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

体内 效力 药理学 生物 细胞生物学 体外 化学 生物化学 生物技术
作者
Johan Gabrielsson,Stephan Hjorth
出处
期刊:Pharmacological Reviews [American Society for Pharmacology & Experimental Therapeutics]
卷期号:75 (3): 416-462 被引量:12
标识
DOI:10.1124/pharmrev.121.000524
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
深情安青应助科研通管家采纳,获得10
刚刚
李健应助科研通管家采纳,获得10
刚刚
共享精神应助科研通管家采纳,获得10
1秒前
zxszxs发布了新的文献求助10
1秒前
大模型应助科研通管家采纳,获得10
1秒前
eric888应助科研通管家采纳,获得10
1秒前
爱库珀应助科研通管家采纳,获得10
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
背后一江完成签到,获得积分10
2秒前
丘比特应助Li818采纳,获得10
2秒前
彭于晏应助zhenganw采纳,获得10
2秒前
4秒前
苹果柜子完成签到,获得积分10
4秒前
5秒前
7秒前
8秒前
9秒前
9秒前
10秒前
猪猪hero应助soma997采纳,获得10
10秒前
12秒前
量子星尘发布了新的文献求助10
13秒前
qxm发布了新的文献求助10
14秒前
jeremypan发布了新的文献求助20
14秒前
14秒前
zhenganw发布了新的文献求助10
15秒前
文艺凌旋发布了新的文献求助10
16秒前
18秒前
SSSYYY完成签到,获得积分10
20秒前
21秒前
动听的天晴完成签到,获得积分10
21秒前
22秒前
fd123完成签到,获得积分10
24秒前
zhenganw完成签到,获得积分20
24秒前
zz完成签到 ,获得积分10
25秒前
25秒前
WTaMi发布了新的文献求助10
26秒前
haifeng完成签到,获得积分10
26秒前
青年才俊发布了新的文献求助10
27秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
El poder y la palabra: prensa y poder político en las dictaduras : el régimen de Franco ante la prensa y el periodismo 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5604083
求助须知:如何正确求助?哪些是违规求助? 4688908
关于积分的说明 14856973
捐赠科研通 4696430
什么是DOI,文献DOI怎么找? 2541128
邀请新用户注册赠送积分活动 1507314
关于科研通互助平台的介绍 1471851