Sbirlea-Apiou Gabriela, Lemaire Marc, Katz Ira, Conway Joy, Fleming John, Martonen Ted
Research and Development, Claude-Delorme Research Center, Air Liquide, 78354 Jouy-en-Josas, France.
J Pharm Sci. 2004 May;93(5):1205-16. doi: 10.1002/jps.20029.
Asthma presents serious medical problems of global proportions. Clinical data suggest that the disease occurs preferentially at regions designated by large (0 </= I </= 5), central (6 </= I </= 11), and small (12 </= I </= 16) airways, where I defines branching generations within lungs. Our straightforward hypothesis, therefore, was that the efficacies of pharmacologic drugs proposed for the treatment and prophylaxis of asthma would be enhanced via their targeted delivery to appropriate sites. Hence, we have developed a mathematical model describing the behavior and fate of inhaled aerosols. Original algorithms have been derived to detail the physical manifestation of asthma as distinct components of smooth muscle constriction and inflammation. We have conducted a systematic analysis of the relative effects of morphology, ventilation, and particle size on aerosol deposition. Different intensities of asthma were simulated by reducing airway diameters by prescribed amounts. To show the real clinical applications of modeling, we have also simulated the performance of a popular nebulizer. Regarding therapeutic implications, it is clear that disease-induced changes in airway morphologies have pronounced effects on the administration of inhaled drugs. Likewise, ventilation affects both the total aerosol mass deposited and its relative spatial distribution among airways. By formulating these effects, the computer code allows drugs (e.g., bronchodilators for constriction, steroids for inflammation) to be selectively deposited. We suggest, therefore, that the code can be used in a complementary manner with clinical studies and can be integrated into aerosol therapy regimens.
哮喘是一个具有全球影响的严重医学问题。临床数据表明,该疾病优先发生在由大(0≤I≤5)、中(6≤I≤11)和小(12≤I≤16)气道所界定的区域,其中I表示肺内的分支代数。因此,我们简单的假设是,用于治疗和预防哮喘的药物若能靶向递送至合适部位,其疗效将会提高。为此,我们建立了一个描述吸入气雾剂行为和归宿的数学模型。已推导了原始算法来详细说明哮喘的物理表现,即平滑肌收缩和炎症的不同组成部分。我们对形态、通气和颗粒大小对气雾剂沉积的相对影响进行了系统分析。通过按规定量减小气道直径来模拟不同强度的哮喘。为了展示建模的实际临床应用,我们还模拟了一种常用雾化器的性能。关于治疗意义,很明显疾病引起的气道形态变化对吸入药物的给药有显著影响。同样,通气既影响沉积的气雾剂总量,也影响其在气道间的相对空间分布。通过阐述这些影响,计算机代码可使药物(如用于收缩的支气管扩张剂、用于炎症的类固醇)选择性沉积。因此,我们认为该代码可与临床研究互补使用,并可整合到气雾剂治疗方案中。