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Trends Pharmacol Sci. 2016 Oct;37(10):831-842. doi: 10.1016/j.tips.2016.06.008. Epub 2016 Jul 6.
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Cell membranes… and how long drugs may exert beneficial pharmacological activity in vivo.细胞膜……以及药物在体内可能发挥有益药理活性的时长。
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Effects of target binding kinetics on in vivo drug efficacy: koff , kon and rebinding.靶点结合动力学对体内药物疗效的影响:解离速率常数、结合速率常数与再结合
Br J Pharmacol. 2016 Aug;173(15):2319-34. doi: 10.1111/bph.13504. Epub 2016 Jul 4.
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Mechanistic models enable the rational use of in vitro drug-target binding kinetics for better drug effects in patients.机制模型有助于合理利用体外药物-靶点结合动力学,以在患者中实现更好的药物疗效。
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双价和诱导契合样结合药物在体内的独特靶位占有率。

Distinct in vivo target occupancy by bivalent- and induced-fit-like binding drugs.

机构信息

Department of Molecular and Biochemical Pharmacology, Vrije Universiteit Brussel, Brussels, Belgium.

出版信息

Br J Pharmacol. 2017 Dec;174(23):4233-4246. doi: 10.1111/bph.13989. Epub 2017 Oct 18.

DOI:10.1111/bph.13989
PMID:28838028
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5715606/
Abstract

BACKGROUND AND PURPOSE

Optimal drug therapy often requires long-lasting target occupancy While this attribute was usually linked to the drug's pharmacokinetic properties, the dissociation rate is now increasingly recognized to contribute as well. Nearly all the earlier pharmacokinetic-pharmacodynamic (PK-PD) simulations encompassed single-step binding drugs and focused on k . However, 'micro'-PK mechanisms and more complex binding mechanisms like bivalent- and induced-fit binding may contribute as well. Corresponding binding models are presently explored.

EXPERIMENTAL APPROACH

We compared the 24 h in vivo occupancy over time profiles of prototype bivalent- and induced-fit-like binding drugs (A and B) after one or repeated daily dosings, both without and with rebinding. Special attention was focused on the effect of each of the microscopic rate constants on the occupancy profiles and on the metrics to represent those profiles.

KEY RESULTS

Although both models can be represented by the same mathematical formulation, drugs A and B display quite different occupancy profiles, even though they have the same potency. These differences can be attributed to the different effects of their microscopic rate constants on their composite k and also on their susceptibility to experience rebinding. This also affects how the occupancy profiles of bivalent- and induced-fit-like binders progress when repeating the dosings and by changing the dosage.

CONCLUSIONS AND IMPLICATIONS

Closer attention should be paid to more complex binding models in PK-PD simulations. This may help pharmacologists and medicinal chemists to improve the translation of in vitro kinetic measurements from preclinical screening programmes into clinical efficiency.

摘要

背景与目的

优化药物治疗通常需要长期的靶标占有率。虽然这一特性通常与药物的药代动力学特性有关,但解离率现在也越来越被认为是有贡献的。几乎所有早期的药代动力学-药效学(PK-PD)模拟都涵盖了单步结合药物,并专注于 k。然而,“微观”PK 机制和更复杂的结合机制,如双价和诱导契合结合,也可能有贡献。目前正在探索相应的结合模型。

实验方法

我们比较了原型双价和诱导契合样结合药物(A 和 B)在单次或重复每日剂量后,有无再结合的情况下,24 小时体内占有率随时间的变化曲线。特别关注每个微观速率常数对占有率曲线的影响,以及代表这些曲线的指标。

主要结果

尽管这两种模型都可以用相同的数学公式来表示,但药物 A 和 B 显示出截然不同的占有率曲线,尽管它们具有相同的效力。这些差异可以归因于它们的微观速率常数对它们的复合 k 的不同影响,以及它们对再结合的敏感性。这也会影响双价和诱导契合结合物的占有率曲线在重复剂量和改变剂量时的进展情况。

结论和意义

在 PK-PD 模拟中应更加关注更复杂的结合模型。这可能有助于药理学家和药物化学家将体外动力学测量从临床前筛选项目转化为临床效率。