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在清醒大鼠中,平均动脉压、心输出量和总外周阻力之间的相互关系的 PKPD 模型。

PKPD modelling of the interrelationship between mean arterial BP, cardiac output and total peripheral resistance in conscious rats.

机构信息

Division of Pharmacology, Leiden Academic Centre for Drug Research, Leiden, The Netherlands.

出版信息

Br J Pharmacol. 2013 Aug;169(7):1510-24. doi: 10.1111/bph.12190.

Abstract

BACKGROUND AND PURPOSE

The homeostatic control of arterial BP is well understood with changes in BP resulting from changes in cardiac output (CO) and/or total peripheral resistance (TPR). A mechanism-based and quantitative analysis of drug effects on this interrelationship could provide a basis for the prediction of drug effects on BP. Hence, we aimed to develop a mechanism-based pharmacokinetic-pharmacodynamic (PKPD) model in rats that could be used to characterize the effects of cardiovascular drugs with different mechanisms of action (MoA) on the interrelationship between BP, CO and TPR.

EXPERIMENTAL APPROACH

The cardiovascular effects of six drugs with diverse MoA, (amlodipine, fasudil, enalapril, propranolol, hydrochlorothiazide and prazosin) were characterized in spontaneously hypertensive rats. The rats were chronically instrumented with ascending aortic flow probes and/or aortic catheters/radiotransmitters for continuous recording of CO and/or BP. Data were analysed in conjunction with independent information on the time course of drug concentration using a mechanism-based PKPD modelling approach.

KEY RESULTS

By simultaneous analysis of the effects of six different compounds, the dynamics of the interrelationship between BP, CO and TPR were quantified. System-specific parameters could be distinguished from drug-specific parameters indicating that the model developed is drug-independent.

CONCLUSIONS AND IMPLICATIONS

A system-specific model characterizing the interrelationship between BP, CO and TPR was obtained, which can be used to quantify and predict the cardiovascular effects of a drug and to elucidate the MoA for novel compounds. Ultimately, the proposed PKPD model could be used to predict the effects of a particular drug on BP in humans based on preclinical data.

摘要

背景与目的

动脉血压的内稳态控制机制已被充分理解,血压的变化源于心输出量(CO)和/或总外周阻力(TPR)的变化。对药物作用于这种相互关系的机制进行基于模型的定量分析,可以为预测药物对血压的影响提供依据。因此,我们旨在建立一种基于机制的大鼠药代动力学-药效学(PKPD)模型,该模型可用于描述具有不同作用机制(MoA)的心血管药物对血压、CO 和 TPR 之间相互关系的影响。

实验方法

用六种具有不同 MoA 的药物(氨氯地平、法舒地尔、依那普利、普萘洛尔、氢氯噻嗪和哌唑嗪)对自发性高血压大鼠进行心血管作用特征分析。将大鼠进行慢性升主动脉流量探头和/或主动脉导管/放射性传感器植入,以连续记录 CO 和/或 BP。通过使用基于机制的 PKPD 建模方法,结合药物浓度随时间变化的独立信息对数据进行分析。

主要结果

通过同时分析六种不同化合物的作用,定量了血压、CO 和 TPR 之间相互关系的动力学。可以区分系统特异性参数和药物特异性参数,表明所开发的模型是独立于药物的。

结论与意义

获得了一个能够描述血压、CO 和 TPR 之间相互关系的系统特异性模型,该模型可用于定量和预测药物的心血管作用,并阐明新型化合物的 MoA。最终,所提出的 PKPD 模型可以基于临床前数据预测特定药物对人类血压的影响。

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