Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray

Detalhes bibliográficos
Autor(a) principal: Dong, Wenzhu
Data de Publicação: 2020
Outros Autores: Chen, Hangping, Wang, Lu, Cao, Xiaoqian, Bu, Xiawei, Peng, Yan, Dong, Aiqing, Ying, Mengjiang, Chen, Xu, Zhang, Xin, Yao, Li
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Pharmaceutical Sciences
Texto Completo: https://www.revistas.usp.br/bjps/article/view/181828
Resumo: Given their relationship with metabolic syndrome and systematic inflammatory diseases, the pathogenesis of hypertension, hyperglycemia, and hyperlipidemia is closely related. To explore the common genes among these three conditions, spontaneous hypertensive rats (SHR), spontaneous diabetic Goto-Kakizaki rats (GK) and hyperlipidemia rats (HMR) were reared for experiments. Gene array was used to identify the genes of SHR, GK and HMR compared with normal Wistar rats using TBtools software. First, real-time PCR was applied to verify these genes, and Cytoscape software was used to construct networks based on the National Center for Biotechnology Information (NCBI) database. Second, Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis was performed to classify the genes. Visualization and Integrated Discovery (DAVID) database and Gene Ontology database were used to explore the biological function. Finally, Onto-tools Pathway Express was used to analyze the pathways of shared genes. Importantly, upregulated common genes, such as Bad, Orm1, Arntl and Zbtb7a, were used to construct a network of 150 genes, while downregulated genes, such as Mif and Gpx1, formed a network of 29 genes. Interestingly, the networks were involved in various pathways, such as insulin signal pathway, endometrial cancer pathway, circadian rhythm pathway, and pancreatic cancer pathway. We discovered common genes of SHR, GK and HMR compared with normal Wistar rats, and the association of these genes together with biological function were preliminarily revealed.
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spelling Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarrayHypertensionDiabetesHyperlipidemiaGenesMicroarrayNeoplasmGiven their relationship with metabolic syndrome and systematic inflammatory diseases, the pathogenesis of hypertension, hyperglycemia, and hyperlipidemia is closely related. To explore the common genes among these three conditions, spontaneous hypertensive rats (SHR), spontaneous diabetic Goto-Kakizaki rats (GK) and hyperlipidemia rats (HMR) were reared for experiments. Gene array was used to identify the genes of SHR, GK and HMR compared with normal Wistar rats using TBtools software. First, real-time PCR was applied to verify these genes, and Cytoscape software was used to construct networks based on the National Center for Biotechnology Information (NCBI) database. Second, Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis was performed to classify the genes. Visualization and Integrated Discovery (DAVID) database and Gene Ontology database were used to explore the biological function. Finally, Onto-tools Pathway Express was used to analyze the pathways of shared genes. Importantly, upregulated common genes, such as Bad, Orm1, Arntl and Zbtb7a, were used to construct a network of 150 genes, while downregulated genes, such as Mif and Gpx1, formed a network of 29 genes. Interestingly, the networks were involved in various pathways, such as insulin signal pathway, endometrial cancer pathway, circadian rhythm pathway, and pancreatic cancer pathway. We discovered common genes of SHR, GK and HMR compared with normal Wistar rats, and the association of these genes together with biological function were preliminarily revealed.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2020-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/18182810.1590/s2175-97902020000118333Brazilian Journal of Pharmaceutical Sciences; Vol. 56 (2020); e18333Brazilian Journal of Pharmaceutical Sciences; v. 56 (2020); e18333Brazilian Journal of Pharmaceutical Sciences; Vol. 56 (2020); e183332175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/181828/168731Copyright (c) 2020 Brazilian Journal of Pharmaceutical Scienceshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDong, Wenzhu Chen, Hangping Wang, Lu Cao, Xiaoqian Bu, Xiawei Peng, Yan Dong, AiqingYing, Mengjiang Chen, Xu Zhang, Xin Yao, Li 2021-06-12T19:46:54Zoai:revistas.usp.br:article/181828Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2021-06-12T19:46:54Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
title Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
spellingShingle Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
Dong, Wenzhu
Hypertension
Diabetes
Hyperlipidemia
Genes
Microarray
Neoplasm
title_short Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
title_full Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
title_fullStr Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
title_full_unstemmed Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
title_sort Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
author Dong, Wenzhu
author_facet Dong, Wenzhu
Chen, Hangping
Wang, Lu
Cao, Xiaoqian
Bu, Xiawei
Peng, Yan
Dong, Aiqing
Ying, Mengjiang
Chen, Xu
Zhang, Xin
Yao, Li
author_role author
author2 Chen, Hangping
Wang, Lu
Cao, Xiaoqian
Bu, Xiawei
Peng, Yan
Dong, Aiqing
Ying, Mengjiang
Chen, Xu
Zhang, Xin
Yao, Li
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Dong, Wenzhu
Chen, Hangping
Wang, Lu
Cao, Xiaoqian
Bu, Xiawei
Peng, Yan
Dong, Aiqing
Ying, Mengjiang
Chen, Xu
Zhang, Xin
Yao, Li
dc.subject.por.fl_str_mv Hypertension
Diabetes
Hyperlipidemia
Genes
Microarray
Neoplasm
topic Hypertension
Diabetes
Hyperlipidemia
Genes
Microarray
Neoplasm
description Given their relationship with metabolic syndrome and systematic inflammatory diseases, the pathogenesis of hypertension, hyperglycemia, and hyperlipidemia is closely related. To explore the common genes among these three conditions, spontaneous hypertensive rats (SHR), spontaneous diabetic Goto-Kakizaki rats (GK) and hyperlipidemia rats (HMR) were reared for experiments. Gene array was used to identify the genes of SHR, GK and HMR compared with normal Wistar rats using TBtools software. First, real-time PCR was applied to verify these genes, and Cytoscape software was used to construct networks based on the National Center for Biotechnology Information (NCBI) database. Second, Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis was performed to classify the genes. Visualization and Integrated Discovery (DAVID) database and Gene Ontology database were used to explore the biological function. Finally, Onto-tools Pathway Express was used to analyze the pathways of shared genes. Importantly, upregulated common genes, such as Bad, Orm1, Arntl and Zbtb7a, were used to construct a network of 150 genes, while downregulated genes, such as Mif and Gpx1, formed a network of 29 genes. Interestingly, the networks were involved in various pathways, such as insulin signal pathway, endometrial cancer pathway, circadian rhythm pathway, and pancreatic cancer pathway. We discovered common genes of SHR, GK and HMR compared with normal Wistar rats, and the association of these genes together with biological function were preliminarily revealed.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/bjps/article/view/181828
10.1590/s2175-97902020000118333
url https://www.revistas.usp.br/bjps/article/view/181828
identifier_str_mv 10.1590/s2175-97902020000118333
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/bjps/article/view/181828/168731
dc.rights.driver.fl_str_mv Copyright (c) 2020 Brazilian Journal of Pharmaceutical Sciences
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Brazilian Journal of Pharmaceutical Sciences
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
dc.source.none.fl_str_mv Brazilian Journal of Pharmaceutical Sciences; Vol. 56 (2020); e18333
Brazilian Journal of Pharmaceutical Sciences; v. 56 (2020); e18333
Brazilian Journal of Pharmaceutical Sciences; Vol. 56 (2020); e18333
2175-9790
1984-8250
reponame:Brazilian Journal of Pharmaceutical Sciences
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Brazilian Journal of Pharmaceutical Sciences
collection Brazilian Journal of Pharmaceutical Sciences
repository.name.fl_str_mv Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)
repository.mail.fl_str_mv bjps@usp.br||elizabeth.igne@gmail.com
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