A translational strategy employing physiologically based modelling to predict the pharmacological active dose of RO7119929, an oral prodrug of a targeted cancer immunotherapy TLR7 agonist

前药 药代动力学 药理学 活性代谢物 药效学 体内 药品 医学 最大值 口服 化学 生物 生物技术
作者
Caroline Rynn,Kenichi Umehara,Tianyi Jiang,Malika Ait‐Goughoulte,Neil Parrott
出处
期刊:Xenobiotica [Informa]
卷期号:52 (8): 855-867
标识
DOI:10.1080/00498254.2022.2116368
摘要

RO7119929 is being developed as an orally administered prodrug of the TLR7-specific agonist and active drug, RO7117418, for the treatment of patients with solid tumours.In this publication, we present a case study wherein the human pharmacokinetics and pharmacological active dose were prospectively predicted following oral administration of the prodrug.A simple translational pharmacokinetic-pharmacodynamic strategy was applied to predict the pharmacological active dose of the prodrug in human. In vivo studies in monkey showed that an unbound plasma exposure of active drug of 1.5 ng/mL elicited secretion of key serum pharmacodynamic cytokine and chemokine biomarkers in monkey. This threshold of 1.5 ng/mL was close to the minimum effective concentration of active drug required to induce cytokine secretion in human peripheral blood mononuclear cells (3 ng/mL).Measured in vitro physicochemical and biochemical properties of the prodrug and active drug were applied as input parameters in physiologically based pharmacokinetic models to predict the pharmacokinetics of active drug after oral dosing of the prodrug in humans. Then, using the PBPK model, a dose which delivered an unbound plasma Cmax in line with the target pharmacodynamic threshold of 1.5 ng/mL was found. This defined the lowest pharmacologically active dose as 3 mg.The prodrug entered the clinic in 2020 in patients with primary or secondary liver cancers. Clear pharmacodynamic, transient, and dose-dependent cytokine induction was observed at prodrug doses > 1 mg.

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
sun发布了新的文献求助10
刚刚
chinh完成签到,获得积分10
1秒前
陟罚臧否完成签到,获得积分10
1秒前
1秒前
机灵纸鹤完成签到 ,获得积分10
2秒前
ffffwj2024完成签到,获得积分10
3秒前
来了来了完成签到 ,获得积分10
3秒前
君莫笑完成签到,获得积分10
5秒前
6秒前
zoujianqiao发布了新的文献求助10
7秒前
慕青应助林二车娜姆采纳,获得10
7秒前
脸小呆呆完成签到 ,获得积分10
8秒前
高高的采蓝完成签到,获得积分20
8秒前
acceptedsxy完成签到 ,获得积分10
8秒前
111完成签到,获得积分10
8秒前
WenzhengXu发布了新的文献求助10
9秒前
高大流沙完成签到,获得积分10
10秒前
李伟完成签到,获得积分10
10秒前
李爱国应助科研通管家采纳,获得10
12秒前
sevenhill应助科研通管家采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
隐形曼青应助科研通管家采纳,获得10
12秒前
天天快乐应助科研通管家采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
科目三应助科研通管家采纳,获得10
12秒前
12秒前
sevenhill应助科研通管家采纳,获得10
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
12秒前
sevenhill应助科研通管家采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
情怀应助科研通管家采纳,获得10
12秒前
英姑应助科研通管家采纳,获得10
12秒前
打打应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
ding应助科研通管家采纳,获得10
12秒前
12秒前
sevenhill应助科研通管家采纳,获得10
12秒前
Ava应助科研通管家采纳,获得10
12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
List of 1,091 Public Pension Profiles by Region 1541
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5498744
求助须知:如何正确求助?哪些是违规求助? 4595848
关于积分的说明 14450216
捐赠科研通 4528879
什么是DOI,文献DOI怎么找? 2481735
邀请新用户注册赠送积分活动 1465732
关于科研通互助平台的介绍 1438611