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本文引用的文献

1
Blockade of the brain histamine H3 receptor by JNJ-39220675: preclinical PET studies with [¹¹C]GSK189254 in anesthetized baboon.阻断脑组胺 H3 受体:麻醉狒狒中 [¹¹C]GSK189254 的临床前 PET 研究
Psychopharmacology (Berl). 2012 Oct;223(4):447-55. doi: 10.1007/s00213-012-2733-x. Epub 2012 May 22.
2
Prediction of repeat-dose occupancy from single-dose data: characterisation of the relationship between plasma pharmacokinetics and brain target occupancy.从单次剂量数据预测重复剂量占有率:血浆药代动力学与脑靶部位占有率之间关系的特征描述。
J Cereb Blood Flow Metab. 2011 Mar;31(3):944-52. doi: 10.1038/jcbfm.2010.175. Epub 2010 Oct 13.
3
Evaluation of 11C-GSK189254 as a novel radioligand for the H3 receptor in humans using PET.评估 11C-GSK189254 作为一种新型 H3 受体放射性配体在人体 PET 中的应用。
J Nucl Med. 2010 Jul;51(7):1021-9. doi: 10.2967/jnumed.109.071753. Epub 2010 Jun 16.
4
Adaptive-optimal design in PET occupancy studies.正电子发射断层扫描占有率研究中的自适应最优设计。
Clin Pharmacol Ther. 2010 May;87(5):563-71. doi: 10.1038/clpt.2010.9. Epub 2010 Mar 24.
5
Measuring drug occupancy in the absence of a reference region: the Lassen plot re-visited.在缺乏参照区域的情况下测量药物占有率:重新审视 Lassen 图。
J Cereb Blood Flow Metab. 2010 Jan;30(1):46-50. doi: 10.1038/jcbfm.2009.190. Epub 2009 Sep 9.
6
Consensus nomenclature for in vivo imaging of reversibly binding radioligands.可逆结合放射性配体体内成像的共识命名法。
J Cereb Blood Flow Metab. 2007 Sep;27(9):1533-9. doi: 10.1038/sj.jcbfm.9600493. Epub 2007 May 9.
7
GSK189254, a novel H3 receptor antagonist that binds to histamine H3 receptors in Alzheimer's disease brain and improves cognitive performance in preclinical models.GSK189254,一种新型H3受体拮抗剂,可与阿尔茨海默病大脑中的组胺H3受体结合,并改善临床前模型中的认知表现。
J Pharmacol Exp Ther. 2007 Jun;321(3):1032-45. doi: 10.1124/jpet.107.120311. Epub 2007 Feb 27.
8
Robust experiment design for estimating myocardial beta adrenergic receptor concentration using PET.使用正电子发射断层扫描(PET)估计心肌β肾上腺素能受体浓度的稳健实验设计。
Med Phys. 2007 Jan;34(1):151-65. doi: 10.1118/1.2402585.
9
Pharmacokinetic-pharmacodynamic modelling: history and perspectives.药代动力学-药效学建模:历史与展望
J Pharmacokinet Pharmacodyn. 2006 Jun;33(3):227-79. doi: 10.1007/s10928-005-9002-0. Epub 2006 Jan 11.
10
Measuring the in vivo binding parameters of [18F]-fallypride in monkeys using a PET multiple-injection protocol.使用正电子发射断层扫描(PET)多次注射方案测量猴子体内[18F] - 法螺环丙哌啶的结合参数。
J Cereb Blood Flow Metab. 2004 Mar;24(3):309-22. doi: 10.1097/01.WCB.0000105020.93708.DD.

药物-靶标相互作用的 PET 动力学分析及其在药理学滞后特征描述中的应用。

Kinetic analysis of drug-target interactions with PET for characterization of pharmacological hysteresis.

机构信息

GlaxoSmithKline, Clinical Imaging Centre, Hammersmith Hospital, London, UK.

出版信息

J Cereb Blood Flow Metab. 2013 May;33(5):700-7. doi: 10.1038/jcbfm.2012.208. Epub 2013 Feb 6.

DOI:10.1038/jcbfm.2012.208
PMID:23385202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3652698/
Abstract

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.

摘要

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。