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Prediction of brain clozapine and norclozapine concentrations in humans from a scaled pharmacokinetic model for rat brain and plasma pharmacokinetics

机译:从大鼠脑和血浆药代动力学的比例药代动力学模型预测人脑中氯氮平和去甲氯氮平的浓度

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摘要

BACKGROUND: Clozapine is highly effective in treatment-resistant schizophrenia, although, there remains significant variability in the response to this drug. To better understand this variability, the objective of this study was to predict brain extracellular fluid (ECF) concentrations and receptor occupancy of clozapine and norclozapine in human central nervous system by translating plasma and brain ECF pharmacokinetic (PK) relationships in the rat and coupling these with known human disposition of clozapine in the plasma.METHODS: Unbound concentrations of clozapine and norclozapine were measured in rat brain ECF using quantitative microdialysis after subcutaneous administration of a 10 mg/kg single dose of clozapine or norclozapine. These data were linked with plasma concentrations obtained in the same rats to develop a plasma-brain ECF compartmental model. Parameters describing brain ECF disposition were then allometrically scaled and linked with published human plasma PK to predict human ECF concentrations. Subsequently, prediction of human receptor occupancy at several CNS receptors was based on an effect model that related the predicted ECF concentrations to published concentration-driven receptor occupancy parameters.RESULTS: A one compartment model with first order absorption and elimination best described clozapine and norclozapine plasma concentrations in rats. A delay in the transfer of clozapine and norclozapine from plasma to the brain ECF compartment was captured using a transit compartment model approach. Human clozapine and norclozapine concentrations in brain ECF were simulated, and from these the median percentage of receptor occupancy of dopamine-2, serotonin-2A, muscarinic-1, alpha-1 adrenergic, alpha-2 adrenergic and histamine-1 for clozapine, and dopamine-2 for norclozapine were consistent with values reported in the literature.CONCLUSIONS: A PK model that relates clozapine and norclozapine disposition in rat plasma and brain, including blood-brain barrier transport, was developed. Using allometry and published human plasma PK, the model was successfully translated to predict clozapine and norclozapine concentrations and accordant receptor occupancy of both agents in human brain. These predicted exposure and occupancy measures at several receptors that bind clozapine may be employed to extend our understanding of clozapine's complex behavioral effects in humans.
机译:背景:氯氮平在治疗难治性精神分裂症中非常有效,尽管对这种药物的反应仍然存在显着差异。为了更好地理解这种变异性,本研究的目的是通过翻译大鼠中血浆与大脑ECF药代动力学(PK)的关系并将其耦合,来预测人中枢神经系统中氯氮平和去甲氯氮平的脑细胞外液(ECF)浓度和受体占有率方法:皮下注射单剂10 mg / kg的氯氮平或去甲氯氮平后,通过定量微量透析法在大鼠脑ECF中测量氯氮平和去氯氮平的未结合浓度。这些数据与在同一只大鼠中获得的血浆浓度相关,以建立血浆脑ECF隔室模型。然后对描述脑ECF处置的参数进行异度缩放,并与已发布的人血浆PK关联以预测人ECF浓度。随后,基于一个将预测的ECF浓度与已公布的浓度驱动的受体占有率参数相关的效应模型,来预测人类受体在几种CNS受体中的占有率。结果:具有一阶吸收和消除的最有效描述氯氮平和去甲氯氮平血浆的单室模型大鼠体内的浓度。使用转运室模型方法捕获了氯氮平和去氯氮平从血浆向脑ECF室转移的延迟。模拟人脑ECF中的氯氮平和去氯氮平浓度,并从中得出氯氮平对多巴胺2、5-羟色胺2A,毒蕈碱1,α-1肾上腺素,α-2肾上腺素和组胺1的受体占有率的中位数百分比,以及结论:多巴胺-2用于去甲氯氮平的文献报道与文献报道的值一致。结论:建立了一种与氯氮平和去甲氯氮平在大鼠血浆和脑中的分布有关的PK模型,包括血脑屏障的转运。使用异速测量法和公开的人血浆PK,该模型成功翻译成可预测人脑中两种药物的氯氮平和去氯氮平浓度以及相应受体的占有率。这些预测的在与氯氮平结合的几个受体上的暴露和占用措施可能被用来扩展我们对氯氮平对人类的复杂行为影响的理解。

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