Hypertension pharmacogenomics: in search of personalized treatment approaches.

Hypertension pharmacogenomics: in search of personalized treatment approaches.
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DOI:
10.1038/nrneph.2015.176
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发表时间:
2016-02
期刊:
Nature reviews. Nephrology
影响因子:
--
通讯作者:
Johnson JA
Johnson JA
中科院分区:
其他
文献类型:
--
作者:
Cooper-DeHoff RM;Johnson JA

文献摘要

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心血管和肾脏疾病与许多风险因素有关,其中高血压是最普遍的风险因素之一。在世界范围内,尽管有相当数量的不同药理学类别的抗高血压药物,但仅在约50%的高血压治疗患者中实现了血压控制。尽管血压控制不佳的原因有很多,但一个可能的原因是无法预测个体最有可能对哪种抗高血压药物产生反应。高血压药物基因组学和其他“组学”技术有可能识别预测特定药物反应或不良结果的遗传信号,并指导特定个体选择高血压治疗。这一领域的持续研究将提高我们对如何最大限度地部署各种抗高血压药物类别以优化个体水平的血压反应的理解。本综述总结了现有文献中最令人信服的遗传信号与降压药物反应和不良心血管结局。通过国际抗高血压药物基因组学研究联合会等联合会加强研究小组之间的合作,将促进这一领域的未来研究,目的是将重复的研究结果转化为临床应用。
Cardiovascular and renal diseases are associated with many risk factors, of which hypertension is one of the most prevalent. Worldwide, blood pressure control is only achieved in ~50% of those treated for hypertension, despite the availability of a considerable number of antihypertensive drugs from different pharmacological classes. Although many reasons exist for poor blood pressure control, a likely contributor is the inability to predict to which antihypertensive drug an individual is most likely to respond. Hypertension pharmacogenomics and other ‘omics’ technologies have the potential to identify genetic signals that are predictive of response or adverse outcome to particular drugs, and guide selection of hypertension treatment for a given individual. Continued research in this field will enhance our understanding of how to maximally deploy the various antihypertensive drug classes to optimize blood pressure response at the individual level. This Review summarizes the available literature on the most convincing genetic signals associated with antihypertensive drug responses and adverse cardiovascular outcomes. Future research in this area will be facilitated by enhancing collaboration between research groups through consortia such as the International Consortium for Antihypertensives Pharmacogenomics Studies, with the goal of translating replicated findings into clinical implementation.