Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
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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Brazilian Journal of Pharmaceutical Sciences |
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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 |
_version_ |
1800222915142090752 |