Turn On, Tune In, Turnover! Target Biology Impacts In Vivo Potency, Efficacy, and Clearance.

IF 19.3 1区 医学 Q1 PHARMACOLOGY & PHARMACY
Johan Gabrielsson, Stephan Hjorth
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引用次数: 2

Abstract

Even though significant efforts have been spent in recent years to understand and define the determinants of in vivo potency and clearance, important pieces of information are still lacking. By introducing target turnover into the reasoning, we open up to further the understanding of central factors important to the optimization of translational dose-concentration-response predictions. We describe (i) new (open model) expressions of the in vivo potency and efficacy parameters, which embody target turnover, binding, and complex kinetics, also capturing full, partial, and inverse agonism and antagonism; (ii) a detailed examination of open models to show what potency and efficacy parameters have in common and how they differ; and (iii) a comprehensive literature review showing that target turnover rate varies with age, species, tissue/subregion, treatment, disease state, hormonal and nutritional state, and day-night cycle. The new open model expression, which integrates system and drug properties, shows the following. Fractional turnover rates rather than the absolute target or ligand-target complex expression determine necessary drug exposure via in vivo potency. Absolute ligand-target expression determines the need of a drug, based on the transduction ρ and in vivo efficacy parameters. The free enzyme concentration determines clearance and maximum metabolic rate. The fractional turnover rate determines time to equilibrium between substrate, free enzyme, and complex.The properties of substrate, target, and the complex demonstrate nonsaturable metabolic behavior at equilibrium. Nonlinear processes, previously referred to as capacity- and time-dependent kinetics, may occasionally have been disequilibria. Finally, the open model may pinpoint why some subjects differ in their demand of drug. SIGNIFICANCE STATEMENT: Understanding the target turnover is a central tenet in many translational dose-concentration-response predictions. New open model expressions of in vivo potency, efficacy parameter, and clearance are derived and anchored onto a comprehensive literature review showing that target turnover rate varies with age, species, tissue/subregion, treatment, disease, hormonal and nutritional state, day-night cycle, and more. Target turnover concepts will therefore significantly impact fundamental aspects of pharmacodynamics and pharmacokinetics, thereby also the basics of drug discovery, development, and optimization of clinical dosing.

Abstract Image

打开,调谐,周转!目标生物学影响体内效力、功效和清除。
尽管近年来已经付出了巨大的努力来理解和定义体内效力和清除的决定因素,但仍然缺乏重要的信息。通过将靶标转换引入推理,我们进一步打开了对优化平移剂量-浓度-反应预测的重要中心因素的理解。我们描述了(i)新的(开放模型)体内效力和功效参数的表达,这些参数体现了靶标转换、结合和复杂动力学,也捕获了完全、部分和反向的激动作用和拮抗作用;(ii)详细研究开放模型,以显示效力和功效参数的共同点和不同之处;(iii)综合文献综述显示靶细胞周转率随年龄、物种、组织/次区域、治疗、疾病状态、激素和营养状况以及昼夜周期而变化。新的开放模型表达式综合了系统和药物的性质,如下图所示。部分周转率而不是绝对靶标或配体-靶标复合物的表达,通过体内效价决定必要的药物暴露。配体-靶标的绝对表达决定了药物的需要,基于转导ρ和体内疗效参数。游离酶浓度决定清除率和最大代谢率。分数周转率决定了底物、游离酶和复合物之间达到平衡所需的时间。底物、靶物和配合物的性质在平衡状态下表现出不饱和代谢行为。非线性过程,以前被称为依赖于能力和时间的动力学,可能偶尔是不平衡的。最后,开放模型可以精确地解释为什么一些受试者对药物的需求不同。意义声明:了解靶标周转率是许多转译剂量-浓度-反应预测的中心原则。在全面的文献综述的基础上,导出了新的体内效价、疗效参数和清除率的开放模型表达式,表明靶周转率随年龄、物种、组织/次区域、治疗、疾病、激素和营养状态、昼夜周期等而变化。因此,靶标转换概念将显著影响药效学和药代动力学的基本方面,从而也是药物发现、开发和临床剂量优化的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pharmacological Reviews
Pharmacological Reviews 医学-药学
CiteScore
34.70
自引率
0.50%
发文量
40
期刊介绍: Pharmacological Reviews is a highly popular and well-received journal that has a long and rich history of success. It was first published in 1949 and is currently published bimonthly online by the American Society for Pharmacology and Experimental Therapeutics. The journal is indexed or abstracted by various databases, including Biological Abstracts, BIOSIS Previews Database, Biosciences Information Service, Current Contents/Life Sciences, EMBASE/Excerpta Medica, Index Medicus, Index to Scientific Reviews, Medical Documentation Service, Reference Update, Research Alerts, Science Citation Index, and SciSearch. Pharmacological Reviews offers comprehensive reviews of new pharmacological fields and is able to stay up-to-date with published content. Overall, it is highly regarded by scholars.
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