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一种用于预测健康人体中药物肠肝再循环的连续肠道吸收模型:纳布啡作为模型底物。

A Continuous Intestinal Absorption Model to Predict Drug Enterohepatic Recirculation in Healthy Humans: Nalbuphine as a Model Substrate.

机构信息

Department of Pharmaceutical Sciences, Temple University School of Pharmacy, 3307 N Broad Street, Philadelphia, Pennsylvania 19140, United States.

Trevi Therapeutics, 195 Church Street 16th Floor, New Haven, Connecticut 06510, United States.

出版信息

Mol Pharm. 2024 Sep 2;21(9):4510-4523. doi: 10.1021/acs.molpharmaceut.4c00424. Epub 2024 Jul 2.

Abstract

Nalbuphine (NAL) is a κ-agonist/μ-antagonist opioid being developed as an oral extended formulation (ER) for the treatment of chronic cough in idiopathic pulmonary fibrosis and itch in prurigo nodularis. NAL is extensively glucuronidated and likely undergoes enterohepatic recirculation (EHR). The purpose of this work is to develop pharmacokinetic models for NAL absorption and enterohepatic recirculation (EHR). Clinical pharmacokinetic (PK) data sets in healthy subjects from three trials that included IV, oral solution, and ER tablets in fed and fasted state and two published trials were used to parametrize a novel partial differential equation (PDE)-based model, termed "PDE-EHR" model. Experimental inputs included in vitro dissolution and permeability data. The model incorporates a continuous intestinal absorption framework, explicit liver and gall bladder compartments, and compartments for systemic drug disposition. The model was fully PDE-based with well-stirred compartments achieved by rapid diffusion. The PDE-EHR model accurately reproduces NAL concentration-time profiles for all clinical data sets. NAL disposition simulations required inclusion of both parent and glucuronide recirculation. Inclusion of intestinal P-glycoprotein efflux in the simulations suggests that NAL is not expected to be a victim or perpetrator of P-glycoprotein-mediated drug interactions. The PDE-EHR model is a novel tool to predict EHR and food/formulation effects on drug PK. The results strongly suggest that even intravenous dosing studies be conducted in fasted subjects when EHR is suspected. The modeling effort is expected to aid in improved prediction of dosing regimens and drug disposition in patient populations.

摘要

纳布啡(NAL)是一种κ-激动剂/μ-拮抗剂阿片类药物,正在开发为一种口服延长制剂(ER),用于治疗特发性肺纤维化的慢性咳嗽和结节性痒疹的瘙痒。NAL 广泛地发生葡萄糖醛酸化,可能经历肠肝再循环(EHR)。这项工作的目的是开发 NAL 吸收和肠肝再循环(EHR)的药代动力学模型。使用来自三项试验的健康受试者的临床药代动力学(PK)数据集,这些试验包括 IV、口服溶液和 ER 片剂在进食和禁食状态下,以及两项已发表的试验,以参数化一种新的偏微分方程(PDE)-基于模型,称为“PDE-EHR”模型。实验输入包括体外溶解和渗透数据。该模型包含连续的肠道吸收框架、明确的肝脏和胆囊隔室以及用于全身药物处置的隔室。该模型完全基于 PDE,通过快速扩散实现了充分搅拌的隔室。PDE-EHR 模型准确地再现了所有临床数据集的 NAL 浓度-时间曲线。NAL 处置模拟需要包括母体和葡萄糖醛酸苷再循环。在模拟中纳入肠 P-糖蛋白外排表明,NAL 预计不会成为 P-糖蛋白介导的药物相互作用的受害者或肇事者。PDE-EHR 模型是一种预测 EHR 和食物/制剂对药物 PK 影响的新工具。结果强烈表明,即使怀疑存在 EHR,也应在禁食受试者中进行静脉内给药研究。该建模工作有望有助于改善对患者人群中给药方案和药物处置的预测。

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