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iBCS:2. 吸入药物肺部利用度的机制模型与关键产品属性。

iBCS: 2. Mechanistic Modeling of Pulmonary Availability of Inhaled Drugs versus Critical Product Attributes.

机构信息

Emmace Consulting AB, Medicon Village, Scheelevägen 2, Lund SE-223 81, Sweden.

Eisai, Woodcliff Lake, New Jersey 07677, United States.

出版信息

Mol Pharm. 2022 Jul 4;19(7):2040-2047. doi: 10.1021/acs.molpharmaceut.2c00112. Epub 2022 May 24.

Abstract

This work is the second in a series of publications outlining the fundamental principles and proposed design of a biopharmaceutics classifications system for inhaled drugs and drug products (the iBCS). Here, a mechanistic computer-based model has been used to explore the sensitivity of the primary biopharmaceutics functional output parameters: (i) pulmonary fraction dose absorbed () and (ii) drug half-life in lumen () to biopharmaceutics-relevant input attributes including dose number (Do) and effective permeability (). Results show the nonlinear sensitivity of primary functional outputs to variations in these attributes. Drugs with Do < 1 and > 1 × 10 cm/s show rapid ( < 20 min) and complete ( > 85%) absorption from lung lumen into lung tissue. At Do > 1, dissolution becomes a critical drug product attribute and becomes dependent on regional lung deposition. The input attributes used here, Do and , thus enabled the classification of inhaled drugs into parameter spaces with distinctly different biopharmaceutic risks. The implications of these findings with respect to the design of an inhalation-based biopharmaceutics classification system (iBCS) and to the need for experimental methodologies to classify drugs need to be further explored.

摘要

本研究是阐明吸入制剂和药物的生物药剂学分类系统(iBCS)基本原理和设计方案的系列出版物中的第二篇。本文采用基于机制的计算机模型,探索了主要的生物药剂学功能输出参数的敏感性:(i)肺部分数剂量吸收()和(ii)管腔中药物半衰期()对生物药剂学相关输入属性的影响,包括剂量数(Do)和有效渗透率()。结果表明,主要功能输出对这些属性的变化呈非线性敏感性。对于剂量数(Do)<1 和有效渗透率()>1×10 cm/s 的药物,从肺部管腔到肺部组织的吸收速度快(<20 分钟)且完全(>85%)。当 Do>1 时,溶解成为药物产品的关键属性,并且取决于肺部沉积的区域性。此处使用的输入属性,即剂量数(Do)和有效渗透率(),能够将吸入药物分类到具有明显不同生物药剂学风险的参数空间中。这些发现对于吸入制剂生物药剂学分类系统(iBCS)的设计以及需要分类药物的实验方法学的意义需要进一步探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b411/9257747/17a98f8bb49a/mp2c00112_0002.jpg

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