抗高血压药物反应的药物遗传学。

Gary L Schwartz, Stephen T Turner
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引用次数: 59

摘要

对任何一种降压药物的血压反应都具有显著的个体差异,已知的反应预测因子在确定个体患者的最佳药物方面价值有限。遗传变异的分析有可能提高我们对抗高血压药物反应的决定因素的理解,以便个体化药物选择。遗传变异可以影响药物反应变化的药代动力学和药效学机制。经典的药物遗传学研究已经确定了单个基因的变异,这些变异对抗高血压药物代谢有很大影响,并以孟德尔方式遗传。其中包括CYP2D6基因多态性,编码参与I期药物代谢的细胞色素p450家族成员,以及编码参与II期药物代谢的酶的基因多态性,包括n -乙酰基转移酶(NAT2),儿茶酚- o -甲基转移酶(COMT)和苯酚磺基转移酶(P-PST, SULT1A1)。尽管这些多态性对常用降压药(如美托洛尔(CYP2D6))和较少使用的药物(如肼(NAT2)、甲基多巴(COMT)和米诺地尔(SULT1A1))的药代动力学特征有主要影响,但在常规剂量下,它们并未显示出对这些药物降压效果的影响。现在的兴趣集中在确定影响降压反应药效学决定因素的遗传多态性上。利用候选基因方法,这些多态性已经在编码α -内缩素(ADD1)、g蛋白亚基(GNB3和GNAS1)、β(1)-肾上腺素能受体(ADRB1)、内皮型一氧化氮合酶(NOS3)和肾素-血管紧张素-醛固酮系统成分(血管紧张素原[AGT]、血管紧张素转换酶[ACE]、血管紧张素I型受体[AGTR1]和醛固酮合成酶[CYP11B2])的基因中被鉴定出来。这些多态性已被证明影响BP对利尿剂(ADD1、GNB3、NOS3和ACE)、β受体阻滞剂(GNAS1和ADRB1)、ACE抑制剂(AGT、ACE和AGTR1)、血管紧张素受体阻滞剂(ACE和CYP11B2)和clini定(GNB3)的反应。从这些研究中逐渐形成的共识是,单基因对抗高血压药物反应的影响很小,甚至目前已知的所有多态性的综合影响也不足以解释临床有用的反应差异。新的全基因组扫描技术可能导致以前未被怀疑影响药物反应的基因的鉴定。药物遗传学方法在临床上有用的其他要求是单倍型和多位点基因型对药物反应的影响的表征,以及基因与环境相互作用的考虑。这样的研究将需要庞大的样本量和新颖的统计方法,但理论和技术框架已经到位,使这成为可能。
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Pharmacogenetics of antihypertensive drug responses.

The blood pressure (BP) response to any single antihypertensive drug is characterized by marked interindividual variation, and the known predictors of response are of limited value in identifying the optimum drug for an individual patient. Analysis of genetic variation has the potential to improve our understanding of determinants of antihypertensive drug response in order to individualize drug selection. Genetic variation can influence both pharmacokinetic and pharmacodynamic mechanisms underlying variation in drug response. Classic pharmacogenetic investigations have identified variations in single genes that have a large effect on antihypertensive drug metabolism and are inherited in a Mendelian fashion. These include a polymorphism in the CYP2D6 gene, encoding a cytochrome p450 family member involved in phase I drug metabolism, and polymorphisms in genes encoding enzymes involved in phase II drug metabolism, including N-acetyltransferase (NAT2), catechol-O-methyltransferase (COMT), and phenol sulfotransferase (P-PST, SULT1A1). Although these polymorphisms have major effects on the pharmacokinetic profiles of both commonly used antihypertensive drugs such as metoprolol (CYP2D6), and lesser used drugs such as hydralazine (NAT2), methyldopa (COMT), and minoxidil (SULT1A1), they have not been shown to influence variation in the antihypertensive effect of these drugs at conventional doses. Interest is now focused on identifying genetic polymorphisms that influence the pharmacodynamic determinants of antihypertensive response. Using a candidate gene approach, such polymorphisms have been identified in genes encoding alpha-adducin (ADD1), subunits of G-proteins (GNB3 and GNAS1), the beta(1)-adrenergic receptor (ADRB1), endothelial nitric oxide synthase (NOS3), and components of the renin-angiotensin-aldosterone system (angiotensinogen [AGT], angiotensin converting enzyme [ACE], the angiotensin type I receptor [AGTR1], and aldosterone synthase [CYP11B2]). These polymorphisms have been shown to influence the BP response to diuretics (ADD1, GNB3, NOS3, and ACE), beta-blockers (GNAS1 and ADRB1), ACE inhibitors (AGT, ACE, and AGTR1), angiotensin receptor blockers (ACE and CYP11B2), and clonidine (GNB3).An emerging consensus from these studies is that single gene effects on antihypertensive drug responses are small, and even the combined effects of all presently known polymorphisms do not account for enough variation in response to be clinically useful. New genome-wide scanning techniques may lead to the identification of genes previously unsuspected of influencing drug response. Additional requirements for pharmacogenetic approaches to become clinically useful are the characterization of the effects of haplotypes and multi-locus genotypes on drug response, and consideration of gene-by-environment interactions. Such studies will require huge sample sizes and novel statistical methods, but the theoretical and technical framework is in place to make this possible.

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