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A Single ∼4 Min Bout Of All-out Exercise Augments PGC-1α mRNA Expression In Human Skeletal Muscle

2010· article· en· W2323065651 on OpenAlexaff
Andrew J.R. Cochran, Michael E. Percival, Jenna B. Gillen, Mark A. Tarnopolsky, Martin J. Gibala

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2010
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSkeletal muscleMitochondrial biogenesisEndocrinologyInternal medicineMedicineEndurance trainingCardiologyChemistryMitochondrionBiochemistry

Abstract

fetched live from OpenAlex

High-intensity interval training (HIT) performed at an "all-out" intensity is a potent stimulus for mitochondrial biogenesis in human skeletal muscle (Gibala et al. J Physiol. 575: 901-911, 2006). Six sessions of HIT over 2 wk (4-6 maximal 30 s cycle sprints with 4 min of recovery per session) increased mitochondrial enzyme activity to the same extent as traditional endurance training (90-120 min of moderate-intensity cycling per session). These HIT-induced adaptations appear linked to repeated transient increases in the transcriptional coactivator PGC-1α (Gibala et al. J Appl Physiol. 106: 929-934, 2009). Thus, a few minutes of very high intensity exercise performed in an intermittent fashion, and interspersed with brief rest/recovery periods is sufficient to increases PGC-1α(acutely) and muscle oxidative capacity (chronically) in human skeletal muscle. However the relative importance of the "pulsed" nature of the HIT stimulus remains unclear. PURPOSE: To determine whether a single bout of all out exercise would stimulate an increase in PGC-1αmRNA expression similar to an intermittent maximal cycling protocol matched for total work output. METHODS: Eight men (22±1 y, 48±2 mL·kg−1·min−1) performed two exercise trials in random order ≥1 wk apart. During one session, subjects performed 4 × 30 s all out sprints separated by 4 min of rest (HIT). In the other trial, subjects performed an isovolumetric amount of work (67.0±2.4 kJ; IsoV) as the HIT trial, but in a single continuous all-out effort. RESULTS: Mean power averaged over the 4 sprints was 557±16 W, whereas mean power during the single bout was 287±18 W. Thus, mean time to completion in IsoV was ∼4 min (3:58±0:09 min:s; range: 3:23-4:30 min:s), near double that of the 4 × 30 s HIT trial (excluding recovery, p<0.05). However, when HIT recovery was included, total time commitment of the IsoV trial was only ∼30% of HIT. RT-PCR analysis of skeletal muscle biopsies revealed a similar ∼3.1-fold increase in PGC-1αmRNA 3 h post-exercise compared to pre-exercise, with no differences between trials (p<0.05, main effect for time). CONCLUSIONS: These findings indicate that augmentations in PGC-1αmRNA expression are achieved by very low volumes of all-out exercise whether performed continuously or intermittently. It appears that as little as 3-5 min of all out continuous exercise may be sufficient to stimulate mitochondrial biogenesis in human skeletal muscle. Supported by NSERC.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.311
Teacher spread0.289 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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