Literature DB >> 2872885

Quantification of the importance of individual steps in the control of aromatic amino acid metabolism.

M Salter, R G Knowles, C I Pogson.   

Abstract

The quantitative importance of the individual steps of aromatic amino acid metabolism in rat liver was determined by calculation of the respective Control Coefficients (Strengths). The Control Coefficient of tryptophan 2,3-dioxygenase for tryptophan degradation was determined in a variety of physiological conditions and with a range of activities of tryptophan 2,3-dioxygenase. The Control Coefficient varied from 0.75 with basal enzyme activity to 0.25 after maximal induction of the enzyme by dexamethasone. The remainder of the control for tryptophan degradation was associated with the transport of the amino acid across the plasma membrane, with only very small contributions from kynureninase and kynurenine hydroxylase. The Control Coefficients of tyrosine aminotransferase for tyrosine degradation were approx. 0.70 and 0.20 with basal and dexamethasone-induced tyrosine aminotransferase activities respectively; the Control Coefficients of the transport of the amino acid into the cell were 0.22 and 0.58 respectively. Phenylalanine hydroxylase was found to have a Control Coefficient for the degradation of phenylalanine of approx. 0.50 under conditions of basal enzyme activity; after maximal activation by glucagon, the Control Coefficient decreased to 0.12. The transport of phenylalanine was responsible for the remaining control in the pathway. These results have important implications, directly for the regulation of aromatic amino acid metabolism in the liver, and indirectly for the regulation of neuroamine synthesis in the brain.

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Year:  1986        PMID: 2872885      PMCID: PMC1146619          DOI: 10.1042/bj2340635

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


  52 in total

1.  Phenylalanine hydroxylase: metabolic aspects.

Authors:  C I Pogson; M A Santana; M J Fisher
Journal:  Biochem Soc Trans       Date:  1985-04       Impact factor: 5.407

2.  A linear steady-state treatment of enzymatic chains. General properties, control and effector strength.

Authors:  R Heinrich; T A Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

3.  Brain serotonin content: physiological regulation by plasma neutral amino acids.

Authors:  J D Fernstrom; R J Wurtman
Journal:  Science       Date:  1972-10-27       Impact factor: 47.728

4.  Circadian oscillation in rat liver tryptophan pyrrolase and its analysis by substrate and hormone induction.

Authors:  R Hardeland; L Rensing
Journal:  Nature       Date:  1968-08-10       Impact factor: 49.962

5.  The role of dietary protein in generating daily rhythms in rat liver tryptophan pyrrolase and tyrosine transaminase.

Authors:  D S Ross; J D Fernstrom; R J Wurtman
Journal:  Metabolism       Date:  1973-09       Impact factor: 8.694

6.  The control of flux.

Authors:  H Kacser; J A Burns
Journal:  Symp Soc Exp Biol       Date:  1973

7.  Assay, properties and tissue distribution of p-hydroxyphenylpyruvate hydroxylase.

Authors:  J H Fellman; T S Fujita; E S Roth
Journal:  Biochim Biophys Acta       Date:  1972-09-19

8.  Resolution of DL-tryptophan by affinity chromatography on bovine-serum albumin-agarose columns.

Authors:  K K Stewart; R F Doherty
Journal:  Proc Natl Acad Sci U S A       Date:  1973-10       Impact factor: 11.205

9.  Brain serotonin content: physiological dependence on plasma tryptophan levels.

Authors:  J D Fernstrom; R J Wurtman
Journal:  Science       Date:  1971-07-09       Impact factor: 47.728

10.  Brain catechol synthesis: control by train tyrosine concentration.

Authors:  R J Wurtman; F Larin; S Mostafapour; J D Fernstrom
Journal:  Science       Date:  1974-07-12       Impact factor: 47.728

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  32 in total

1.  A strategy for increasing an in vivo flux by genetic manipulations. The tryptophan system of yeast.

Authors:  P Niederberger; R Prasad; G Miozzari; H Kacser
Journal:  Biochem J       Date:  1992-10-15       Impact factor: 3.857

2.  Control analysis of rat liver glycolysis under different glucose concentrations. The substrate approach and the role of glucokinase.

Authors:  E Meléndez-Hevia; F Mateo; N V Torres
Journal:  Mol Cell Biochem       Date:  1992-09-22       Impact factor: 3.396

Review 3.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

4.  Detailed protocol and critical view for the analysis of control in metabolic systems by shortening and enzyme titration.

Authors:  N V Torres; E Meléndez-Hevia
Journal:  Mol Cell Biochem       Date:  1991-02-27       Impact factor: 3.396

5.  Evolution of a single gene highlights the complexity underlying molecular descriptions of fitness.

Authors:  Matthew I Peña; Elizabeth Van Itallie; Matthew R Bennett; Yousif Shamoo
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

6.  Switch between life history strategies due to changes in glycolytic enzyme gene dosage in Saccharomyces cerevisiae.

Authors:  Shaoxiao Wang; Aymé Spor; Thibault Nidelet; Pierre Montalent; Christine Dillmann; Dominique de Vienne; Delphine Sicard
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

7.  Determination of Flux Control Coefficients from transient metabolite concentrations.

Authors:  J Delgado; J C Liao
Journal:  Biochem J       Date:  1992-03-15       Impact factor: 3.857

8.  Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data.

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Journal:  J Biol Chem       Date:  2013-10-15       Impact factor: 5.157

9.  The control of 5-hydroxytryptamine and dopamine synthesis in the brain: a theoretical approach.

Authors:  F A Hommes; J S Lee
Journal:  J Inherit Metab Dis       Date:  1990       Impact factor: 4.982

Review 10.  What we know that could influence future treatment of phenylketonuria.

Authors:  C N Sarkissian; A Gámez; C R Scriver
Journal:  J Inherit Metab Dis       Date:  2008-08-03       Impact factor: 4.982

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