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Review Article

高血压治疗的计算和药物基因组学见解：合理的药物设计和优化策略

卷 21, 期 1, 2020

页: [18 - 33] 页: 16

弟呕挨: 10.2174/1389450120666190808101356

价格: $65

摘要

背景：高血压是由遗传和非遗传因素引起的普遍的心血管并发症。血压（BP）的管理很困难，因为大多数患者在治疗开始后不久就对单一疗法产生抵抗力。尽管有许多降压药可用，但一些患者对多种药物无反应。确定个性化的降压治疗方法是改善血压管理的关键。 目的：本综述旨在阐明合理药物设计和其他方法的方面，以开发更好的高血压治疗方法。 结果：在高血压相关的信号传导机制中，肾素-血管紧张素-醛固酮系统是高血压治疗的主要遗传靶标。识别作用于多个靶标的单一药物是高血压治疗的新兴策略，可以通过发现突变少且保守性高的区域的新药物靶标来实现。将药物基因组学研究扩展至包括接受多种降压药治疗的高血压患者，可能有助于鉴定高血压的遗传标志。但是，有关药物基因组学在高血压中作用的可用证据有限，并且主要集中在候选基因上。高血压药物基因组学的研究旨在确定对降压药反应差异的遗传原因。遗传关联研究确定了影响药物反应的单核苷酸多态性。为了了解遗传特性如何改变药物反应，可以利用诱变的计算筛选来观察蛋白质水平上药物反应的变化，这可以帮助识别新的抑制剂和治疗高血压的药物靶标。 结论：合理的药物设计有助于发现和设计有效的抑制剂。然而，在将新型抑制剂临床用于抗高血压治疗之前，需要进一步的研究和临床验证。

关键词: 计算诱变，药物发现，高血压，血压，药物基因组学，SNPs，RAAS。

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