Structural identifiability analyses of candidate models for in vitro Pitavastatin hepatic uptake

Comput Methods Programs Biomed. 2014 May;114(3):e60-9. doi: 10.1016/j.cmpb.2013.06.013. Epub 2013 Jul 17.

Abstract

In this paper a review of the application of four different techniques (a version of the similarity transformation approach for autonomous uncontrolled systems, a non-differential input/output observable normal form approach, the characteristic set differential algebra and a recent algebraic input/output relationship approach) to determine the structural identifiability of certain in vitro nonlinear pharmacokinetic models is provided. The Organic Anion Transporting Polypeptide (OATP) substrate, Pitavastatin, is used as a probe on freshly isolated animal and human hepatocytes. Candidate pharmacokinetic non-linear compartmental models have been derived to characterise the uptake process of Pitavastatin. As a prerequisite to parameter estimation, structural identifiability analyses are performed to establish that all unknown parameters can be identified from the experimental observations available.

Keywords: Compartmental models; Pitavastatin; Structural identifiability.

MeSH terms

  • Algorithms
  • Animals
  • Computer Simulation
  • Diffusion
  • Hepatocytes / drug effects
  • Humans
  • Kinetics
  • Liver / drug effects*
  • Models, Biological
  • Quinolines / pharmacokinetics*
  • Software

Substances

  • Quinolines
  • pitavastatin