Literature DB >> 19801387

Silencing of glycolysis in muscle: experimental observation and numerical analysis.

Joep P J Schmitz1, Natal A W van Riel, Klaas Nicolay, Peter A J Hilbers, Jeroen A L Jeneson.   

Abstract

The longstanding problem of rapid inactivation of the glycolytic pathway in skeletal muscle after contraction was investigated using (31)P NMR spectroscopy and computational modelling. Accumulation of phosphorylated glycolytic intermediates (hexose monophosphates) during cyclic contraction and subsequent turnover during metabolic recovery was measured in vivo in human quadriceps muscle using dynamic (31)P NMR spectroscopy. The concentration of hexose monophosphates in muscle peaked 40 s into metabolic recovery from maximal contractile work at 6.9 +/- 1.3 mm (mean +/- s.d.; n = 8) and subsequently declined at a rate of 0.009 +/- 0.001 mm s(1). It was next tested whether the current knowledge of the kinetic controls in the glycolytic pathway in muscle integrated in the Lambeth and Kushmerick computational model of skeletal muscle glycolysis explained the experimental data. It was found that the model underestimated the magnitude of deactivation of the glycolytic pathway in resting muscle, resulting in depletion of glycolytic intermediates and substrate for oxidative ATP synthesis. Numerical analysis of the model identified phosphofructokinase and pyruvate kinase as the kinetic control sites involved in deactivation of the glycolytic pathway. Ancillary 100-fold inhibition of both phosphofructokinase and pyruvate kinase was found necessary to predict glycolytic intermediate and ADP concentrations correctly in resting human muscle. Incorporation of this information into the model resulted in highly improved agreement between predicted and measured in vivo dynamics of hexose monophosphates in muscle following contraction. We concluded that silencing of the glycolytic pathway in muscle following contraction is most likely to be mediated by phosphofructokinase and pyruvate kinase inactivation on a time scale of seconds and minutes, respectively, and is necessary to prevent depletion of vital cellular substrates.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19801387      PMCID: PMC2893886          DOI: 10.1113/expphysiol.2009.049841

Source DB:  PubMed          Journal:  Exp Physiol        ISSN: 0958-0670            Impact factor:   2.969


  64 in total

Review 1.  Metabolic channeling in plants.

Authors:  Brenda S J Winkel
Journal:  Annu Rev Plant Biol       Date:  2004       Impact factor: 26.379

2.  Postprandial triacylglycerol uptake in the legs is increased during exercise and post-exercise recovery.

Authors:  L H Enevoldsen; L Simonsen; J Bülow
Journal:  J Physiol       Date:  2005-07-14       Impact factor: 5.182

3.  The changes in the energy metabolism of human muscle induced by training.

Authors:  V A Selivanov; P de Atauri; J J Centelles; J Cadefau; J Parra; R Cussó; J Carreras; M Cascante
Journal:  J Theor Biol       Date:  2007-10-05       Impact factor: 2.691

4.  Computer modeling of mitochondrial tricarboxylic acid cycle, oxidative phosphorylation, metabolite transport, and electrophysiology.

Authors:  Fan Wu; Feng Yang; Kalyan C Vinnakota; Daniel A Beard
Journal:  J Biol Chem       Date:  2007-06-25       Impact factor: 5.157

5.  Improved method for accurate and efficient quantification of MRS data with use of prior knowledge

Authors: 
Journal:  J Magn Reson       Date:  1997-11       Impact factor: 2.229

6.  Binding of glycolytic enzymes to structure proteins of the muscle.

Authors:  H Arnold; D Pette
Journal:  Eur J Biochem       Date:  1968-11

7.  31P-NMR observation of free ADP during fatiguing, repetitive contractions of murine skeletal muscle lacking AK1.

