• DocumentCode
    958318
  • Title

    A minimal input-output configuration for a priori identifiability of a compartmental model of leucine metabolism

  • Author

    Saccomani, Maria Pia ; Cobelli, Claudio

  • Author_Institution
    Dept. of Electron. & Inf., Padova Univ., Italy
  • Volume
    40
  • Issue
    8
  • fYear
    1993
  • Firstpage
    797
  • Lastpage
    803
  • Abstract
    To develop a model describing the structure and function of a metabolic system using data from an input-output experiment, it is useful to design a pilot tracer study first which contains a predicted maximal amount of information. Having postulated a physiologically reasonable model structure from the pilot data, two questions arise, first, whether the model parameters are a priori uniquely identifiable, and if so, whether the pilot experiment is a minimal one. The purpose of the present study is to determine a minimal input-output configuration for the a priori unique identifiability of a compartmental model describing the metabolism of leucine, an essential amino acid. The original pilot tracer experiment was a two-stage experiment consisting first of a two-input-five-output experiment followed by a single-input-single-output experiment. It is shown that to guarantee a priori unique identifiability of the leucine model, the single-input-single-output experiment is not necessary, and that two of the outputs of the multi-input-multi-output experiment are not required.
  • Keywords
    identification; organic compounds; physiological models; a priori identifiability; compartmental model; essential amino acid; leucine metabolism; minimal input-output configuration; physiologically reasonable model structure; Amino acids; Biochemistry; Design for experiments; Informatics; Oxidation; Predictive models; Proteins; Bicarbonates; Humans; Leucine; Mathematics; Models, Biological; Pilot Projects;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.238464
  • Filename
    238464