Suppr超能文献

为什么经剂量校正的不同给药途径曲线下面积可以大于静脉给药的原因解释。

An Explanation of Why Dose-Corrected Area Under the Curve for Alternate Administration Routes Can Be Greater than for Intravenous Dosing.

机构信息

Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA.

Department of Clinical Pharmacology and Therapeutics, School of Medicine, Oita University, 1-1 Idai gaoka, Hasama-machi, Yufu City, Oita, 879-5593, Japan.

出版信息

AAPS J. 2024 Jan 30;26(1):22. doi: 10.1208/s12248-024-00887-w.

Abstract

It is generally believed that bioavailability (F) calculated based on systemic concentration area under the curve (AUC) measurements cannot exceed 1.0, yet some published studies report this inconsistency. We teach and believe, based on differential equation derivations, that rate of absorption has no influence on measured systemic clearance following an oral dose, i.e., determined as available dose divided by AUC. Previously, it was thought that any difference in calculating F from urine data versus that from systemic concentration AUC data was due to the inability to accurately measure urine data. A PubMed literature search for drugs exhibiting F > 1.0 and studies for which F was measured using both AUC and urinary excretion dose-corrected analyses yielded data for 35 drugs. We show and explain, using Kirchhoff's Laws, that these universally held concepts concerning bioavailability may not be valid in all situations. Bioavailability, determined using systemic concentration measurements, for many drugs may be overestimated since AUC reflects not only systemic elimination but also absorption rate characteristics, which is most easily seen for renal clearance measures. Clearance of drug from the absorption site must be significantly greater than clearance following an iv bolus dose for F(AUC) to correctly correspond with F(urine). The primary purpose of this paper is to demonstrate that studies resulting in F > 1.0 and/or greater systemic vs urine bioavailability predictions may be accurate. Importantly, these explications have no significant impact on current regulatory guidance for bioequivalence testing, nor on the use of exposure (AUC) measures in making drug dosing decisions.

摘要

人们普遍认为,基于系统浓度曲线下面积(AUC)测量计算的生物利用度(F)不能超过 1.0,但有些已发表的研究报告显示存在这种不一致性。我们基于微分方程推导的教学和理解是,口服剂量后,吸收速率对系统清除率的测量没有影响,即通过可用剂量除以 AUC 确定。以前,人们认为从尿液数据计算 F 与从系统浓度 AUC 数据计算 F 的差异是由于无法准确测量尿液数据。在 PubMed 上对生物利用度超过 1.0 的药物进行文献检索,并对使用 AUC 和尿液排泄剂量校正分析测量 F 的研究进行检索,得到了 35 种药物的数据。我们使用基尔霍夫定律展示和解释说,这些普遍存在的关于生物利用度的概念在所有情况下可能都不成立。使用系统浓度测量确定的生物利用度,对于许多药物可能被高估,因为 AUC 不仅反映了系统消除,还反映了吸收速率特征,这在肾清除率测量中最为明显。从吸收部位清除药物的速率必须明显大于静脉推注剂量后的清除速率,以便 F(AUC)与 F(尿液)正确对应。本文的主要目的是证明导致 F>1.0 和/或更高的系统与尿液生物利用度预测的研究可能是准确的。重要的是,这些解释对生物等效性测试的现行监管指南以及在药物剂量决策中使用暴露(AUC)测量没有重大影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验