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
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.
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