, and is a leading cause of maternal death and perinatal morbidity globally. Although the exact cause of PE remains unclear, several studies have suggested a role for abnormal expression of multiple genes. The aim of the present study was to identify key genes and related pathways, and to screen for drugs that regulate these genes for potential PE therapy. The GSE60438 dataset was acquired from the Gene Expression Omnibus database to analyze differentially expressed genes (DEGs). By constructing a protein-protein interaction network and performing reverse transcription-quantitative PCR verification, proteasome 26S subunit, non-ATPase 14, prostaglandin E synthase 3 and ubiquinol-cytochrome c reductase core protein 2 were identified as key genes in PE. In addition, PE was found to be associated with ‘circadian rhythm’, ‘fatty acid metabolism’, ‘DNA damage response detection of DNA damage’, ‘regulation of DNA repair’ and ‘endothelial cell development’. Through connectivity map analysis of DEGs, furosemide and droperidol were suggested to be therapeutic drugs that may target the hub genes for PE treatment. Results analysis of GSEA were included in the discussion section of this article. In conclusion, the current study identified novel key genes associated with the onset of PE and potential drugs for PE treatment.
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spelling pubmed-73771002020-07-27 Identifying key genes and drug screening for preeclampsia based on gene expression profiles Xu, Zhengfang Wu, Chengjiang Liu, Yanqiu Wang, Nian Gao, Shujun Qiu, Shali Wang, Zhutao Ding, Jing Zhang, Lubin Wang, Hui Wu, Weijiang Wan, Bing Yu, Jun Fang, Jie Yang, Peifang Shao, Qixiang Oncol Lett Articles Preeclampsia (PE) is characterized by gestational hypertension and proteinuria, and is a leading cause of maternal death and perinatal morbidity globally. Although the exact cause of PE remains unclear, several studies have suggested a role for abnormal expression of multiple genes. The aim of the present study was to identify key genes and related pathways, and to screen for drugs that regulate these genes for potential PE therapy. The GSE60438 dataset was acquired from the Gene Expression Omnibus database to analyze differentially expressed genes (DEGs). By constructing a protein-protein interaction network and performing reverse transcription-quantitative PCR verification, proteasome 26S subunit, non-ATPase 14, prostaglandin E synthase 3 and ubiquinol-cytochrome c reductase core protein 2 were identified as key genes in PE. In addition, PE was found to be associated with ‘circadian rhythm’, ‘fatty acid metabolism’, ‘DNA damage response detection of DNA damage’, ‘regulation of DNA repair’ and ‘endothelial cell development’. Through connectivity map analysis of DEGs, furosemide and droperidol were suggested to be therapeutic drugs that may target the hub genes for PE treatment. Results analysis of GSEA were included in the discussion section of this article. In conclusion, the current study identified novel key genes associated with the onset of PE and potential drugs for PE treatment. D.A. Spandidos 2020-08 2020-06-09 /pmc/articles/PMC7377100/ /pubmed/32724400 http://dx.doi.org/10.3892/ol.2020.11721 Text en Copyright: © Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Xu, Zhengfang
Wu, Chengjiang
Liu, Yanqiu
Wang, Nian
Gao, Shujun
Qiu, Shali
Wang, Zhutao
Ding, Jing
Zhang, Lubin
Wang, Hui
Wu, Weijiang
Wan, Bing
Yu, Jun
Fang, Jie
Yang, Peifang
Shao, Qixiang
Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title_full Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title_fullStr Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title_full_unstemmed Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title_short Identifying key genes and drug screening for preeclampsia based on gene expression profiles
title_sort identifying key genes and drug screening for preeclampsia based on gene expression profiles
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377100/
https://www.ncbi.nlm.nih.gov/pubmed/32724400
http://dx.doi.org/10.3892/ol.2020.11721
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