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基于生理学的阿普唑仑药代动力学和药效学模型:对焦虑和成瘾的影响。

Physiologically based pharmacokinetic and pharmacodynamic modelling of alprazolam: Implications for anxiety and addiction.

机构信息

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

出版信息

Br J Clin Pharmacol. 2023 Aug;89(8):2569-2581. doi: 10.1111/bcp.15719. Epub 2023 Apr 18.

Abstract

AIMS

Alprazolam is an anxiolytic compound that can lead to psychological and physiological dependence especially with prolonged use. This study utilized physiologically based pharmacokinetic (PK) and pharmacodynamic (PD) modelling to further examine the underlying mechanisms of anxiety treatment and addiction.

METHODS

Data and parameter values for this study were obtained from PubMed and DrugBank literature searches. The physiologically based PK models for alprazolam were developed using PK-Sim software and PD models were implemented with the MonolixSuite 2021R platform.

RESULTS

After single administrations, peak unbound interstitial brain concentrations range from 4 to 33 nM for 0.25-2 mg-doses of the immediate-release form and 3-54 nM for 0.5-10-mg doses of the extended-release form. With repetitive administrations, peak concentration is 59 nM for a 2-mg alprazolam immediate-release dose and 122 nM for a 10-mg extended-release dose. Potentiation of EC GABA-gated currents from recombinant GABA Rs composed of α1β2γ2, α2β3γ2 and α5β3γ2 subunit combinations is 92, 150 and 75%, respectively, for an alprazolam concentration of 59 nM. The 10-90% rise times for the brain concentration-time profile following a single 1-mg immediate-release administration is 22.8 min and 3.8 h for a 3-mg extended-release administration.

CONCLUSION

Unbound interstitial brain concentration-time profiles of alprazolam corresponded to changes in β rhythm activity, peak saccade velocity, mood improvement, cognitive speed slowing and digit symbol substitution test scores. PD models for these endpoints suggest that alprazolam immediate-release maximal effects on cognitive slowing, cognitive impairment, sedation and mood improvement occur sequentially following the brain concentration-time profile.

摘要

目的

阿普唑仑是一种抗焦虑化合物,特别是长期使用会导致心理和生理依赖。本研究利用基于生理的药代动力学(PK)和药效动力学(PD)模型进一步研究焦虑治疗和成瘾的潜在机制。

方法

本研究的数据和参数值来自 PubMed 和 DrugBank 文献检索。使用 PK-Sim 软件开发阿普唑仑的基于生理的 PK 模型,并使用 MonolixSuite 2021R 平台实现 PD 模型。

结果

单次给药后,速释形式 0.25-2mg 剂量和缓释形式 0.5-10mg 剂量的阿普唑仑未结合脑间质峰浓度范围为 4-33 nM 和 3-54 nM。重复给药后,2mg 阿普唑仑速释剂量的峰浓度为 59 nM,10mg 缓释剂量的峰浓度为 122 nM。重组 GABA Rs 中由 α1β2γ2、α2β3γ2 和 α5β3γ2 亚基组合组成的 EC GABA 门控电流的增强分别为 92%、150%和 75%,阿普唑仑浓度为 59 nM。单次 1mg 速释给药后,脑浓度-时间曲线的 10-90%上升时间为 22.8 分钟,3mg 缓释给药为 3.8 小时。

结论

阿普唑仑未结合脑间质浓度-时间曲线与β 节律活动、峰值扫视速度、情绪改善、认知速度减慢和数字符号替代测试评分的变化相对应。这些终点的 PD 模型表明,阿普唑仑速释对认知减慢、认知障碍、镇静和情绪改善的最大作用依次发生在脑浓度-时间曲线之后。

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