A farmacogenética e a medicina personalizada

Saude Tecnologia Pub Date : 2015-11-01 DOI:10.25758/SET.1214
M. Brito
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引用次数: 2

Abstract

Pharmacogenetics aims to identify genetic differences between individuals that may influence the response to drug therapy, improving their effectiveness and safety. Associated with the pharmacogenetics emerges ‘personalized medicine’. In opposition to the existence of a drug that can treat all patients, the individualized treatment seems the most promising as it reduces the risk of side effects for toxicity (safety), reduces losses due to excess or deficit (dose), avoiding the testing methodology in the choice of the correct drug (effectiveness). Pharmacogenetics is relevant to the individual response to the drug in two ways: the pharmacokinetics and pharmacodynamics. The genetic variability can affect the way a drug can be absorbed, metabolized, excreted or activated, and can drive to a difference in the patient response. Among the endless number of possible examples, in this review we present examples related to cytochrome P450 genes, NAT2 gene and the Cholinesterase gene. Genetic differences between individuals can still affect the response to the drug by its pharmacodynamics, drug target-specific response to a particular drug. Among the multitude of existing drug targets, it will be presented examples of the G6PD gene, and the VKORC1 gene. Despite some evidence given for the benefit of the patient, we are still far from Pharmacogenetics to be part of routine clinical practice, perhaps because the cost-benefit have not yet been correctly assessed.
药物遗传学和个性化医疗
药物遗传学旨在确定个体之间可能影响药物治疗反应的遗传差异,从而提高药物治疗的有效性和安全性。与药物遗传学相关的是“个性化医疗”。相对于存在一种可以治疗所有患者的药物,个体化治疗似乎是最有希望的,因为它减少了毒性副作用的风险(安全性),减少了由于过量或不足(剂量)造成的损失,避免了选择正确药物的测试方法(有效性)。药物遗传学从两方面与个体对药物的反应有关:药代动力学和药效学。遗传变异可以影响药物的吸收、代谢、排泄或激活方式,并可能导致患者反应的差异。在无数可能的例子中,本文综述了与细胞色素P450基因、NAT2基因和胆碱酯酶基因相关的例子。个体之间的遗传差异仍然可以影响药物的药效学反应,药物对特定药物的靶特异性反应。在众多现有的药物靶点中,将介绍G6PD基因和VKORC1基因的例子。尽管有一些证据表明药物遗传学对患者有益,但我们离药物遗传学成为常规临床实践的一部分还有很长的路要走,可能是因为成本效益尚未得到正确的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
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发文量
16
审稿时长
26 weeks
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