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Record W1624560602 · doi:10.1113/jp270821

5′‐AMP activated protein kinase α<sub>2</sub> controls substrate metabolism during post‐exercise recovery via regulation of pyruvate dehydrogenase kinase 4

2015· article· en· W1624560602 on OpenAlexaff
Andreas M. Fritzen, Anne‐Marie Lundsgaard, Jacob Jeppesen, Mette Landau Brabæk Christiansen, Rasmus Sjørup Biensø, Jason R.B. Dyck, Henriette Pilegaard, Bente Kiens

Bibliographic record

VenueThe Journal of Physiology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical Acid Research Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPyruvate kinasePyruvate dehydrogenase kinasePyruvate dehydrogenase complexChemistryPyruvate dehydrogenase phosphatasePyruvate decarboxylationSubstrate (aquarium)Protein kinase AMetabolismBiochemistryPKM2KinaseCell biologyEnzymeBiologyGlycolysis

Abstract

fetched live from OpenAlex

Key points There is lower fat oxidation during post‐exercise recovery in mice lacking 5′‐AMP activated protein kinase α 2 (AMPKα 2 ). AMPKα 2 is involved in post‐transcriptional and not transcriptional regulation of pyruvate dehydrogenase kinase 4 (PDK4) in muscle. Exercise‐induced AMPKα 2 activity increases PDK4 protein content, in turn inhibiting pyruvate dehydrogenase activity and glucose oxidation. The mechanism for increased post‐exercise fat oxidation is by inhibition of carbohydrate oxidation allowing increased fat oxidation rather than by direct stimulation of fat oxidation. Abstract It is well known that exercise has a major impact on substrate metabolism for many hours after exercise. However, the regulatory mechanisms increasing lipid oxidation and facilitating glycogen resynthesis in the post‐exercise period are unknown. To address this, substrate oxidation was measured after prolonged exercise and during the following 6 h post‐exercise in 5´‐AMP activated protein kinase (AMPK) α 2 and α 1 knock‐out (KO) and wild‐type (WT) mice with free access to food. Substrate oxidation was similar during exercise at the same relative intensity between genotypes. During post‐exercise recovery, a lower lipid oxidation ( P &lt; 0.05) and higher glucose oxidation were observed in AMPKα 2 KO (respiratory exchange ratio (RER) = 0.84 ± 0.02) than in WT and AMPKα 1 KO (average RER = 0.80 ± 0.01) without genotype differences in muscle malonyl‐CoA or free‐carnitine concentrations. A similar increase in muscle pyruvate dehydrogenase kinase 4 (PDK4) mRNA expression in WT and AMPKα 2 KO was observed following exercise, which is consistent with AMPKα 2 deficiency not affecting the exercise‐induced activation of the PDK4 transcriptional regulators HDAC4 and SIRT1. Interestingly, PDK4 protein content increased (63%, P &lt; 0.001) in WT but remained unchanged in AMPKα 2 KO. In accordance with the lack of increase in PDK4 protein content, lower ( P &lt; 0.01) inhibitory pyruvate dehydrogenase (PDH)‐E1α Ser 293 phosphorylation was observed in AMPKα 2 KO muscle compared to WT. These findings indicate that AMPKα 2 regulates muscle metabolism post‐exercise through inhibition of the PDH complex and hence glucose oxidation, subsequently creating conditions for increased fatty acid oxidation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.240
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations44
Published2015
Admission routes1
Has abstractyes

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