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基于受体理论的CCR5非竞争性拮抗剂马拉维若的半机制性药代动力学模型。

A receptor theory-based semimechanistic PD model for the CCR5 noncompetitive antagonist maraviroc.

作者信息

Jacqmin Philippe, McFadyen Lynn, Wade Janet R

机构信息

Exprimo NV, Mechelen, Belgium.

出版信息

Br J Clin Pharmacol. 2008 Apr;65 Suppl 1(Suppl 1):95-106. doi: 10.1111/j.1365-2125.2008.03141.x.

Abstract

AIM

To develop a novel combined viral dynamics/operational model of (ant-)agonism that describes the pharmacodynamic effects of maraviroc, a noncompetitive CCR5 inhibitor, on viral load.

METHODS

A common theoretical framework based on receptor theory and the operational model of (ant-)agonism has been developed to describe the binding of maraviroc to the CCR5 receptor and the subsequent decrease in viral load. The anchor point of the operational model in the differential equations of the viral dynamic model is the infection rate constant; this is assumed to be dependent on the number of free activated receptors on each target cell.

RESULTS

The new model provides one explanation for the apparent discrepancy between the in vivo binding of maraviroc to the CCR5 receptor (K(D) = 0.089 ng ml(-1)) and the estimated in vivo inhibition (IC(50) = 8 ng ml(-1)) of the infection rate. The estimated K(E) value of the operational model indicates that only 1.2% of free activated receptors are utilized to elicit 50% of the maximum infection rate.

CONCLUSIONS

The developed model suggests that the target cells, when activated, express more receptors (spare receptors) than needed. In the presence of maraviroc these spare receptors first require blocking before any decrease in the infection rate, and consequently in the viral load at equilibrium, can be detected. The model allows the simultaneous simulation of the binding of maraviroc to the CCR5 receptor and the change in viral load after both short- and long-term treatment.

摘要

目的

建立一种新型的联合病毒动力学/(抗)拮抗作用操作模型,以描述非竞争性CCR5抑制剂马拉维若对病毒载量的药效学作用。

方法

基于受体理论和(抗)拮抗作用操作模型,开发了一个通用理论框架,用于描述马拉维若与CCR5受体的结合以及随后病毒载量的下降。病毒动力学模型微分方程中操作模型的锚点是感染率常数;假定该常数取决于每个靶细胞上游离活化受体的数量。

结果

新模型为马拉维若在体内与CCR5受体的结合(K(D)=0.089 ng/ml)与感染率的估计体内抑制作用(IC(50)=8 ng/ml)之间明显的差异提供了一种解释。操作模型的估计K(E)值表明,仅1.2%的游离活化受体被用于引发50%的最大感染率。

结论

所建立的模型表明,靶细胞在活化时表达的受体(备用受体)数量超过所需。在存在马拉维若的情况下,这些备用受体首先需要被阻断,然后才能检测到感染率的任何下降,进而检测到平衡时病毒载量的下降。该模型能够同时模拟马拉维若与CCR5受体的结合以及短期和长期治疗后病毒载量的变化。

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