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在野生型大鼠中,通过实验和建模方法研究 γ-分泌酶抑制剂处理后 Aβ 分布的动态变化。

The dynamics of Aβ distribution after γ-secretase inhibitor treatment, as determined by experimental and modelling approaches in a wild type rat.

机构信息

Preclinical Modeling and Simulation and Preclinical CNS Research Departments, F. Hoffmann-La Roche Ltd, Basel, Switzerland.

出版信息

J Pharmacokinet Pharmacodyn. 2012 Jun;39(3):227-37. doi: 10.1007/s10928-012-9246-4. Epub 2012 Apr 6.

Abstract

Inhibition of the enzyme(s) that produce the Amyloid beta (Aβ) peptide, namely BACE and γ-secretase, is considered an attractive target for Alzheimer's disease therapy. However, the optimal pharmacokinetic-pharmacodynamic modelling method to describe the changes in Aβ levels after drug treatment is unclear. In this study, turnover models were employed to describe Aβ levels following treatment with the γ-secretase inhibitor RO5036450, in the wild type rat. Initially, Aβ level changes in the brain, cerebral spinal fluid (CSF) and plasma were modeled as separate biological compartments, which allowed the estimation of a compound IC₅₀ and Aβ turnover. While the data were well described, the model did not take into consideration that the CSF pool of Aβ most likely originates from the brain via the CSF drainage pathway. Therefore, a separate model was carried out, with the assumption that CSF Aβ levels originated from the brain. The optimal model that described the data involved two brain Aβ 40 sub-compartments, one with a rapid turnover, from which CSF Aβ 40 is derived, and a second quasi-static pool of ~20%. Importantly, the estimated in vivo brain IC₅₀ was in a good range of the in vitro IC₅₀ (ratio, 1.4). In conclusion, the PK/PD models presented here are well suited for describing the temporal changes in Aβ levels that occur after treatment with an Aβ lowering drug, and identifying physiological parameters.

摘要

抑制产生淀粉样蛋白β (Aβ) 肽的酶(BACE 和 γ-分泌酶)被认为是治疗阿尔茨海默病的有吸引力的靶点。然而,描述药物治疗后 Aβ 水平变化的最佳药代动力学-药效学建模方法尚不清楚。在这项研究中,采用周转模型来描述野生型大鼠中 γ-分泌酶抑制剂 RO5036450 治疗后 Aβ 水平的变化。最初,将大脑、脑脊液 (CSF) 和血浆中的 Aβ 水平变化建模为单独的生物隔室,这允许估计化合物 IC₅₀和 Aβ 周转率。虽然数据得到了很好的描述,但该模型没有考虑到 CSF 中的 Aβ 池很可能通过 CSF 引流途径源自大脑。因此,进行了单独的模型,假设 CSF Aβ 水平源自大脑。描述数据的最佳模型涉及两个大脑 Aβ 40 亚隔室,一个具有快速周转,CSF Aβ 40 由此产生,第二个是准静态池,约占 20%。重要的是,估计的体内大脑 IC₅₀与体外 IC₅₀(比值为 1.4)处于良好范围内。总之,这里提出的 PK/PD 模型非常适合描述 Aβ 降低药物治疗后 Aβ 水平的时间变化,并确定生理参数。

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