首页> 外文期刊>Journal of Chromatography, Biomedical Applications >Retention pharmacokinetic and pharmacodynamic parameter relationships of antihistamine drugs using biopartitioning micellar chromatography
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Retention pharmacokinetic and pharmacodynamic parameter relationships of antihistamine drugs using biopartitioning micellar chromatography

机译:生物分配胶束色谱法测定抗组胺药的保留药代动力学和药效学参数关系

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摘要

Antihistamines are drugs which act by competitive inhibition of the H_1 or H_2 histamine receptors. Little has been known about their clinical pharmacokinetics and biological responses until the last few years. In this paper, we propose quantitative retention-activity relationship, QRAR, models based on the retention data of antihistamines in a biopartitioning micellar chromatography (BMC) system using a Brij35 mobile phase for describing pharmacokinetic parameters such as half-life and volume of distribution, or the pharmacodynamic parameters, therapeutic plasma levels, lethal doses and drug-receptor dissociation constant. The predictive ability of these models is statistically validated. These results are compared to traditional quantitative structure-activity relationship, QSAR, models using lipophilicity data. The adequacy of QRAR models can be explained takinginto account the fact that the retention of compounds in BMC depends on their hydrophobic, electronic and steric characteristics which are of great importance in pharmacokinetic and pharmacodynamic behavior.
机译:抗组胺药是通过竞争性抑制H_1或H_2组胺受体发挥作用的药物。直到最近几年,人们对其临床药代动力学和生物学反应还知之甚少。在本文中,我们基于抗组胺剂在生物分配胶束色谱(BMC)系统中使用Brij35流动相的抗组胺药的保留数据,提出了定量保留-活性关系模型,用于描述药代动力学参数,例如半衰期和分布体积,或药效参数,治疗血浆水平,致死剂量和药物受体解离常数。这些模型的预测能力在统计学上得到验证。将这些结果与使用亲脂性数据的传统定量构效关系QSAR模型进行比较。可以考虑QRAR模型的充分性,因为化合物在BMC中的保留取决于它们的疏水,电子和空间特性,这些特性在药代动力学和药效学行为中非常重要。

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