GlaxoSmithKline, Clinical Imaging Centre, Hammersmith Hospital, London, UK.
J Cereb Blood Flow Metab. 2013 May;33(5):700-7. doi: 10.1038/jcbfm.2012.208. Epub 2013 Feb 6.
In vivo characterization of the brain pharmacokinetics of novel compounds provides important information for drug development decisions involving dose selection and the determination of administration regimes. In this context, the compound-target affinity is the key parameter to be estimated. However, if compounds exhibit a dynamic lag between plasma and target bound concentrations leading to pharmacological hysteresis, care needs to be taken to ensure the appropriate modeling approach is used so that the system is characterized correctly and that the resultant estimates of affinity are correct. This work focuses on characterizing different pharmacokinetic models that relate the plasma concentration to positron emission tomography outcomes measurements (e.g., volume of distribution and target occupancy) and their performance in estimating the true in vivo affinity. Measured (histamine H3 receptor antagonist--GSK189254) and simulated data sets enabled the investigation of different modeling approaches. An indirect pharmacokinetic-receptor occupancy model was identified as a suitable model for the calculation of affinity when a compound exhibits pharmacological hysteresis.
新型化合物的脑内药代动力学的体内特征为涉及剂量选择和给药方案确定的药物开发决策提供了重要信息。在这种情况下,化合物-靶标亲和力是需要估计的关键参数。然而,如果化合物表现出血浆和靶标结合浓度之间的动态滞后,导致药理学滞后,则需要小心确保使用适当的建模方法,以使系统得到正确的特征描述,并确保亲和力的估计值是正确的。这项工作的重点是对不同的药代动力学模型进行特征描述,这些模型将血浆浓度与正电子发射断层扫描结果测量值(例如,分布容积和靶标占有率)相关联,并评估它们在估计真实体内亲和力方面的性能。测量(组氨酸 H3 受体拮抗剂-GSK189254)和模拟数据集使我们能够研究不同的建模方法。当化合物表现出药理学滞后时,间接药代动力学-受体占有率模型被确定为计算亲和力的合适模型。