Authors:  Chad R Hancock; Jeffrey J Brault; Robert W Wiseman; Ronald L Terjung; Ronald A Meyer
Journal:  Am J Physiol Cell Physiol       Date:  2005-02-02       Impact factor: 4.249

8.  Muscle net glucose uptake and glucose kinetics after endurance training in men.

Authors:  B C Bergman; G E Butterfield; E E Wolfel; G D Lopaschuk; G A Casazza; M A Horning; G A Brooks
Journal:  Am J Physiol       Date:  1999-07

9.  Human muscle metabolism during sprint running.

Authors:  M E Cheetham; L H Boobis; S Brooks; C Williams
Journal:  J Appl Physiol (1985)       Date:  1986-07

10.  Metabolic dynamics in skeletal muscle during acute reduction in blood flow and oxygen supply to mitochondria: in-silico studies using a multi-scale, top-down integrated model.

Authors:  Ranjan K Dash; Yanjun Li; Jaeyeon Kim; Daniel A Beard; Gerald M Saidel; Marco E Cabrera
Journal:  PLoS One       Date:  2008-09-09       Impact factor: 3.240

View more
  9 in total

Review 1.  Systems biology from micro-organisms to human metabolic diseases: the role of detailed kinetic models.

Authors:  Barbara M Bakker; Karen van Eunen; Jeroen A L Jeneson; Natal A W van Riel; Frank J Bruggeman; Bas Teusink
Journal:  Biochem Soc Trans       Date:  2010-10       Impact factor: 5.407

2.  Combined in vivo and in silico investigations of activation of glycolysis in contracting skeletal muscle.

Authors:  J P J Schmitz; W Groenendaal; B Wessels; R W Wiseman; P A J Hilbers; K Nicolay; J J Prompers; J A L Jeneson; N A W van Riel
Journal:  Am J Physiol Cell Physiol       Date:  2012-10-31       Impact factor: 4.249

3.  Unchanged muscle fiber conduction velocity relates to mild acidosis during exhaustive bicycling.

Authors:  J P J Schmitz; J P van Dijk; P A J Hilbers; K Nicolay; J A L Jeneson; D F Stegeman
Journal:  Eur J Appl Physiol       Date:  2011-08-23       Impact factor: 3.078

Review 4.  Computational modeling of mitochondrial energy transduction.

Authors:  J P J Schmitz; J Vanlier; N A W van Riel; Jeroen A L Jeneson
Journal:  Crit Rev Biomed Eng       Date:  2011

5.  Magnetic Resonance-Compatible Arm-Crank Ergometry: A New Platform Linking Whole-Body Calorimetry to Upper-Extremity Biomechanics and Arm Muscle Metabolism.

Authors:  Riemer J K Vegter; Sebastiaan van den Brink; Leonora J Mouton; Anita Sibeijn-Kuiper; Lucas H V van der Woude; Jeroen A L Jeneson
Journal:  Front Physiol       Date:  2021-02-19       Impact factor: 4.566

6.  Magnetic resonance reveals mitochondrial dysfunction and muscle remodelling in spinal muscular atrophy.

Authors:  Laura E Habets; Bart Bartels; Fay-Lynn Asselman; Melissa T Hooijmans; Sandra van den Berg; Aart J Nederveen; W Ludo van der Pol; Jeroen A L Jeneson
Journal:  Brain       Date:  2022-05-24       Impact factor: 15.255

7.  Biochemical competition makes fatty-acid β-oxidation vulnerable to substrate overload.

Authors:  Karen van Eunen; Sereh M J Simons; Albert Gerding; Aycha Bleeker; Gijs den Besten; Catharina M L Touw; Sander M Houten; Bert K Groen; Klaas Krab; Dirk-Jan Reijngoud; Barbara M Bakker
Journal:  PLoS Comput Biol       Date:  2013-08-15       Impact factor: 4.475

8.  Parameter trajectory analysis to identify treatment effects of pharmacological interventions.

Authors:  Christian A Tiemann; Joep Vanlier; Maaike H Oosterveer; Albert K Groen; Peter A J Hilbers; Natal A W van Riel
Journal:  PLoS Comput Biol       Date:  2013-08-01       Impact factor: 4.475

9.  Optimal experiment design for model selection in biochemical networks.

Authors:  Joep Vanlier; Christian A Tiemann; Peter A J Hilbers; Natal A W van Riel
Journal:  BMC Syst Biol       Date:  2014-02-20
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.