Literature DB >> 12084013

Elasticity analysis and design for large metabolic responses produced by changes in enzyme activities.

Fernando Ortega1, Luis Acerenza.   

Abstract

Metabolic control analysis has been extensively used to describe how the sensitivity properties of the component enzymes in a metabolic pathway (represented by the elasticity coefficients) determine the way in which metabolic variables respond (described by the control coefficients). Similarly, metabolic control design addresses the inverse problem of obtaining the sensitivity properties of the component enzymes that are required for the system to show a pre-established pattern of responses. These formalisms, including what is called elasticity analysis and design, were developed for small, strictly speaking infinitesimal, changes. Here we extend them to large metabolic responses. The new approach can be applied to simple two-step pathways or to any arbitrary metabolic system divided into two groups linked by one intermediate. General expressions that relate control and elasticity coefficients for large changes are derived. Concentration and flux connectivity relationships are obtained. The relationships for large changes indicate that the pattern of responses is not necessarily the same as the one obtained with the traditional infinitesimal approach, in some cases the patterns being qualitatively different. The general analysis is used to study the control of ketogenesis in rat liver mitochondria, starting from data available in the literature. The control profile of the pathway subject to large changes shows both quantitative and qualitative differences from the one obtained from an analysis that is performed with infinitesimal coefficients. This exemplifies the type of errors that may be introduced when drawing conclusions about large metabolic responses from results obtained with an infinitesimal treatment.

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Year:  2002        PMID: 12084013      PMCID: PMC1222858          DOI: 10.1042/BJ20020520

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  34 in total

Review 1.  Use of implicit methods from general sensitivity theory to develop a systematic approach to metabolic control. II. Complex systems.

Authors:  M Cascante; R Franco; E I Canela
Journal:  Math Biosci       Date:  1989-06       Impact factor: 2.144

Review 2.  Use of implicit methods from general sensitivity theory to develop a systematic approach to metabolic control. I. Unbranched pathways.

Authors:  M Cascante; R Franco; E I Canela
Journal:  Math Biosci       Date:  1989-06       Impact factor: 2.144

Review 3.  Quantitative assessment of regulation in metabolic systems.

Authors:  J H Hofmeyr; A Cornish-Bowden
Journal:  Eur J Biochem       Date:  1991-08-15

4.  Enzyme kinetics and metabolic control. A method to test and quantify the effect of enzymic properties on metabolic variables.

Authors:  L Acerenza; H Kacser
Journal:  Biochem J       Date:  1990-08-01       Impact factor: 3.857

Review 5.  Enzyme-enzyme interactions and control analysis. 2. The case of non-independence: heterologous associations.

Authors:  H M Sauro; H Kacser
Journal:  Eur J Biochem       Date:  1990-02-14

Review 6.  Enzyme-enzyme interactions and control analysis. 1. The case of non-additivity: monomer-oligomer associations.

Authors:  H Kacser; H M Sauro; L Acerenza
Journal:  Eur J Biochem       Date:  1990-02-14

7.  A 'top-down' approach to the determination of control coefficients in metabolic control theory.

Authors:  G C Brown; R P Hafner; M D Brand
Journal:  Eur J Biochem       Date:  1990-03-10

8.  A top-down control analysis in isolated rat liver mitochondria: can the 3-hydroxy-3-methylglutaryl-CoA pathway be rate-controlling for ketogenesis?

Authors:  P A Quant; D Robin; P Robin; J Girard; M D Brand
Journal:  Biochim Biophys Acta       Date:  1993-02-13

9.  Getting to the inside of cells using metabolic control analysis.

Authors:  H V Westerhoff; J H Hofmeyr; B N Kholodenko
Journal:  Biophys Chem       Date:  1994-06       Impact factor: 2.352

10.  How do enzyme activities control metabolite concentrations? An additional theorem in the theory of metabolic control.

Authors:  H V Westerhoff; Y D Chen
Journal:  Eur J Biochem       Date:  1984-07-16
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