Literature DB >> 18516385

Genetic polymorphism, medical therapy and sequential cardiac function in patients with heart failure.

Marco Antonio Romeo Cuoco1, Alexandre Costa Pereira, Glória de Fátima Alves da Mota, José Eduardo Krieger, Alfredo José Mansur.   

Abstract

BACKGROUND: Functional variants of angiotensin-converting enzyme (ACE) gene may be associated with response to therapy in patients with heart failure (HF).
OBJECTIVE: To test the hypothesis of differences in sequential echocardiographic evaluations of left ventricular ejection fraction in patients with HF on medical therapy, including ACE inhibitors in relation to insertion (I) / deletion (D) polymorphism of the ACE gene.
METHODS: We studied 168 patients (mean age 43.3+/-10.1 years), 128 (76.2%) men, with HF and sequential echocardiograms. The I/D polymorphism was determined by polymerase chain reaction. Left ventricular ejection fraction (LVEF) was analyzed comparatively to genotypes. More than 90% of patients were on ACE inhibitors.
RESULTS: There was a significantly greater increase in mean LVEF in patients with the D allele compared to patients with the II genotype (p=0.01) after a mean follow-up of 38.9 months. The D allele was associated with an increase of 8.8% in mean LVEF over the same period. Furthermore, there was a tendency toward a D allele "copy number" effect on the increase of mean LVEF over time: a 3.5% difference in LVEF variation between patients with the II and the ID genotypes (p = 0.03) and a 5% difference between patients with the II and DD genotypes (p=0.02).
CONCLUSION: ACE gene deletion polymorphism may be operative in response to medical treatment that included ACE inhibitors in patients with HF. Further controlled studies may contribute to better understanding of genetic influences on response to therapy.

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Year:  2008        PMID: 18516385

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


  8 in total

1.  Association of angiotensin-converting enzyme I/D polymorphism with heart failure: a meta-analysis.

Authors:  Yuanyuan Bai; Liang Wang; Shengshou Hu; Yingjie Wei
Journal:  Mol Cell Biochem       Date:  2011-10-21       Impact factor: 3.396

Review 2.  Practical Pharmacogenomic Approaches to Heart Failure Therapeutics.

Authors:  Chayakrit Krittanawong; Amalia Namath; David E Lanfear; W H Wilson Tang
Journal:  Curr Treat Options Cardiovasc Med       Date:  2016-10

Review 3.  Pharmacogenetics in chronic heart failure: new developments and current challenges.

Authors:  Jasmine A Talameh; David E Lanfear
Journal:  Curr Heart Fail Rep       Date:  2012-03

Review 4.  Pharmacogenomics in heart failure: where are we now and how can we reach clinical application?

Authors:  Akinyemi Oni-Orisan; David E Lanfear
Journal:  Cardiol Rev       Date:  2014 Sep-Oct       Impact factor: 2.644

Review 5.  Advances in the Genetics and Genomics of Heart Failure.

Authors:  Nosheen Reza; Anjali Tiku Owens
Journal:  Curr Cardiol Rep       Date:  2020-09-10       Impact factor: 2.931

6.  Influence of Angiotensin-Converting-Enzyme Gene Polymorphism on Echocardiographic Data of Patients with Ischemic Heart Failure.

Authors:  Gustavo Salgado Duque; Dayse Aparecida da Silva; Felipe Neves de Albuquerque; Roberta Siuffo Schneider; Alinne Gimenez; Roberto Pozzan; Ricardo Mourilhe Rocha; Denilson Campos de Albuquerque
Journal:  Arq Bras Cardiol       Date:  2016-10-27       Impact factor: 2.000

7.  Angiotensin-converting enzyme genetic polymorphism: its impact on cardiac remodeling.

Authors:  Felipe Neves de Albuquerque; Andréa Araujo Brandão; Dayse Aparecida da Silva; Ricardo Mourilhe-Rocha; Gustavo Salgado Duque; Alyne Freitas Pereira Gondar; Luiza Maceira de Almeida Neves; Marcelo Imbroinise Bittencourt; Roberto Pozzan; Denilson Campos de Albuquerque
Journal:  Arq Bras Cardiol       Date:  2013-11-26       Impact factor: 2.000

Review 8.  Genetic polymorphisms associated with heart failure: A literature review.

Authors:  Mengqi Guo; Guanlun Guo; Xiaoping Ji
Journal:  J Int Med Res       Date:  2016-01-14       Impact factor: 1.671

  8 in total

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