Prediction of Monoclonal Antibodies Pharmacokinetics in Human: Identification of a Reference Neonatal Fc Receptor (FcRn) Binding Affinity Using Physiologically Based Pharmacokinetic (PBPK) Modeling

药代动力学 基于生理学的药代动力学模型 单克隆抗体 化学 鉴定(生物学) 药理学 离解常数 训练集 药品 抗体 试验装置 线性回归 药物开发 血浆浓度 药物发现 计算生物学 数据集 人血浆 单克隆 医学 航程(航空) 体外 新生儿Fc受体
作者
Salih Benamara,Erik Sjögren,Florence Gattacceca,Marylore Chenel,Antoine Deslandes,Laurent Nguyen,Donato Teutonico
出处
期刊:ACS pharmacology & translational science [American Chemical Society]
卷期号:9 (1): 177-190 被引量:1
标识
DOI:10.1021/acsptsci.5c00674
摘要

High Resolution Image Download MS PowerPoint Slide Prediction of monoclonal antibody (mAb) pharmacokinetics (PK) in drug development remains challenging due to the lack of a standardized method for predicting elimination based on mechanistic pathways. Among the processes implemented in the physiologically based pharmacokinetic (PBPK) models for large molecules, FcRn-mediated recycling constitutes the predominant mechanism influencing the elimination of mAbs. In the present study, we assessed the predictivity of a generic value for the dissociation constant ( K d) for FcRn ( K d FcRn ) in humans, identified based on clinical data, to provide means for mechanism-based PK projections for mAbs in first-in-human (FIH) trials. We compiled a database of digitalized linear PK profiles for 50 mAbs administered intravenously in humans. Subsequently, the database was randomly divided into a training and a test data set, using a 7:3 ratio. For each drug in the training data set, a generic PBPK model was set up in PK-Sim, and a drug-specific K d FcRn parameter was estimated through data fitting. The median of estimated drug-specific K d FcRn was 1.05 μM and was used for naïve predictions of the PK of the drugs in the test data set. Plasma exposure (AUC) and terminal half-life were accurately predicted for 80% and 60% of the drugs in the test data set, respectively, with a prediction error within the 0.80–1.25-fold range. Additionally, 100% of the test data set showed prediction errors within the 0.50–2.00-fold range for both plasma exposure and half-life. The median of the estimated drug-specific K d FcRn determined using the whole database with 50 mAbs was 1.07 μM and was retained after evaluation as a more accurate default K d FcRn value. The reported results provide a large database of mAbs PBPK models with estimated K d FcRn values using PK-Sim, and a validated default K d FcRn value of 1.07 μM to perform naïve predictions of mAbs linear PK in the context of FIH trials.
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
chenxin7271发布了新的文献求助10
刚刚
紫焰完成签到 ,获得积分10
1秒前
zkf完成签到,获得积分10
3秒前
勤劳寒松完成签到,获得积分10
3秒前
小玲子完成签到 ,获得积分10
4秒前
Hello应助MetaMysteria采纳,获得10
5秒前
鸢一折纸完成签到,获得积分10
5秒前
6秒前
三七完成签到 ,获得积分10
7秒前
欢喜的友桃完成签到 ,获得积分10
8秒前
LY0430完成签到 ,获得积分10
8秒前
Orange应助JZCT采纳,获得10
9秒前
zgxj完成签到,获得积分10
9秒前
Beyond095完成签到,获得积分10
9秒前
mtxy01完成签到,获得积分10
10秒前
10秒前
cgx完成签到,获得积分10
12秒前
dS3mV4bO5vK7mM8n完成签到,获得积分10
12秒前
犹豫的若完成签到,获得积分10
14秒前
YY完成签到,获得积分10
14秒前
20250702完成签到 ,获得积分10
15秒前
背包客完成签到 ,获得积分10
16秒前
St雪完成签到,获得积分10
17秒前
这家伙发布了新的文献求助10
17秒前
17秒前
愉快的丹彤完成签到 ,获得积分10
19秒前
占那个完成签到 ,获得积分10
20秒前
20秒前
大师完成签到,获得积分10
22秒前
殷勤的花瓣完成签到 ,获得积分10
23秒前
zhechen完成签到,获得积分10
24秒前
落寞电灯胆完成签到,获得积分10
26秒前
小李完成签到 ,获得积分10
26秒前
哇咔咔完成签到 ,获得积分10
26秒前
薛强完成签到,获得积分10
28秒前
小恺发布了新的文献求助10
28秒前
水兽完成签到 ,获得积分10
29秒前
蕾姐完成签到,获得积分10
29秒前
香蕉觅云应助大宝采纳,获得10
30秒前
安烁完成签到 ,获得积分10
30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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7738991
求助须知:如何正确求助?哪些是违规求助? 9287933
关于积分的说明 20185229
捐赠科研通 7316956
什么是DOI,文献DOI怎么找? 3306016
关于科研通互助平台的介绍 2458519
邀请新用户注册赠送积分活动 2315956