Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset

Detalhes bibliográficos
Autor(a) principal: Yang, Guodong
Data de Publicação: 2017
Outros Autores: Chen, Shuping, Ma, Aiqun, Lu, Jun, Wang, Tingzhong
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/141015
Resumo: OBJECTIVES: Clinically, patients with chronic heart failure arising from different etiologies receive the same treatment. However, the prognoses of these patients differ. The purpose of this study was to elucidate whether the pathogenesis of heart failure arising from different etiologies differs. METHODS: Heart failure-related dataset GSE1145 was obtained from the Gene Expression Omnibus database. Differentially expressed genes were identified using R. A protein-protein interaction network of the differentially expressed genes was constructed using Search Tool for the Retrieval of Interacting Genes. The modules in each network were analyzed by Molecular Complex Detection of Cytoscape. The Database for Annotation, Visualization and Integrated Discovery was used to obtain the functions of the modules. RESULTS: Samples contained in GSE1145 were myocardial tissues from patients with dilated cardiomyopathy, familial cardiomyopathy, hypertrophic cardiomyopathy, ischemic cardiomyopathy, and post-partum cardiomyopathy. The differentially expressed genes, modules, and functions of the modules associated with different etiologies varied. Abnormal formation of extracellular matrix was overlapping among five etiologies. The change in cytoskeleton organization was specifically detected in dilated cardiomyopathy. The activation of the Wnt receptor signaling pathway was limited to hypertrophic cardiomyopathy. The change in nucleosome and chromatin assembly was associated with only familial cardiomyopathy. Germ cell migration and disrupted cellular calcium ion homeostasis were solely detected in ischemic cardiomyopathy. The change in the metabolic process of glucose and triglyceride was detected in only post-partum cardiomyopathy. CONCLUSION: These results indicate that the pathogenesis of heart failure arising from different etiologies varies, which may provide molecular evidence supporting etiology-based treatment for heart failure patients.
id USP-19_6c11d2ac245da3376f0558c29a8bf284
oai_identifier_str oai:revistas.usp.br:article/141015
network_acronym_str USP-19
network_name_str Clinics
repository_id_str
spelling Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray datasetHeart FailureDifferent EtiologiesMicroarrayExpression ProfilePathogenesisData MiningOBJECTIVES: Clinically, patients with chronic heart failure arising from different etiologies receive the same treatment. However, the prognoses of these patients differ. The purpose of this study was to elucidate whether the pathogenesis of heart failure arising from different etiologies differs. METHODS: Heart failure-related dataset GSE1145 was obtained from the Gene Expression Omnibus database. Differentially expressed genes were identified using R. A protein-protein interaction network of the differentially expressed genes was constructed using Search Tool for the Retrieval of Interacting Genes. The modules in each network were analyzed by Molecular Complex Detection of Cytoscape. The Database for Annotation, Visualization and Integrated Discovery was used to obtain the functions of the modules. RESULTS: Samples contained in GSE1145 were myocardial tissues from patients with dilated cardiomyopathy, familial cardiomyopathy, hypertrophic cardiomyopathy, ischemic cardiomyopathy, and post-partum cardiomyopathy. The differentially expressed genes, modules, and functions of the modules associated with different etiologies varied. Abnormal formation of extracellular matrix was overlapping among five etiologies. The change in cytoskeleton organization was specifically detected in dilated cardiomyopathy. The activation of the Wnt receptor signaling pathway was limited to hypertrophic cardiomyopathy. The change in nucleosome and chromatin assembly was associated with only familial cardiomyopathy. Germ cell migration and disrupted cellular calcium ion homeostasis were solely detected in ischemic cardiomyopathy. The change in the metabolic process of glucose and triglyceride was detected in only post-partum cardiomyopathy. CONCLUSION: These results indicate that the pathogenesis of heart failure arising from different etiologies varies, which may provide molecular evidence supporting etiology-based treatment for heart failure patients.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/14101510.6061/clinics/2017(10)03Clinics; Vol. 72 No. 10 (2017); 600-608Clinics; v. 72 n. 10 (2017); 600-608Clinics; Vol. 72 Núm. 10 (2017); 600-6081980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/141015/136081Copyright (c) 2017 Clinicsinfo:eu-repo/semantics/openAccessYang, GuodongChen, ShupingMa, AiqunLu, JunWang, Tingzhong2017-11-27T13:14:34Zoai:revistas.usp.br:article/141015Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2017-11-27T13:14:34Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
title Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
spellingShingle Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
Yang, Guodong
Heart Failure
Different Etiologies
Microarray
Expression Profile
Pathogenesis
Data Mining
title_short Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
title_full Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
title_fullStr Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
title_full_unstemmed Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
title_sort Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset
author Yang, Guodong
author_facet Yang, Guodong
Chen, Shuping
Ma, Aiqun
Lu, Jun
Wang, Tingzhong
author_role author
author2 Chen, Shuping
Ma, Aiqun
Lu, Jun
Wang, Tingzhong
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Yang, Guodong
Chen, Shuping
Ma, Aiqun
Lu, Jun
Wang, Tingzhong
dc.subject.por.fl_str_mv Heart Failure
Different Etiologies
Microarray
Expression Profile
Pathogenesis
Data Mining
topic Heart Failure
Different Etiologies
Microarray
Expression Profile
Pathogenesis
Data Mining
description OBJECTIVES: Clinically, patients with chronic heart failure arising from different etiologies receive the same treatment. However, the prognoses of these patients differ. The purpose of this study was to elucidate whether the pathogenesis of heart failure arising from different etiologies differs. METHODS: Heart failure-related dataset GSE1145 was obtained from the Gene Expression Omnibus database. Differentially expressed genes were identified using R. A protein-protein interaction network of the differentially expressed genes was constructed using Search Tool for the Retrieval of Interacting Genes. The modules in each network were analyzed by Molecular Complex Detection of Cytoscape. The Database for Annotation, Visualization and Integrated Discovery was used to obtain the functions of the modules. RESULTS: Samples contained in GSE1145 were myocardial tissues from patients with dilated cardiomyopathy, familial cardiomyopathy, hypertrophic cardiomyopathy, ischemic cardiomyopathy, and post-partum cardiomyopathy. The differentially expressed genes, modules, and functions of the modules associated with different etiologies varied. Abnormal formation of extracellular matrix was overlapping among five etiologies. The change in cytoskeleton organization was specifically detected in dilated cardiomyopathy. The activation of the Wnt receptor signaling pathway was limited to hypertrophic cardiomyopathy. The change in nucleosome and chromatin assembly was associated with only familial cardiomyopathy. Germ cell migration and disrupted cellular calcium ion homeostasis were solely detected in ischemic cardiomyopathy. The change in the metabolic process of glucose and triglyceride was detected in only post-partum cardiomyopathy. CONCLUSION: These results indicate that the pathogenesis of heart failure arising from different etiologies varies, which may provide molecular evidence supporting etiology-based treatment for heart failure patients.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
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/clinics/article/view/141015
10.6061/clinics/2017(10)03
url https://www.revistas.usp.br/clinics/article/view/141015
identifier_str_mv 10.6061/clinics/2017(10)03
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/141015/136081
dc.rights.driver.fl_str_mv Copyright (c) 2017 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 72 No. 10 (2017); 600-608
Clinics; v. 72 n. 10 (2017); 600-608
Clinics; Vol. 72 Núm. 10 (2017); 600-608
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
_version_ 1800222763257954304