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Protein-carbohydrate Ingestion Does Not Alter Selected Markers Of Skeletal Muscle Metabolism During Exercise In Trained Cyclists

2008· article· en· W2025589067 on OpenAlexaffabout
Naomi M. Cermak, Amy Solheim, Melanie S. Gardner, Mark A. Tarnopolsky, Martin J. Gibala

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhosphocreatineGlycogenIngestionInternal medicineCreatineSkeletal muscleEndocrinologyCreatine kinaseCarbohydrateCarbohydrate metabolismPlaceboExercise physiologyInosine monophosphateMedicineChemistryBiochemistryEnergy metabolism

Abstract

fetched live from OpenAlex

Ingesting protein (PRO) with carbohydrate (CHO) during prolonged exercise is purported to alter the acute metabolic response of skeletal muscle compared to CHO alone, however no study has directly investigated this issue. PURPOSE: We tested the hypothesis that, as compared to CHO alone, ingesting CHO+PRO would alter selected markers of metabolic control during exercise, including the magnitude of glycogen and phosphocreatine (PCr) utilization, muscle lactate accumulation and net expansion of the tricarboxylic acid cycle intermediate (TCAI) pool. METHODS: Eight trained male cyclists (29±2 y; VO2peak = 55±2 ml/kg/min) performed a 90 min ride (Ride 1) at 65% of VO2peak on three occasions and needle biopsy samples (v. lateralis) were obtained before and after exercise. In a randomized, double-blind manner, subjects ingested one of three drinks during exercise that contained either 6% CHO + 2% PRO, 6% CHO or a non-energetic placebo (PLA) at a rate of 1 L/h. Following Ride 1, diet was strictly controlled for 24 h before subjects performed a 500 kJ cycling time trial (Ride 2). RESULTS: There was no difference between trials in muscle glycogen utilization DURING exercise (CHO: 465±20 > 283±43; CHO+PRO: 472±45 > 244±33; PLA: 572± 51 > 280±56 mmol/kg dry wt.; main effect for time, P<0.05). Similarly, muscle PCr utilization, lactate accumulation and the increase in the TCAI citrate and malate during exercise was not different between trials (all main effects, P<0.05). Venous blood creatine kinase activity, a marker of sarcolemmal disruption, was elevated immediately prior to Ride 2 compared to pre-Ride 1 (main effect, P<0.05) but there was no difference between treatments. Time trial performance in Ride 2 was not different between trials (CHO: 32.1±1.0; CHO+PRO: 32.1±1.0; PLA: 32.2±1.1 min). CONCLUSION: Ingesting CHO+PRO during exercise did not alter selected markers of skeletal muscle metabolic control compared to CHO alone. Skeletal muscle mechanisms purported to explain the potential ergogenic benefit of CHO+PRO ingestion during exercise remain speculative. Supported by NSERC, Canada

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.234
Teacher spread0.227 · 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".

Quick stats

Citations0
Published2008
Admission routes2
Has abstractyes

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