Pharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research and Development, 200 Cambridge Park Drive, Cambridge, MA, 02140, USA.
J Pharmacokinet Pharmacodyn. 2013 Oct;40(5):609-22. doi: 10.1007/s10928-013-9334-0. Epub 2013 Sep 26.
The TLR pathway has been implicated in the pathogenesis of numerous diseases. IRAK-4 is integral to this pathway, making it a viable target for therapeutic intervention. This paper describes the application of a mechanistic pharmacodynamic model to assess the impact of IRAK-4 inhibition on the TLR-4 pathway. The model uses a minimal number of rate equations, molecular species, and parameters to characterize TLR signal transduction biology, including ligand-receptor interaction, protein complex formation, protein phosphorylation, negative regulation, and cytokine production. The model successfully reproduces the dynamic responses of TNFα to LPS stimulation, the tolerance to sequential LPS bolus dosing, the burst following a LPS bolus or infusion, and the modulation of pathway biomarkers following administration of an IRAK-4 inhibitor. Drug dosing schemes are evaluated for simulated disease states. The results emphasize the significance of LPS kinetics on response dynamics and the utility of a mechanistic model to help translate drug efficacy.
TLR 通路与许多疾病的发病机制有关。 IRAK-4 是该通路的重要组成部分,使其成为治疗干预的可行靶点。本文描述了一种机制药效动力学模型在评估 IRAK-4 抑制对 TLR-4 通路影响中的应用。该模型使用最少数量的速率方程、分子种类和参数来描述 TLR 信号转导生物学,包括配体-受体相互作用、蛋白复合物形成、蛋白磷酸化、负调节和细胞因子产生。该模型成功地再现了 TNFα 对 LPS 刺激的动态反应、对连续 LPS 推注给药的耐受性、LPS 推注或输注后的爆发以及 IRAK-4 抑制剂给药后对通路生物标志物的调节。评估了药物给药方案模拟疾病状态。结果强调了 LPS 动力学对反应动力学的重要性,以及使用机制模型来帮助转化药物疗效的实用性。