System biology approach for Cardiovascular Medicine

Detalhes bibliográficos
Autor(a) principal: Costa, Cibelle Neiva Cavalcanti Mariano da
Data de Publicação: 2014
Tipo de documento: Relatório
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/5648
Resumo: BioSys – PhD - Biological Systems: Functional and Integrative Genomics (PhD Programme in Biology/Biochemistry)
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spelling System biology approach for Cardiovascular MedicineCardiovascular Risk FactorGenetic Risk FactorDyslipidaemiaBiomarkersEpidemiologyLipid ProfileDoenças Cardio e Cérebro-vascularesPortugalBioSys – PhD - Biological Systems: Functional and Integrative Genomics (PhD Programme in Biology/Biochemistry)Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. The common forms of CVD have a complex aetiology in which interactions between multiple genetic and environmental factors play an important role. Of many independent cardiovascular risk factors that have been identified, namely, dyslipidaemia, arterial hypertension, diabetes, sedentarism, overweight/obesity, inadequate diet and smoking, all have a common link: all could be modifiable. In contrast, genetic risk factors are considered non-modifiable, but the associated risk can be prevented if early identified, making genetic studies a priority in cardiovascular genetics research. This research project proposes the study of interactions between biological, including genetics, and environmental factors that give rise to the cardiovascular risk profile as well as to characterise the genetic cardiovascular risk profile of the Portuguese population. It is also proposed to study the differential expression pattern between a control and disease (premature myocardial infarction) population in order to identify novel biomarkers for the early identification of at risk subjects. Overall 1700 individuals (men and women aged between 18 and 79), from e_COR project, involving Lisboa, Porto, Centro, Algarve and Alentejo regions will be included. Lipid profile will be analysed and percentiles defined and adjusted according to the lipid-lowering drugs. The different genes expression patterns will be analysed by RNA-Seq in 50 patients with premature myocardial infarction (pMI) and in 50 controls, without cardiovascular risk factors or CHD, from e_COR study. A combination of genomics and transcriptomics approaches will be performed to establish genotype/phenotype co-relation between known genetic markers and CVD disorders, as well as to investigate novel potential biomarkers. Statistical analysis will be performed with SPSS and R. The integration analysis of the effects of non-genetic risk factors and epigenetic variation, with knowledge of DNA sequence determinants and with the enormous quantities of information produced by the high-throughput technologies used to sequence the human genome, has the potential to improve the understanding of the aetiology, prediction and stratification of CVD, by connecting biological information in disease-specific network. This project will contribute for a better knowledge of the interactions between biological and/or environmental factors that give rise to cardiovascular risk, as well as determining the cardiovascular risk profile of the Portuguese population. With all the data collected it will also be possible to establish reference values for biomarkers of lipid metabolism. The results should have a high impact on the definition of criteria for identifying individuals at high risk for developing CVD.Doctoral research fellow of the Fundação para a Ciência e Tecnologia, do Ministério da Ciência, Tecnologia e Ensino Superior, SFRH/BD/52494/2014Bourbon, MafaldaAntunes, MaríliaRepositório Científico do Instituto Nacional de SaúdeCosta, Cibelle Neiva Cavalcanti Mariano da2018-11-16T12:45:31Z2014-122014-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10400.18/5648porinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:39:31Zoai:repositorio.insa.pt:10400.18/5648Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:37:52.857948Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv System biology approach for Cardiovascular Medicine
title System biology approach for Cardiovascular Medicine
spellingShingle System biology approach for Cardiovascular Medicine
Costa, Cibelle Neiva Cavalcanti Mariano da
Cardiovascular Risk Factor
Genetic Risk Factor
Dyslipidaemia
Biomarkers
Epidemiology
Lipid Profile
Doenças Cardio e Cérebro-vasculares
Portugal
title_short System biology approach for Cardiovascular Medicine
title_full System biology approach for Cardiovascular Medicine
title_fullStr System biology approach for Cardiovascular Medicine
title_full_unstemmed System biology approach for Cardiovascular Medicine
title_sort System biology approach for Cardiovascular Medicine
author Costa, Cibelle Neiva Cavalcanti Mariano da
author_facet Costa, Cibelle Neiva Cavalcanti Mariano da
author_role author
dc.contributor.none.fl_str_mv Bourbon, Mafalda
Antunes, Marília
Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Costa, Cibelle Neiva Cavalcanti Mariano da
dc.subject.por.fl_str_mv Cardiovascular Risk Factor
Genetic Risk Factor
Dyslipidaemia
Biomarkers
Epidemiology
Lipid Profile
Doenças Cardio e Cérebro-vasculares
Portugal
topic Cardiovascular Risk Factor
Genetic Risk Factor
Dyslipidaemia
Biomarkers
Epidemiology
Lipid Profile
Doenças Cardio e Cérebro-vasculares
Portugal
description BioSys – PhD - Biological Systems: Functional and Integrative Genomics (PhD Programme in Biology/Biochemistry)
publishDate 2014
dc.date.none.fl_str_mv 2014-12
2014-12-01T00:00:00Z
2018-11-16T12:45:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/5648
url http://hdl.handle.net/10400.18/5648
dc.language.iso.fl_str_mv por
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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