For respiratory conditions, targeted
drug delivery to the lungs
could produce higher local concentrations with reduced risk of adverse
events compared to systemic administration. Despite the increasing
interest in pulmonary delivery, the pharmacokinetics (PK) of drugs
following pulmonary administration remains to be elucidated. In this
context, the application of modeling and simulation methodologies
to characterize PK properties of compounds following pulmonary administration
remains a scarcity.
Pseudomonas aeruginosa
(PA) lung infections are resistant to many of the current antibiotic
therapies. Targeted treatments for pulmonary delivery could be particularly
beneficial for these local conditions. In this study, we report the
application of biopharmaceutical pharmacometrics (BPMX) for the analysis
of PK data from three investigational antimicrobial agents following
pulmonary administration of a suspension formulation. The observed
drug concentration–time profiles in lungs and plasma of the
compound series were combined for simultaneous analysis and modeling.
The developed model describes the PK data, taking into account formulation
properties, and provides a mechanism to predict dissolved drug concentrations
in the lungs available for activity. The model was then used to evaluate
formulation effects and the impact of variability on total and dissolved
drug concentrations in lungs and plasma. The predictions suggest that
these therapies for lung delivery should ideally be delivered in a
sustained release formulation with high solubility for maximum local
exposure in lungs for efficacy, with rapid systemic clearance in plasma
for reduced risk of unwanted systemic adverse effects. This work shows
the potential benefits of BPMX and the role it can play to support
drug discovery and development in pulmonary delivery.