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预测药物清除率和器官提取比中普遍未被认可的假设。

The Universally Unrecognized Assumption in Predicting Drug Clearance and Organ Extraction Ratio.

机构信息

Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, USA.

出版信息

Clin Pharmacol Ther. 2018 Mar;103(3):521-525. doi: 10.1002/cpt.802. Epub 2017 Sep 6.

Abstract

For almost a half-century clearance concepts have been utilized in pharmacokinetics to understand the relationship between the dose administered and the time course of systemic concentrations to predict efficacy and safety, as well as how dosing should be modified in disease states. Various models of organ clearance/elimination have been proposed and tested. Surprisingly, however, the theoretical basis for the appropriate data collection to test these models has never been evaluated. Here we show that in vivo data collection limitations and the extraction ratio concept itself are only consistent with the well-stirred model of hepatic elimination. Evaluating measures of drug concentrations entering and leaving an organ will appear to best fit the well-stirred model, since driving force concentrations within the organ of elimination cannot be measured.

摘要

近半个世纪以来,清除率概念一直被用于药代动力学,以了解给药剂量与全身浓度时间过程之间的关系,从而预测疗效和安全性,以及在疾病状态下应如何调整剂量。已经提出并测试了各种器官清除/消除模型。然而,令人惊讶的是,从未评估过适当的数据收集来测试这些模型的理论基础。在这里,我们表明,体内数据收集限制和提取比概念本身仅与肝消除的充分搅拌模型一致。评估进入和离开器官的药物浓度的措施似乎最符合充分搅拌模型,因为无法测量消除器官内的驱动力浓度。

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