• Title of article

    Asymptotics and bioavailability in multicompartment pharmacokinetic models with enterohepatic circulation

  • Author/Authors

    Horkovics-Kovats، نويسنده , , Stefan and Zlato?، نويسنده , , Pavol، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    31
  • From page
    69
  • To page
    99
  • Abstract
    Analysing discrete as well as continuous linear autonomous pharmacokinetic models, it is shown that their asymptotic behaviour is independent of the rates of kinetic processes and timing of drug application. Consequently, for the description of pharmacokinetic endpoints, i.e. the total amounts of drug eliminated through different organs under various ways of administration, in such a model the knowledge of total amounts delivered to individual compartments and its transition probability matrix P=[pij] is sufficient. gn and analysis of a 9-compartment pharmacokinetic model with enterohepatic circulation (EHC), avoiding several common simplifications, test the applicability of our method. The central compartment of the model is the liver acting as filter and linking the systemic and enterohepatic circulation. it formulas are given for pharmacokinetic endpoints of the model using the elements of the transition probability matrix P. Conversely, the transition probabilities are determined in terms of certain measurable pharmacokinetic endpoints and the flow rates through the kidneys, liver and the cardiac output, contributing that way to the structural identifiability problem. As a further consequence, the bioavailability of the drug with and without EHC can be determined and the efficiency of EHC expressed as the ‘probability’ of the enterohepatic cycle. y, we apply our method to analyse and compare various pharmacokinetic models, describing the EHC of drugs, based on some previously published articles.
  • Keywords
    Bioavailability , Efficiency of enterohepatic circulation , Transition and elimination probabilities , identifiability
  • Journal title
    Mathematical Biosciences
  • Serial Year
    2003
  • Journal title
    Mathematical Biosciences
  • Record number

    1588725