Combined in Vitro-in Silico Approach to Predict Deposition and Pharmacokinetics of Budesonide Dry Powder Inhalers

• Author(s) / Creator(s)

  • Ruzycki, C.A., Murphy, B., Nathoo, H., Finlay, W.H., and Martin, A.R.

• Purpose: A combined in vitro – in silico methodology was designed to estimate pharmacokinetics of budesonide delivered via dry powder inhaler.
  Methods: Particle size distributions from three budesonide DPIs, measured with a Next Generation Impactor and Alberta Idealized Throat, were input into a lung deposition model to predict regional deposition. Subsequent systemic exposure was estimated using a pharmacokinetic model that incorporated Nernst-Brunner dissolution in the conducting airways to predict the net influence of dissolution, mucociliary clearance, and absorption.
  Results: DPIs demonstrated significant in vitro differences in deposition, resulting in large differences in simulated regional deposition in the central conducting air-ways and the alveolar region. Similar but low deposition in the small conducting airways was observed with each DPI. Pharmacokinetic predictions showed good agreement with in vivo data from the literature. Peak systemic concentration was tied primarily to the alveolar dose, while the area under the curve was more dependent on the total lung dose. Tracheobronchial deposition was poorly correlated with pharmacokinetic data. Conclusions: Combination of realistic in vitro experiments, lung deposition modeling, and pharmacokinetic modeling was shown to provide reasonable estimation of in vivo systemic exposure from DPIs. Such combined approaches are useful in the development of orally in-haled drug products.

• Date created

  2023-01-01

• Subjects / Keywords

  • bioequivalence, budesonide dry powder inhalers, in vitro in vivo correlations, lung deposition modeling, pharmacokinetics

• Type of Item

  Article (Published)

• DOI

  https://doi.org/10.7939/r3-gema-fx09

• License

  https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11095-020-02924-7