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肠内重吸收过程及其对药物药代动力学的影响。

Enteric reabsorption processes and their impact on drug pharmacokinetics.

机构信息

Department of Pharmaceutical Sciences, Faculty of Chemistry, Universidad de la República, P.O. Box 1157, 11800, Montevideo, Uruguay.

Pharmacometrics and Systems Pharmacology Research Unit, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.

出版信息

Sci Rep. 2021 Mar 11;11(1):5794. doi: 10.1038/s41598-021-85174-w.

Abstract

Enteric reabsorption occurs when a drug is secreted into the intestinal lumen and reabsorbed into the systemic circulation. This distribution process is evidenced by multiple peaks in pharmacokinetic profiles. Commonly, hepatobiliary drug secretion is assumed to be the underlying mechanism (enterohepatic reabsorption, EHR), neglecting other possible mechanisms such as gastric secretion (enterogastric reabsorption, EGR). In addition, the impact of drug reabsorption on systemic clearance, volume of distribution and bioavailability has been a subject of long-standing discussions. In this work, we propose semi-mechanistic pharmacokinetic models to reflect EHR and EGR and compare their respective impact on primary pharmacokinetic parameters. A simulation-based analysis was carried out considering three drug types with the potential for reabsorption, classified according to their primary route of elimination and their hepatic extraction: (A) hepatic metabolism-low extraction; (B) hepatic metabolism-intermediate/high extraction; (C) renal excretion. Results show that an increase in EHR can significantly reduce the clearance of drugs A and B, increase bioavailability of B drugs, and increase the volume of distribution for all drugs. Conversely, EGR had negligible impact in all pharmacokinetic parameters. Findings provide background to explain and forecast the role that this process can play in pharmacokinetic variability, including drug-drug interactions and disease states.

摘要

肠内重吸收发生在药物分泌到肠腔并被重新吸收到体循环中时。这种分布过程表现为药代动力学曲线的多个峰。通常,肝肠药物分泌被认为是潜在的机制(肠肝重吸收,EHR),而忽略了其他可能的机制,如胃分泌(肠胃重吸收,EGR)。此外,药物重吸收对全身清除率、分布容积和生物利用度的影响一直是长期讨论的主题。在这项工作中,我们提出了半机械的药代动力学模型来反映 EHR 和 EGR,并比较它们对主要药代动力学参数的各自影响。基于模拟的分析考虑了三种有重吸收潜力的药物类型,根据其主要消除途径和肝提取率进行分类:(A)肝代谢-低提取;(B)肝代谢-中/高提取;(C)肾排泄。结果表明,EHR 的增加可显著降低药物 A 和 B 的清除率,增加 B 药物的生物利用度,并增加所有药物的分布容积。相反,EGR 对所有药代动力学参数的影响可以忽略不计。研究结果为解释和预测该过程在药代动力学变异性中的作用提供了背景,包括药物相互作用和疾病状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4340/7952424/289b78fe5883/41598_2021_85174_Fig1_HTML.jpg

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