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的填写文献信息,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!

Predicting Pharmacokinetics of Active Constituents in Spatholobi caulis by Using Physiologically Based Pharmacokinetic Models

基于生理学的药代动力学模型 药代动力学 最大值 药理学 医学 传统医学
作者
Xiaoyan Liu,Ruihu Du,Tao Zhang,Yingzi Li,Ludi Li,Zheng Yang,You-Bo Zhang,Qi Wang
出处
期刊:Pharmaceuticals [MDPI AG]
卷期号:17 (12): 1621-1621
标识
DOI:10.3390/ph17121621
摘要

Background/Objectives: Spatholobi Caulis (SPC) is a medicinal plant that mainly grows in China and Southeast Asian countries and commonly used in clinics; the pharmacokinetic characteristics in humans need to be determined. This study was to establish the physiologically based pharmacokinetic (PBPK) models of multiple active constituents from SPC in rats, and predict the pharmacokinetic properties of rats with different dosages and extrapolated to humans. Methods: The parameters were collected based on our previous study and by prediction using ADMET Predictor software predict. The PBPK models for 3′-methoxydadizein (1), 8-O-methylretusin (2), daidzin (3), and isolariciresinol (4) administered orally to rats were established using GastroPlus software. These models were employed to simulate the pharmacokinetic properties in rats across various dosages, and subsequently extrapolated to humans. The calculated parameters including Cmax, Tmax, and AUC were compared with observed values. The accuracy of the PBPK models was assessed using fold-error (FE) values. Result: The FE values ranged from 1.03 to 1.52, meeting the PBPK model regulations where FE should be less than 2. The sensitivity analysis focusing on the absorption amount and AUC0→t of these four constituents in humans was also conducted. These results confirm the successful establishment of PBPK models of these four constituents from SPC in this study, and these models were applicable to predict pharmacokinetics across various doses and extrapolate across species. Conclusions: The PBPK models of four constituents can be used to predict the pharmacokinetic characteristics in humans after oral administration of SPC and provide useful data for safe and rational medication in clinical practice.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
金枪鱼子发布了新的文献求助10
4秒前
邓大卫完成签到,获得积分20
4秒前
娜行完成签到 ,获得积分10
5秒前
5秒前
xx完成签到 ,获得积分10
7秒前
10秒前
去你丫的随机昵称关注了科研通微信公众号
13秒前
张光光完成签到 ,获得积分10
13秒前
14秒前
香菜发布了新的文献求助10
14秒前
uujj发布了新的文献求助10
17秒前
芬芬完成签到,获得积分10
21秒前
MAYAN完成签到 ,获得积分10
23秒前
SCT发布了新的文献求助10
24秒前
27秒前
27秒前
atdawn1998发布了新的文献求助10
28秒前
35秒前
wskslife完成签到,获得积分10
42秒前
欢歌笑语完成签到,获得积分10
42秒前
44秒前
所所应助和谐蛋蛋采纳,获得10
45秒前
taku完成签到 ,获得积分10
50秒前
香菜发布了新的文献求助10
57秒前
atdawn1998完成签到,获得积分10
58秒前
uujj完成签到,获得积分20
1分钟前
atdawn1998发布了新的文献求助10
1分钟前
Winner完成签到,获得积分10
1分钟前
1分钟前
1分钟前
ysssp完成签到,获得积分10
1分钟前
1分钟前
HS完成签到,获得积分10
1分钟前
起风了完成签到 ,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
wanci应助科研通管家采纳,获得200
1分钟前
丘比特应助科研通管家采纳,获得10
1分钟前
在水一方应助科研通管家采纳,获得10
1分钟前
小蘑菇应助科研通管家采纳,获得10
1分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3311000
求助须知:如何正确求助?哪些是违规求助? 2943859
关于积分的说明 8516564
捐赠科研通 2619145
什么是DOI,文献DOI怎么找? 1432095
科研通“疑难数据库(出版商)”最低求助积分说明 664484
邀请新用户注册赠送积分活动 649802