Literature DB >> 2924774

Comparison of computer simulations of the F-type and L-type non-oxidative hexose monophosphate shunts with 31P-NMR experimental data from human erythrocytes.

L M McIntyre1, D R Thorburn, W A Bubb, P W Kuchel.   

Abstract

Mathematical modelling was used to predict the behaviour of the two most favoured schemes for the operation of the non-oxidative hexose monophosphate shunt (HMS), the F-type and the L-type pathways. The models simulate the time courses of sugar-phosphate concentrations when various substrates are metabolized via each pathway. A 31P-NMR technique, with which to observe time courses of concentrations of sugar phosphates in a human red cell lysate, was developed. The accuracy of each hypothesised scheme was then evaluated by comparing predicted with observed data. The results were more consistent with time courses of sugar-phosphate levels predicted by the F-type (classical) pathway than those predicted by the L-type model. However, the accumulation of sedoheptulose 1,7-bisphosphate when a haemolysate was incubated with ribose 5-phosphated showed that the F-type pathway is not a complete description of the system of reactions. Transaldolase was demonstrated to be essential for the normal metabolism of sugar phosphates by haemolysates. The effects of the heat-inactivation of transaldolase on the metabolism of sugar phosphates were accurately predicted by the F-type model. The relevance of attempting to describe the reaction of the non-oxidative HMS as a distinct 'pathway' or 'cycle' is discussed.

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Year:  1989        PMID: 2924774     DOI: 10.1111/j.1432-1033.1989.tb14662.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  18 in total

1.  Description and analysis of metabolic connectivity and dynamics in the human red blood cell.

Authors:  Kenneth J Kauffman; John David Pajerowski; Neema Jamshidi; Bernhard O Palsson; Jeremy S Edwards
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

2.  Activity and metabolic roles of the pentose phosphate cycle in several rat tissues.

Authors:  H Cabezas; R R Raposo; E Meléndez-Hevia
Journal:  Mol Cell Biochem       Date:  1999-11       Impact factor: 3.396

3.  Role of band 3 in regulating metabolic flux of red blood cells.

Authors:  Ian A Lewis; M Estela Campanella; John L Markley; Philip S Low
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-21       Impact factor: 11.205

Review 4.  Oxidative stress, inflammation and carcinogenesis are controlled through the pentose phosphate pathway by transaldolase.

Authors:  Andras Perl; Robert Hanczko; Tiffany Telarico; Zachary Oaks; Steve Landas
Journal:  Trends Mol Med       Date:  2011-03-02       Impact factor: 11.951

5.  From metabolomics to fluxomics: a computational procedure to translate metabolite profiles into metabolic fluxes.

Authors:  Sonia Cortassa; Viviane Caceres; Lauren N Bell; Brian O'Rourke; Nazareno Paolocci; Miguel A Aon
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

6.  Riboneogenesis in yeast.

Authors:  Michelle F Clasquin; Eugene Melamud; Alexander Singer; Jessica R Gooding; Xiaohui Xu; Aiping Dong; Hong Cui; Shawn R Campagna; Alexei Savchenko; Alexander F Yakunin; Joshua D Rabinowitz; Amy A Caudy
Journal:  Cell       Date:  2011-06-10       Impact factor: 41.582

7.  13C n.m.r. isotopomer and computer-simulation studies of the non-oxidative pentose phosphate pathway of human erythrocytes.

Authors:  H A Berthon; W A Bubb; P W Kuchel
Journal:  Biochem J       Date:  1993-12-01       Impact factor: 3.857

8.  Inosine/pyruvate/phosphate medium but not adenosine/pyruvate/phosphate medium introduces millimolar amounts of 5-phosphoribosyl 1-pyrophosphate in human erythrocytes. A 31P-n.m.r. study.

Authors:  A Petersen; B Quistorff
Journal:  Biochem J       Date:  1990-03-01       Impact factor: 3.857

9.  A model of the pentose phosphate pathway in rat liver cells.

Authors:  L Sabate; R Franco; E I Canela; J J Centelles; M Cascante
Journal:  Mol Cell Biochem       Date:  1995-01-12       Impact factor: 3.396

10.  Systematic phenome analysis of Escherichia coli multiple-knockout mutants reveals hidden reactions in central carbon metabolism.

Authors:  Kenji Nakahigashi; Yoshihiro Toya; Nobuyoshi Ishii; Tomoyoshi Soga; Miki Hasegawa; Hisami Watanabe; Yuki Takai; Masayuki Honma; Hirotada Mori; Masaru Tomita
Journal:  Mol Syst Biol       Date:  2009-09-15       Impact factor: 11.429

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