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Skeletal Muscle Metabolic Adaptations in Response to 6 Weeks of High-Intensity Interval Training

2006· article· en· W2070746587 on OpenAlexaff
Christopher G. R. Perry, Jason L. Talanian, George J. F. Heigenhauser, Lawrence L. Spriet

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsMcMaster UniversityUniversity of Guelph
Fundersnot available
KeywordsHigh-intensity interval trainingAnaerobic exerciseInterval trainingSkeletal muscleMedicineInternal medicineGlycogenolysisCitrate synthaseRespiratory exchange ratioEndocrinologyExercise physiologyVO2 maxHeart ratePhysical therapyChemistryMetabolismBiochemistryBlood pressure

Abstract

fetched live from OpenAlex

PURPOSE: There is sparse data in regards to skeletal muscle metabolic adaptations that occur in response to high intensity (80-100% VO2max) interval training (HIIT). Repeated short bouts of exercise at this intensity challenges both the aerobic and anaerobic ATP producing pathways and leads to an increased capacity of these pathways. We investigated the adaptive responses in the skeletal muscle's aerobic capacity and ability to distribute pyruvate to oxidative phosphorylation during high intensity exercise following 6 wks of HIIT, and hypothesized that there would be improved sensitivity in the regulation of PDH and reduced reliance on glycogenolysis and PCr. METHODS: 8 untrained but recreationally active subjects trained 3 d/wk for 6 wks on a cycle ergometer following a VO2max test and time trial to exhaustion (TTE) at 90% VO2max, which were repeated after training. Workouts consisted of ten 4 min bouts at 90% VO2max separated by 2 min of rest. This equated to 12 hours of training over 6 wks. Training power outputs (PO) were increased to maintain heart rate at ∼95 % of maximum. Muscle biopsies were taken during the TTE at rest, 5 min and exhaustion (EX). RESULTS: PO increased by 21% over 6 wk (209 ± 47 to 252 ± 51 W). Following training, VO2max increased by 9% (3.29 ± 0.24 to 3.58 ± 0.26 l/min) and TTE by 111% (7.1 ± 0.2 to 15.0 ± 1.1 min). The maximal activity of citrate synthase increased by 26% (18.4 ± 1.4 to 23.1 ± 1.2 mmol/min/kg wet muscle) and β-hydroxyacyl-CoA dehydrogenase increased by 29% (15.8 ± 1.1 to 20.3 ± 0.9 mmol/min/kg). PDH total increased by 23% (2.54 ± 0.21 to 3.09 ± 0.29 mmol/min/kg). Activation of PDH (PDHa) at 5 min in the TTE did not change with training (Pre, 2.32 ± 0.24; Post, 2.39 ± 0.18 mmol/min/kg) but was higher at EX (Pre, 1.94 ± 0.20; Post, 2.55 ± 0.27 mmol/min/kg wet muscle). The rate of glycogenolysis in the first 5 mins of TTE decreased (34.1 ± 4.8 to 23.3 ± 3.5 mmol/min/kg dry muscle) as did PCr utilization (12.5 ± 0.7 to 10.5 ± 1.1 mmol/min/kg dry muscle) and lactate accumulation (22.4 ± 1.1 to 17.9 ± 1.6 mmol/min/kg dry muscle) following training. Free ADP (ADPf) was reduced at 5 min after training (366.1 ± 42.5 to 265.4 ± 34.1 mmol/kg wet muscle). CONCLUSIONS: Only 12 hours of HIIT over 6 wks resulted in impressive increases in the aerobic capacity of the skeletal muscle. The reduced levels of ADPf but similar PDHa post-training suggest an improved sensitivity in the regulation of PDH. This, coupled with attenuated glycogenolysis, resulted in a greater proportion of pyruvate directed to oxidative phosphorylation. A decrease in PCr utilization supports these findings of HIIT-induced enhancements in aerobic ATP production and endurance performance during very intense exercise.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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 designObservational
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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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