Publication | Open Access
iBCS: 2. Mechanistic Modeling of Pulmonary Availability of Inhaled Drugs versus Critical Product Attributes
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Citations
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2022
Year
This work is the second in a series of publications outlining the fundamental principles and proposed design of a biopharmaceutics classifications system for inhaled drugs and drug products (the iBCS). Here, a mechanistic computer-based model has been used to explore the sensitivity of the primary biopharmaceutics functional output parameters: (i) pulmonary fraction dose absorbed (<i>F</i><sub>abs</sub>) and (ii) drug half-life in lumen (<i>t</i><sub>1/2</sub>) to biopharmaceutics-relevant input attributes including dose number (Do) and effective permeability (<i>P</i><sub>eff</sub>). Results show the nonlinear sensitivity of primary functional outputs to variations in these attributes. Drugs with Do < 1 and <i>P</i><sub>eff</sub> > 1 × 10<sup>-6</sup> cm/s show rapid (<i>t</i><sub>1/2</sub> < 20 min) and complete (<i>F</i><sub>abs</sub> > 85%) absorption from lung lumen into lung tissue. At Do > 1, dissolution becomes a critical drug product attribute and <i>F</i><sub>abs</sub> becomes dependent on regional lung deposition. The input attributes used here, Do and <i>P</i><sub>eff</sub>, thus enabled the classification of inhaled drugs into parameter spaces with distinctly different biopharmaceutic risks. The implications of these findings with respect to the design of an inhalation-based biopharmaceutics classification system (iBCS) and to the need for experimental methodologies to classify drugs need to be further explored.
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