Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340.
Early Clinical Development, Pfizer Worldwide Research and Development, Groton, Connecticut 06340.
J Pharm Sci. 2019 Nov;108(11):3745-3749. doi: 10.1016/j.xphs.2019.08.004. Epub 2019 Aug 13.
Significant advances have been made over the years to accurately measure plasma protein binding (PPB) of highly bound compounds. However, because of perceived uncertainty based on historical suboptimal methods and limitation of radiochemical purity of radiolabeled materials, current regulatory guidelines recommend using an arbitrary cutoff fraction unbound (f) of 0.01 as the lower limit for drug-drug interaction (DDI) prediction. This can result in significant overprediction of DDI for highly bound compounds, unnecessary DDI clinical trials and more restrictive drug product labels. To build confidence in the accuracy of PPB measurement for highly bound compounds, 2 orthogonal methods, equilibrium dialysis and ultracentrifugation, are assessed in this study to measure PPB of 10 highly bound drugs (f < 0.01). The results show that the 2 very different methods yield comparable f values, generally within 2-fold of each other. The data suggest that PPB of highly bound compounds can be measured accurately using current state-of-art methods, and the experimental f should be used for DDI prediction to provide a more realistic evaluation of DDI risk in the clinic.
多年来,在准确测量高度结合化合物的血浆蛋白结合(PPB)方面已经取得了重大进展。然而,由于基于历史上非最佳方法和放射性标记材料放射性纯度的限制而产生的不确定性,当前的监管指南建议使用任意的 0.01 未结合分数(f)作为药物相互作用(DDI)预测的下限。这可能导致对高度结合化合物的 DDI 过度预测,不必要的 DDI 临床试验和更严格的药物产品标签。为了建立对高度结合化合物的 PPB 测量准确性的信心,本研究评估了两种正交方法,即平衡透析法和超速离心法,以测量 10 种高度结合药物的 PPB(f < 0.01)。结果表明,这两种非常不同的方法得出的 f 值相当,通常彼此相差 2 倍以内。这些数据表明,使用当前最先进的方法可以准确测量高度结合化合物的 PPB,并且应该使用实验 f 值进行 DDI 预测,以在临床上更真实地评估 DDI 风险。