亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Simultaneously Predicting Pharmacokinetics of Loratadine and Desloratadine in Children Using a Whole‐Body Physiologically Based Pharmacokinetic Model

氯雷他定 地氯雷他定 基于生理学的药代动力学模型 药代动力学 药理学 医学
作者
Tianlei Liu,Ruijing Mu,Xiaodong Liu
出处
期刊:The Journal of Clinical Pharmacology [Wiley]
卷期号:65 (1): 74-86 被引量:5
标识
DOI:10.1002/jcph.6120
摘要

Abstract Loratadine is metabolized to desloratadine. Both of them have been used for allergy treatment in children. Anatomical, physiological, and biological parameters of children and clearance of drugs vary with age. We aimed to develop a whole‐body physiologically based pharmacokinetic (PBPK) model to simultaneously predict the pharmacokinetics of loratadine and desloratadine in children. Following validation using 11 adult data sets, the developed PBPK model was extrapolated to children. Plasma concentrations following oral loratadine or desloratadine to children of different ages were simulated and compared with six children data sets. After scaling anatomy/physiology, protein binding, and clearance, pharmacokinetics of the two drugs in pediatric populations were satisfactorily predicted. Most of the observed concentrations fell within the 5th‐95th percentile range of the simulations in 1000 virtual children. The predicted area under the concentration‐time curve (AUC) and C max fell within 0.5‐2.0‐fold range of the observations. Oral doses of loratadine or desloratadine for children of different ages were simulated based on similar AUCs following 10 mg of loratadine or 5 mg of desloratadine for adults. Pediatric PBPK model was successfully developed to simultaneously predict plasma concentrations of loratadine and desloratadine in children of all ages. The developed pediatric PBPK model may also be applied to optimize pediatric dosage.
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
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
3秒前
可爱的函函应助yrug44采纳,获得10
5秒前
oleskarabach完成签到,获得积分20
6秒前
LeiWeI发布了新的文献求助10
7秒前
FashionBoy应助jocelyn采纳,获得10
9秒前
9秒前
顾顾完成签到 ,获得积分10
16秒前
17秒前
19秒前
23秒前
yy完成签到 ,获得积分10
25秒前
lili完成签到 ,获得积分10
27秒前
dhx7530发布了新的文献求助10
28秒前
爱笑果汁完成签到 ,获得积分20
29秒前
31秒前
呼延水云发布了新的文献求助10
32秒前
英俊的铭应助vuvcud采纳,获得10
32秒前
吴大王发布了新的文献求助10
37秒前
43秒前
星辰大海应助dhx7530采纳,获得10
45秒前
45秒前
jeronimo完成签到,获得积分10
46秒前
vuvcud发布了新的文献求助10
48秒前
48秒前
脑洞疼应助jocelyn采纳,获得10
52秒前
桐桐应助爱笑果汁采纳,获得10
52秒前
爆米花应助liwenya采纳,获得10
54秒前
无昵称完成签到 ,获得积分10
57秒前
1分钟前
深情安青应助欣慰的靖柔采纳,获得10
1分钟前
完美世界应助友好凤采纳,获得10
1分钟前
健忘的珩完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
Hello应助科研通管家采纳,获得10
1分钟前
精明凡双应助科研通管家采纳,获得10
1分钟前
yrug44发布了新的文献求助10
1分钟前
1分钟前
1分钟前
gin发布了新的文献求助10
1分钟前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Ideology and Meaning-Making under the Putin Regime 750
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6847840
求助须知:如何正确求助?哪些是违规求助? 8554858
关于积分的说明 18197664
捐赠科研通 6203245
什么是DOI,文献DOI怎么找? 3042648
关于科研通互助平台的介绍 2035922
邀请新用户注册赠送积分活动 2020276