Process and System Clearances in Pharmacokinetic Models: Our Basic Clearance Concepts Are Correct

药代动力学 舱室(船) 代谢清除率 消除速率常数 稳态(化学) 分配量 分布(数学) 化学 药理学 医学 数学 海洋学 地质学 数学分析 物理化学
作者
Kenneth R. Korzekwa,Swati Nagar
出处
期刊:Drug Metabolism and Disposition [American Society for Pharmacology & Experimental Therapeutics]
卷期号:51 (4): 532-542 被引量:3
标识
DOI:10.1124/dmd.122.001060
摘要

Clearances are important parameters in pharmacokinetic (PK) models. All clearances in PK models are either process clearances that include diffusion, transport, and metabolism clearances or system clearances that include organ and systemic clearance. Clearance and volume of distribution are two independent parameters that characterize drug disposition in both individual compartments and systems of compartments. In this minireview, we show that systemic and organ clearances are net clearances that can be easily derived by partition analysis. When drugs are eliminated from the central compartment by first-order processes, systemic clearance is constant. When drugs are eliminated from a peripheral compartment, instantaneous systemic clearance will vary with time. However, average clearance and clearance at steady state will be constant and will equal dose divided by area under the curve. We show that peripheral elimination will not have a large impact on most pharmacokinetic analyses and that standard models of organ and systemic clearance are useful and appropriate.

SIGNIFICANCE STATEMENT

There are two basic kinds of clearances used in pharmacokinetic models, process and system clearances. We show that organ and systemic clearances are net clearances with blood or plasma as the driving concentration. For linear pharmacokinetics, clearance is constant for elimination from the central compartment but varies with time for peripheral elimination. Despite the different kinds of clearance parameters and models, standard clearance models and concepts remain valid.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Criminology34应助Tian采纳,获得10
刚刚
1秒前
唐文硕发布了新的文献求助10
1秒前
1秒前
fhz发布了新的文献求助20
1秒前
1秒前
isabelwy发布了新的文献求助10
1秒前
悦耳青曼发布了新的文献求助10
2秒前
小葛发布了新的文献求助10
2秒前
lameliu完成签到,获得积分10
2秒前
善学以致用应助Msong采纳,获得10
2秒前
19251758320完成签到 ,获得积分10
2秒前
开放夜南发布了新的文献求助10
2秒前
唐飒完成签到,获得积分10
3秒前
隐形曼青应助awoe采纳,获得10
3秒前
烂漫纲发布了新的文献求助10
3秒前
3秒前
3秒前
somous发布了新的文献求助10
3秒前
CipherSage应助王筠曦采纳,获得30
4秒前
4秒前
4秒前
Hello应助lkk采纳,获得10
4秒前
乂氼发布了新的文献求助10
5秒前
大模型应助Awei采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
yang发布了新的文献求助10
5秒前
Aurora发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
6秒前
光亮又晴发布了新的文献求助10
6秒前
7秒前
迷路巧曼发布了新的文献求助20
7秒前
cc发布了新的文献求助30
7秒前
烂漫的雅容完成签到,获得积分10
8秒前
阿猫完成签到,获得积分10
8秒前
8秒前
烯灯发布了新的文献求助10
9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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 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 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836