Mechanistic Physiologically Based Pharmacokinetic Modeling of Dry Powder and Nebulized Formulations of Orally Inhaled TMEM16A Potentiator GDC-6988.

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Rui Zhu, Ian Sorrell, Fang Ma, Miaoran Ning, Yoen-Ju Son, Gaohong She, Tom De Bruyn, Joshua Galanter, Nastya Kassir, Ryan Owen, Masoud Jamei, Iain Gardner, Yuan Chen
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Abstract

The orally inhaled route of administration for respiratory indications can maximize drug exposure to the site of action (lung) to increase efficacy while minimizing systemic exposure to achieve an improved safety profile. However, due to the difficulty of taking samples from different regions of the human lung, often only systemic pharmacokinetic (PK) samples are taken and assumed to be reflective of the lung PK of the compound, which may not always be the case. In this study, a mechanistic lung physiologically based pharmacokinetic (PBPK) model was built using a middle-out approach (i.e., combining elements of bottom-up prediction and using clinical data to inform some model parameters) to predict plasma and lung PK of an orally inhaled TMEM16A potentiator GDC-6988 in humans. The lung PBPK model accounted for lung deposition, lung and oral absorption, systemic clearance, and tissue distribution. The model was refined using data from a Phase 1b study with dry powder (DP) formulation and was also verified using data from a Phase 1 study with a nebulized (Neb) formulation. The refined model adequately captures the observed GDC-6988 plasma PK profiles in both the DP and Neb studies and allows prediction of the regional lung fluid and tissue concentrations. The sensitivity analyses showed that the systemic Cmax depended on the ratio of airway to alveolar deposition, but this did not impact the AUC. This novel mechanistic lung PBPK modeling framework could be applied to predict plasma and regional lung exposure and inform the early clinical development of inhaled molecules (e.g., dose selection).

口服吸入TMEM16A增强剂GDC-6988干粉和雾化制剂的机制生理药代动力学建模。
对于呼吸适应症,口服吸入给药途径可以最大限度地使药物暴露于作用部位(肺),以提高疗效,同时最大限度地减少全身暴露,以提高安全性。然而,由于很难从人体肺部的不同区域采集样本,通常只采集系统药代动力学(PK)样本,并假设其反映了化合物的肺部PK,但事实并非总是如此。本研究采用中出法(即结合自下而上的预测要素和利用临床数据告知部分模型参数)建立基于肺生理的机制药代动力学(PBPK)模型,预测人口服TMEM16A增强剂GDC-6988的血浆和肺PK。肺PBPK模型计算肺沉积、肺和口服吸收、全身清除和组织分布。该模型使用干粉(DP)配方1b期研究数据进行了改进,并使用雾化(Neb)配方的1期研究数据进行了验证。改进的模型充分捕获了DP和Neb研究中观察到的GDC-6988血浆PK谱,并可以预测区域肺液和组织浓度。敏感性分析显示,全身Cmax取决于气道与肺泡沉积的比例,但这并不影响AUC。这种新型的机制肺PBPK建模框架可用于预测血浆和局部肺暴露,并为吸入分子的早期临床发展提供信息(例如,剂量选择)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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