Literature DB >> 25147411

An Application of Berman's Work on Pool-Model Invariants in Analyzing Indistinguishable Models for Whole-Body Cholesterol Metabolism.

Rajasekhar Ramakrishnan1.   

Abstract

Berman and Schoenfeld used matrix transformations to study unidentifiable pool models. It is possible to use the method to examine if two models are output-indistinguishable, that is, if given the nature of tracer injections and observations, the two models have the same responses. The method is applied to two three-pool models for whole-body cholesterol metabolism. The indistinguishabilily of a mammillary model from a catenary model is proved using matrix transformations. The method is used in two ways, directly as well as after simplifying the problem. The two ways, as well as an analysis of the converse, help to show how the method is to be applied as well as the strengths and weaknesses of the method.

Entities:  

Year:  1984        PMID: 25147411      PMCID: PMC4137793          DOI: 10.1016/0025-5564(84)90119-6

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

1.  The formulation and testing of models.

Authors:  M BERMAN
Journal:  Ann N Y Acad Sci       Date:  1963-05-10       Impact factor: 5.691

2.  Studies of iodoalbumin metabolism. I. A mathematical approach to the kinetics.

Authors:  C G LEWALLEN; M BERMAN; J E RALL
Journal:  J Clin Invest       Date:  1959-01-01       Impact factor: 14.808

3.  Parameter and structural identifiability concepts and ambiguities: a critical review and analysis.

Authors:  C Cobelli; J J DiStefano
Journal:  Am J Physiol       Date:  1980-07

4.  Three-pool model of the long-term turnover of plasma cholesterol in man.

Authors:  D S Goodman; R P Noble; R B Dell
Journal:  J Lipid Res       Date:  1973-03       Impact factor: 5.922

  4 in total
  3 in total

Review 1.  Studying apolipoprotein turnover with stable isotope tracers: correct analysis is by modeling enrichments.

Authors:  Rajasekhar Ramakrishnan
Journal:  J Lipid Res       Date:  2006-09-01       Impact factor: 5.922

2.  A state space transformation can yield identifiable models for tracer kinetic studies with enrichment data.

Authors:  Rajasekhar Ramakrishnan; Janak D Ramakrishnan
Journal:  Bull Math Biol       Date:  2010-03-03       Impact factor: 1.758

3.  Using mass measurements in tracer studies--a systematic approach to efficient modeling.

Authors:  Rajasekhar Ramakrishnan; Janak D Ramakrishnan
Journal:  Metabolism       Date:  2008-08       Impact factor: 8.694

  3 in total

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