Literature DB >> 10477270

Model of 2,3-bisphosphoglycerate metabolism in the human erythrocyte based on detailed enzyme kinetic equations: computer simulation and metabolic control analysis.

P J Mulquiney1, P W Kuchel.   

Abstract

This is the third of three papers [see also Mulquiney, Bubb and Kuchel (1999) Biochem. J. 342, 565-578; Mulquiney and Kuchel (1999) Biochem. J. 342, 579-594] for which the general goal was to explain the regulation and control of 2,3-bisphosphoglycerate (2,3-BPG) metabolism in human erythrocytes. 2,3-BPG is a major modulator of haemoglobin oxygen affinity and hence is vital in blood oxygen transport. A detailed mathematical model of erythrocyte metabolism was presented in the first two papers. The model was refined through an iterative loop of experiment and simulation and it was used to predict outcomes that are consistent with the metabolic behaviour of the erythrocyte under a wide variety of experimental and physiological conditions. For the present paper, the model was examined using computer simulation and Metabolic Control Analysis. The analysis yielded several new insights into the regulation and control of 2,3-BPG metabolism. Specifically it was found that: (1) the feedback inhibition of hexokinase and phosphofructokinase by 2, 3-BPG are equally as important as the product inhibition of 2,3-BPG synthase in controlling the normal in vivo steady-state concentration of 2,3-BPG; (2) H(+) and oxygen are effective regulators of 2,3-BPG concentration and that increases in 2,3-BPG concentrations are achieved with only small changes in glycolytic rate; (3) these two effectors exert most of their influence through hexokinase and phosphofructokinase; (4) flux through the 2,3-BPG shunt changes in absolute terms in response to different energy demands placed on the cell. This response of the 2,3-BPG shunt contributes an [ATP]-stabilizing effect. A 'cost' of this is that 2, 3-BPG concentrations are very sensitive to the energy demand of the cell and; (5) the flux through the 2,3-BPG shunt does not change in response to different non-glycolytic demands for NADH.

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Year:  1999        PMID: 10477270      PMCID: PMC1220500     

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


  37 in total

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  27 in total

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

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Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

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Review 3.  The computational integrated myocyte: a view into the virtual heart.

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Authors:  James B Bassingthwaighte
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2001-06       Impact factor: 4.226

5.  A role of erythrocytes in adenosine monophosphate initiation of hypometabolism in mammals.

Authors:  Isadora Susan Daniels; Jianfa Zhang; William G O'Brien; Zhenyin Tao; Tomoko Miki; Zhaoyang Zhao; Michael R Blackburn; Cheng Chi Lee
Journal:  J Biol Chem       Date:  2010-04-29       Impact factor: 5.157

6.  (39)K nuclear magnetic resonance and a mathematical model of K(+) transport in human erythrocytes.

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7.  Dynamics of muscle glycogenolysis modeled with pH time course computation and pH-dependent reaction equilibria and enzyme kinetics.

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Journal:  Biophys J       Date:  2006-04-14       Impact factor: 4.033

8.  Simplified modelling of metabolic pathways for flux prediction and optimization: lessons from an in vitro reconstruction of the upper part of glycolysis.

Authors:  Julie B Fiévet; Christine Dillmann; Gilles Curien; Dominique de Vienne
Journal:  Biochem J       Date:  2006-06-01       Impact factor: 3.857

9.  Unliganded structure of human bisphosphoglycerate mutase reveals side-chain movements induced by ligand binding.

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10.  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

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