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模拟气道疾病及受影响的气流分布对气溶胶沉积的影响。

The effects of simulated airway diseases and affected flow distributions on aerosol deposition.

机构信息

Biomedical Research Institute Mondor (Institut National de la Santé et de la Recherche Médicale (INSERM), Unité Mixte de Recherche (UMR 955), Department of Cell and Respiratory Biomechanics, School of Medicine, 3rd floor, Office 3060, 8 Rue du Général Sarrail, Créteil 94010, France.

出版信息

Respir Care. 2010 Jun;55(6):707-18.

Abstract

BACKGROUND

Experimental and theoretical aspects of targeted drug delivery have been addressed several times in this journal. Herein, a computational study of particle deposition patterns within healthy and diseased lungs has been performed, using a validated aerosol dosimetry model and a flow-resistance model.

OBJECTIVE

To evaluate to what extent the uneven flow distributions produced by the physical manifestations of respiratory diseases affect the deposition patterns of inhaled aerosolized drugs.

METHODS

Diseases were simulated by constrictions and blockages, which caused uneven flow distributions. Respiratory conditions of sedentary and pronounced activities, and of particle sizes ranging from 0.1 microm to 10 microm, were used as the basis for the calculated deposition patterns.

RESULTS

Findings are presented that describe flow as a function of airway disease state (eg, flow redistribution). Data on the effects of lung morphologies, healthy and diseased, on compartmental (tracheobronchial and pulmonary) and local (airway generation) aerosol deposition are also given. By formulating these related factors, modeling results show that aerosolized drugs can be effectively targeted to appropriate sites within lungs to elicit positive therapeutic effects.

CONCLUSIONS

We have addressed the complexities involved when taking into account interactive effects between diseased airway morphologies and redistributed air flows on the transport and deposition of inhaled particles. Our results demonstrate that respiratory diseases may influence the deposition of inhaled drugs used in their treatment in a systematic and predictable manner. We submit this work as a first step in establishing the use of mathematical modeling techniques as a sound scientific basis to relate airway diseases and aerosolized drug delivery protocols.

摘要

背景

本杂志曾多次探讨靶向药物输送的实验和理论方面。在此,我们使用经过验证的气溶胶剂量模型和气流阻力模型,对健康和患病肺部内颗粒沉积模式进行了计算研究。

目的

评估呼吸疾病的物理表现所导致的不均匀气流分布在多大程度上影响吸入气溶胶药物的沉积模式。

方法

通过收缩和阻塞来模拟疾病,这些会导致气流分布不均匀。使用静息和剧烈活动以及粒径范围为 0.1 微米至 10 微米的呼吸条件作为计算沉积模式的基础。

结果

我们提出了气流作为气道疾病状态(例如,气流再分配)的函数的发现。还提供了有关健康和患病肺部形态对气管支气管和肺(局部)气溶胶沉积的隔室(局部)和局部(气道产生)气溶胶沉积的影响的数据。通过制定这些相关因素,模型结果表明,可以将气溶胶化药物有效地靶向肺部的适当部位,以产生积极的治疗效果。

结论

我们已经解决了在考虑气道疾病形态和再分配气流对吸入颗粒的传输和沉积的相互作用时所涉及的复杂性。我们的结果表明,呼吸疾病可能以系统和可预测的方式影响用于治疗的吸入药物的沉积。我们提交这项工作作为将数学建模技术作为将气道疾病与气溶胶化药物输送方案联系起来的合理科学依据的第一步。

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