In vitro-in vivo correlations of self-emulsifying drug delivery systems combining the dynamic lipolysis model and neuro-fuzzy networks

Dimitrios G. Fatouros, Flemming Seier Nielsen, Dionysios Douroumis, Leontios J. Hadjileontiadis, Anette Mullertz

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

The aim of the current study was to evaluate the potential of the dynamic lipolysis model to simulate the absorption of a poorly soluble model drug compound, probucol, from three lipid-based formulations and to predict the in vitro-in vivo correlation (IVIVC) using neuro-fuzzy networks. An oil solution and two self-micro and nano-emulsifying drug delivery systems were tested in the lipolysis model. The release of probucol to the aqueous (micellar) phase was monitored during the progress of lipolysis. These release profiles compared with plasma profiles obtained in a previous bioavailability study conducted in mini-pigs at the same conditions. The release rate and extent of release from the oil formulation were found to be significantly lower than from SMEDDS and SNEDDS. The rank order of probucol released (SMEDDS ∼ SNEDDS > oil formulation) was similar to the rank order of bioavailability from the in vivo study. The employed neuro-fuzzy model (AFM-IVIVC) achieved significantly high prediction ability for different data formations (correlation greater than 0.91 and prediction error close to zero), without employing complex configurations. These preliminary results suggest that the dynamic lipolysis model combined with the AFM-IVIVC can be a useful tool in the prediction of the in vivo behavior of lipid-based formulations.

Original languageBritish English
Pages (from-to)887-898
Number of pages12
JournalEuropean Journal of Pharmaceutics and Biopharmaceutics
Volume69
Issue number3
DOIs
StatePublished - Aug 2008

Keywords

  • In vitro dynamic lipolysis model
  • In vitro-in vivo correlations (IVIVC)
  • Mathematical modelling
  • Neuron-fuzzy networks
  • Self-emulsifying drug delivery systems

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