A Physiologically Based Pharmacokinetic Model of an Oral Tyrosine Kinase 2 Inhibitor Deucravacitinib in Healthy Adults

Xinyue Chen MS, Zhoumeng Lin PhD
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Abstract

This study presents the first physiologically based pharmacokinetic (PBPK) model for deucravacitinib, a novel oral selective tyrosine kinase 2 (TYK2) inhibitor approved for treating moderate-to-severe plaque psoriasis. Using GastroPlus, we developed and validated a comprehensive PBPK model incorporating multiple elimination pathways and enterohepatic circulation. The model was calibrated using single-dose pharmacokinetic data (3-40 mg) from healthy adults and validated against external datasets from multiple clinical studies across different populations. Model predictions demonstrated strong agreement with observed data, with simulated/observed ratios for the area under the curve (AUC) and maximum plasma concentration (Cmax) consistently falling within 0.5-2.0 across all dosing regimens. Linear regression analysis showed a robust correlation between simulated and observed plasma concentrations for both single (R2 ≈ 0.78) and multiple (R2 ≈ 0.77) dosing scenarios. While the model accurately predicted early-phase pharmacokinetics and exposure metrics, slight underestimation was observed during the terminal elimination phase. The successful validation across Western and Chinese populations demonstrates the capability of the model to account for population-specific physiological differences. This validated PBPK model provides a mechanistic framework for investigating deucravacitinib pharmacokinetics in various clinical scenarios and could support future investigations in special populations, particularly those with renal or hepatic impairment where significant exposure changes have been observed clinically.

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口服酪氨酸激酶2抑制剂Deucravacitinib在健康成人中基于生理的药代动力学模型
deucravacitinib是一种新型口服选择性酪氨酸激酶2 (TYK2)抑制剂,被批准用于治疗中重度斑块型银屑病,本研究提出了首个基于生理的药代动力学(PBPK)模型。利用GastroPlus,我们开发并验证了包含多种消除途径和肠肝循环的综合PBPK模型。该模型使用健康成人的单剂量药代动力学数据(3-40 mg)进行校准,并根据来自不同人群的多项临床研究的外部数据集进行验证。模型预测与观测数据非常吻合,在所有给药方案中,曲线下面积(AUC)和最大血浆浓度(Cmax)的模拟/观测比始终落在0.5-2.0之间。线性回归分析显示,在单次给药(R2≈0.78)和多次给药(R2≈0.77)情况下,模拟血浆浓度与实际血浆浓度之间存在显著相关性。虽然该模型准确地预测了早期药代动力学和暴露指标,但在最终消除阶段观察到轻微低估。在西方和中国人群中的成功验证证明了该模型能够解释人群特异性生理差异。这个经过验证的PBPK模型为在各种临床情况下研究deucravacitinib药代动力学提供了一个机制框架,并可以支持未来对特殊人群的研究,特别是那些在临床上观察到显著暴露变化的肾或肝损害患者。
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