AI Article Synopsis

  • The study aimed to analyze how different dissolution conditions for ibuprofen affect its absorption in the body, using advanced simulation software called GastroPlus™.
  • Researchers used a z-factor approach to differentiate the dissolution profiles of ibuprofen in low- and high-buffered environments, predicting surface pH values to influence systemic exposure outcomes.
  • Results showed that slower ibuprofen dissolution in low-buffered conditions matched clinical findings, with future goals focusing on enhancing prediction of dissolution rates based on particle size for better validation in pharmacokinetic modeling.

Article Abstract

The present work aimed to differentiate between in vitro dissolution profiles of ibuprofen as input for GastroPlus™ and to see the impact on systemic exposure. In vitro dissolution profiles of ibuprofen obtained under low- and high-buffered dissolution media were used as input using the z-factor approach. In a second step, a customized surface pH calculator was applied to predict the surface pH of ibuprofen under these low- and high-buffered dissolution conditions. These surface pH values were adopted in GastroPlus™ and simulations were performed to predict the systemic outcome. Simulated data were compared with systemic data of ibuprofen obtained under fasted state conditions in healthy subjects. The slower dissolution rate observed when working under low-buffered conditions nicely matched with the slower dissolution rate as observed during the clinical aspiration study and was in line with the systemic exposure of the drug. Finally, a population simulation was performed to explore the impact of z-factor towards bioequivalence (BE) criteria (so-called safe space). Concerning future perspectives, the customized calculator should be developed in such a way to make it possible to predict the dissolution rate (being informed by the particle size distribution) which, in its turn, can be used as a surrogate to predict the USP2 dissolution curve. Subsequently, validation can be done by using this profile as input for PBPK platforms.

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Source
http://dx.doi.org/10.1208/s12248-021-00663-0DOI Listing

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