Subject-specific whole-lung CFPD coupled with PBPK/PD to predict inhaled bronchodilator response in asthmatic and healthy subjects

Accurate prediction of bronchodilator performance remains challenging. We present a coupled computational fluid and particle dynamics (CFPD) and physiologically-based pharmacokinetic /pharmacodynamics (PBPK/PD) framework that leverages subject-specific CT-derived airway trees and airflow distributions to model regional lung exposure and the resulting clinical effect, quantified as the change in Forced Expiratory Volume in 1 second (ΔFEV 1 ). Data from six asthmatic and ten healthy subjects were analyzed. CFPD simulations predicted subject-specific airflow and drug deposition by airway generation for inhalation of 400 μg albuterol using a metered dose inhaler (MDI) and a dry powder inhaler (DPI). The deposited dose was input into the PBPK model at the epithelial lining fluid (ELF) to predict drug concentrations in plasma and tissues. The PD model predicted ΔFEV 1 at the subepithelium effect-site. Two key observations emerged. First, MDI use shifted the inhaled dose toward the respiratory region, whereas DPI delivery resulted in greater deposition in generations G2-G5. Second, asthmatic subjects exhibited higher resistance than healthy subjects in generations G5-G10, resulting in larger ΔFEV 1 . Fitted PD model parameters, yielded a half-maximal effective concentration (EC 50 =1.1±0.07 nM) and Hill slope (n =1.6±0.1), with R 2 = 0.98. In summary, we developed a subject-specific coupled CFPD-PBPK/PD framework to predict inhaled albuterol exposure in plasma and ELF, as well as the resulting ΔFEV 1 clinical response. This approach has the potential to inform inhaler selection, optimize dosing strategies, and enable disease-specific inhalational therapies. The present study was limited to male subjects, and future work should extend the framework to include sex-specific physiological differences. • Albuterol transport and deposition were simulated in imaging-based subject-specific asthmatic and healthy airways. • Plasma and subepithelial albuterol concentrations were predicted across subject cohorts. • MDI shifts dose to the respiratory zone, whereas DPI deposits more in proximal conducting airways. • Subepithelial effect-site concentrations in generations G5-G10 closely matched observed ΔFEV 1 .

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Publication Details

Journal
Journal of Aerosol Science
Published
2026-03-24
DOI
https://doi.org/10.1016/j.jaerosci.2026.106784
Primary Topic
Inhalation and Respiratory Drug Delivery
Type
article
Field-Weighted Citation Impact
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article

Subject-specific whole-lung CFPD coupled with PBPK/PD to predict inhaled bronchodilator response in asthmatic and healthy subjects

Xuan Zhang, Eric A. Hoffman, Prathish K. Rajaraman, Ching-Long Lin et al.
Journal of Aerosol Science
Inhalation and Respiratory Drug Delivery
article

Subject-specific whole-lung CFPD coupled with PBPK/PD to predict inhaled bronchodilator response in asthmatic and healthy subjects

Xuan Zhang, Eric A. Hoffman, Prathish K. Rajaraman, Ching-Long Lin, Alejandro P. Comellas
article en

Abstract

Accurate prediction of bronchodilator performance remains challenging. We present a coupled computational fluid and particle dynamics (CFPD) and physiologically-based pharmacokinetic /pharmacodynamics (PBPK/PD) framework that leverages subject-specific CT-derived airway trees and airflow distributions to model regional lung exposure and the resulting clinical effect, quantified as the change in Forced Expiratory Volume in 1 second (ΔFEV 1 ). Data from six asthmatic and ten healthy subjects were analyzed. CFPD simulations predicted subject-specific airflow and drug deposition by airway generation for inhalation of 400 μg albuterol using a metered dose inhaler (MDI) and a dry powder inhaler (DPI). The deposited dose was input into the PBPK model at the epithelial lining fluid (ELF) to predict drug concentrations in plasma and tissues. The PD model predicted ΔFEV 1 at the subepithelium effect-site. Two key observations emerged. First, MDI use shifted the inhaled dose toward the respiratory region, whereas DPI delivery resulted in greater deposition in generations G2-G5. Second, asthmatic subjects exhibited higher resistance than healthy subjects in generations G5-G10, resulting in larger ΔFEV 1 . Fitted PD model parameters, yielded a half-maximal effective concentration (EC 50 =1.1±0.07 nM) and Hill slope (n =1.6±0.1), with R 2 = 0.98. In summary, we developed a subject-specific coupled CFPD-PBPK/PD framework to predict inhaled albuterol exposure in plasma and ELF, as well as the resulting ΔFEV 1 clinical response. This approach has the potential to inform inhaler selection, optimize dosing strategies, and enable disease-specific inhalational therapies. The present study was limited to male subjects, and future work should extend the framework to include sex-specific physiological differences. • Albuterol transport and deposition were simulated in imaging-based subject-specific asthmatic and healthy airways. • Plasma and subepithelial albuterol concentrations were predicted across subject cohorts. • MDI shifts dose to the respiratory zone, whereas DPI deposits more in proximal conducting airways. • Subepithelial effect-site concentrations in generations G5-G10 closely matched observed ΔFEV 1 .

Journal of Aerosol ScienceVol. 194
University of Iowa (US)
Zero hunger
Openalex Percentile: Top 12%
Inhalation and Respiratory Drug Delivery
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