Pharmacogenomics in cardiovascular diseases

Farmacogenômica e Doença Cardiovascular: Onde Estamos e Para Onde Vamos

A farmacogenômica (FGx) investiga a interação entre genes e medicamentos. Através da análise de regiões específicas do DNA, informações sobre o perfil de metabolização do paciente para um determinado fármaco podem ser descritas, assim como o perfil esperado de resposta ao tratamento. Objetivamente, esse tipo de teste pode ter impacto no tratamento de pacientes que não estão respondendo adequadamente a um determinado medicamento, seja pela ausência dos efeitos esperados ou em virtude do aparecimento de efeitos adversos. Neste cenário, o objetivo desta revisão é o de informar o cardiologista clínico sobre esta importante área do conhecimento e atualizá-lo sobre o tema, procurando preencher as lacunas no que diz respeito à relação custo-benefício da aplicação da FGx nas doenças cardiovasculares, além de fornecer informações para a implementação da terapia guiada pela FGx na prática clínica.

Cost-effectiveness analysis of genetic screening for the Taq1B polymorphism in the secondary prevention of coronary heart disease

Coronary heart disease is a major health priority area in Australia. Cholesterol-lowering agents are generally considered to be cost effective for the secondary prevention of coronary heart disease. There is growing evidence, however, that the effectiveness of statins varies from one individual to another. The Taq1B polymorphism is an example of a genetic polymorphism that is thought to influence the effectiveness of statins. The aim of the current analysis is to estimate the cost-effectiveness of genetically screening coronary heart disease and stroke patients for the Taq1B polymorphism, and prescribing statin treatment to those with the B1B2 or B2B2 forms of the gene. A health sector perspective was adopted with a maximum acceptable cost-effectiveness ratio set at AUS$50,000/disability-adjusted life year. There is an 89% probability that screening and prescribing statins to those with the B1B2 and B2B2 alleles is more cost effective than prescribing statins to all patients. Modeling the cost-effectiveness of pharmacogenetics in major areas of medicine provides useful information to help in resource allocation and decision making. Economic evaluations similar to this one will be required in the future as the results of further clinical trials to establish the effectiveness of statins based on genotype become available.

Jupiter to earth: a statin helps people with normal LDL-C and high hs-CRP, but what does it mean?

The JUPITER trial (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) (N Engl J Med 2008; 359:2195-2207) compared rosuvastatin (Crestor) 20 mg daily vs placebo in apparently healthy people who had levels of low-density lipoprotein cholesterol (LDL-C) lower than 130 mg/dL but elevated levels (>or= 2 mg/L) of high-sensitivity C-reactive protein (hs-CRP). Rosuvastatin treatment lowered LDL-C levels by 50% and hs-CRP levels by 37%, accompanied by a 44% relative risk reduction in the composite end point of unstable angina, revascularization, and confirmed death from cardiovascular causes. In absolute terms, 95 people had to be treated over 2 years to prevent one event. There was, however, a higher incidence of diabetes in the rosuvastatin group.

Stroke genetics--focus on PDE4D gene

Stroke is a complex disease comprising of a heterogenous group of disorders with multiple risk factors. Genetic predisposition to stroke does occur and has been documented in both animal models and human beings. However, a precise definition of genetic factors responsible for stroke is still lacking because research into the genetic basis of stroke presents some unique challenges. More commonly it seems to be a multifactorial polygenic disorder. Mutations in some candidate genes are likely to predispose or give protection against stroke. Several mutations in various genes have been found to be associated with stroke. However, we have a long way to go before we can accurately pinpoint the genes responsible for multifactorial stroke. Recently, the deCODE group has suggested an association between the phosphodiesterase 4D (PDE4D) gene and the risk of stroke in Icelanders. PDE4D is the first putative gene associated with common polygenic stroke. Specific variants of this gene have been shown to present risk for ischemic stroke in Icelanders. Replication studies in non-Icelanders have yielded variable results. There may be obvious racial differences in the prevalence of these mutations but still many questions remain unsolved regarding the role of PDE4D in stroke development.

Pharmacogenomics and drug response in cardiovascular disorders

There are a total of 17 families of drugs that are used for treating the heterogeneous group of cardiovascular diseases. We propose a comprehensive pharmacogenomic approach in the field of cardiovascular therapy that considers the five following sources of variability: the genetics of pharmacokinetics, the genetics of pharmacodynamics (drug targets), genetics linked to a defined pathology and its corresponding drug therapies, the genetics of physiologic regulation, and environmental–genetic interactions. Examples of the genetics of pharmacokinetics are presented for phase I (cytochromes P450) and phase II (conjugating enzymes) drug-metabolizing enzymes and for phase III drug transporters. The example used to explain the genetics of pharmacodynamics is glycoprotein IIIa and the response to antiplatelet effects of aspirin. Genetics linked to a defined pathology and its corresponding drug therapies is exemplified by ADRB1, ACE, CETP and APOE and drug response in metabolic syndrome. The examples of cytochrome P450s, APOE and ADRB2 in relation to ethnicity, age and gender are presented to describe genetics of physiologic regulation. Finally, environmental–genetic interactions are exemplified by CYP7A1 and the effects of diet on plasma lipid levels, and by APOE and the effects of smoking in cardiovascular disease. We illustrate this five-tiered approach using examples of cardiovascular drugs in relation to genetic polymorphism.