Silencing of glycolysis in muscle: experimental observation and numerical analysis
Open accessAbstract
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 m m (mean ± s.d. ; n = 8) and subsequently declined at a rate of 0.009 ± 0.001 m m 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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
An ODE description is appropriate when the number of particles involved in the biochemical network is large enough to consider concentrations and when spatial effects are negligible.
“Such a description is appropriate when the number of particles involved in the biochemical network is large enough to be able to consider concentrations and when spatial effects are negligible [43][44][45][46][47][48].”
From Parameter uncertainty in biochemical models described by ordinary differential equations (2013) · cites this paper as [43]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 68 · Cited by 32
- Authors
- Schmitz, J. P. J., Van Riel, N. A. W., Nicolay, K., Hilbers, P. A. J., & Jeneson, J. A. L.
- Affiliations
- Eindhoven University of Technology (NL)
- Venue
- Experimental Physiology
- Publisher
- Wiley
- Published
- 2010-01-14
- Volume
- 95
- Issue
- 2
- Pages
- 380-397
- ISSN
- 0958-0670 (ISSN-L)
- 1469-445X
- PMC
- PMC2893886
- OpenAlex
- W2145011905
- Cited by
- 32
- References
- 68
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 1 · 2018: 3 · 2015: 1 · 2014: 5 · 2013: 3 · 2012: 2
- FWCI
- 6.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Experimental Physiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- TU/e Research Portal (submittedVersion)
- Funders
- Center for Translational Molecular Medicine (01 C-104)
- National Institutes of Health (072011)
- National Heart, Lung, and Blood Institute (HL-072011, R01HL072011)
- Topics
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Keywords
- glycolysis, skeletal muscle, hexose monophosphates, phosphofructokinase, pyruvate kinase, enzyme inactivation, glycolytic intermediates, ADP, computational modelling, 31P NMR, quadriceps
- MeSH terms
- Adaptation, Physiological, Computer Simulation, Glucose, Glycolysis, Humans, Models, Biological, Muscle Contraction, Physical Endurance, Muscle, Skeletal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review