Literature DB >> 9252531

Models for the regulation of purine metabolism in rat hepatocytes: evaluation of tracer kinetic experiments.

A Schwendel1, T Grune, H G Holzhütter, W G Siems.   

Abstract

Metabolic pathways are characterized by numerous regulatory mechanisms. Their study calls for the determination of the metabolite concentrations as well as the flux rates. Corresponding experiments using purified enzymes and an artificial environment frequently yield results that differ from findings for in vivo systems. To be more realistic, the tracer kinetic experiments presented here involved intact isolated hepatocytes. It is necessary to establish mathematical models to deduce the flux rates. With the presumption of metabolic steady-state conditions, the flux rates are determined by a possibly stiff system of linear differential equations. For the first time, the flux rate determination in the purine metabolism of rat hepatocytes was accomplished by applying a combination of a nonlinear least-square fit and a numerical integration. Because of the complexity of this pathway, it was necessary to use three different tracers requiring three partial models. By ensuring their compatibility and using a fit of high statistical quality, the experimental situation could be described adequately. Our flux rate analysis confirmed earlier experimental findings and also allows much more insight into the regulatory mechanisms of the metabolism studied.

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Year:  1997        PMID: 9252531     DOI: 10.1152/ajpgi.1997.273.1.G239

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  2 in total

1.  Mechanism of de novo initiation by the hepatitis C virus RNA-dependent RNA polymerase: role of divalent metals.

Authors:  C T Ranjith-Kumar; Young-Chan Kim; Les Gutshall; Carol Silverman; Sanjay Khandekar; Robert T Sarisky; C Cheng Kao
Journal:  J Virol       Date:  2002-12       Impact factor: 5.103

2.  Rat liver folate metabolism can provide an independent functioning of associated metabolic pathways.

Authors:  Aleksandr V Zaitsev; Michael V Martinov; Victor M Vitvitsky; Fazoil I Ataullakhanov
Journal:  Sci Rep       Date:  2019-05-21       Impact factor: 4.379

  2 in total

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