已入深夜,您辛苦了!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!祝你早点完成任务,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
lqqandzyy发布了新的文献求助100
2秒前
义气的熊猫完成签到,获得积分10
3秒前
王i发布了新的文献求助10
4秒前
汉堡包应助认真采波采纳,获得10
5秒前
深情安青应助甜蜜的小小采纳,获得10
6秒前
orixero应助派出所110采纳,获得10
8秒前
8秒前
12秒前
Tayzon完成签到,获得积分10
13秒前
15秒前
15秒前
HMG1COA完成签到 ,获得积分10
16秒前
悦耳的怀寒应助koko采纳,获得20
16秒前
Annin完成签到,获得积分10
16秒前
今后应助adeno采纳,获得10
17秒前
今夜有雨完成签到 ,获得积分10
18秒前
lqqandzyy完成签到,获得积分10
18秒前
派出所110发布了新的文献求助10
18秒前
领导范儿应助leeyc采纳,获得10
18秒前
拾忆发布了新的文献求助10
19秒前
ylong完成签到,获得积分10
20秒前
20秒前
李健应助yara采纳,获得10
21秒前
molihuakai应助Li_华采纳,获得10
22秒前
22秒前
cc关注了科研通微信公众号
22秒前
ljm完成签到 ,获得积分10
23秒前
是个宝耶完成签到 ,获得积分10
24秒前
耍酷的徐坤应助zzq采纳,获得10
24秒前
大模型应助zzq采纳,获得10
24秒前
充电宝应助zztqaq采纳,获得10
25秒前
25秒前
王i完成签到,获得积分20
26秒前
27秒前
27秒前
娜娜子欧发布了新的文献求助10
27秒前
28秒前
cdercder应助浅浅殇采纳,获得10
29秒前
29秒前
29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
Cronologia da história de Macau 5000
咳嗽・喀痰の診療ガイドライン第2版2025 800
Petrology and Plate Tectonics 800
Electrode Potentials 550
The globalisation of real estate: the politics and practice of foreign real estate investment 500
Trees of tropical Asia : an illustrated guide to diversity 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7017905
求助须知:如何正确求助?哪些是违规求助? 8690494
关于积分的说明 18421119
捐赠科研通 6508796
什么是DOI,文献DOI怎么找? 3107900
关于科研通互助平台的介绍 2179614
邀请新用户注册赠送积分活动 2083655