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Na+-K+-ATPase Responses During Prolonged Cycle Exercise to Fatigue in Response to Dietary Carbohydrate (CHO) Manipulation

2007· article· en· W1992733373 on OpenAlexaffabout
Kevin P. Foley, Todd A. Duhamel, Howard J. Green, Mike Sharratt

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChinese hamster ovary cellInternal medicineEndocrinologyChemistryGlycogenOuabainATPaseMedicineEnzymeBiochemistrySodium

Abstract

fetched live from OpenAlex

PURPOSE: In this study, we investigated the effects of prolonged exercise on muscle Na+-K+-ATPase function in males following dietary CHO manipulation. METHODS: Seven healthy male volunteers (VO2peak = 39.2 ± 1.8 mL/kg/min) cycled at ∼65% of their peak aerobic power (VO2peak) on two occasions; namely following a 4-day high CHO diet (Hi CHO) and following a 4-day low CHO diet (Lo CHO). A glycogen depletion protocol was completed prior to each condition. Muscle samples from the vastus lateralis were collected at rest, 30 min of exercise, Lo CHO fatigue, and Hi CHO fatigue. Maximal Na+-K+-ATPase activity (Vmax) was assessed using the 3-O-methylfluorescein phosphatase assay while the maximal number of alpha subunits (βmax) was measured using the [3H] ouabain binding technique. RESULTS: In Lo CHO, Vmax (nmole/mg protein/h) was reduced (p<.05) at 30 min (71 ± 3) but not at Lo CHO fatigue (80 ± 10) compared to rest (87 ± 6). A similar pattern was observed for Hi CHO, namely a reduction (p<.05) at 30 min (70 ± 7) and no change at Lo CHO fatigue (94 ± 6) compared to rest (88 ± 14). No further change was found at Hi CHO fatigue (104 ± 7). Although no differences in Vmax were observed between Lo CHO and Hi CHO at similar time points, Vmax was higher (p<.05) at fatigue in Hi CHO compared to Lo CHO. Time to fatigue in Hi CHO (103 ± 9.3 min) increased by 54% compared to Lo CHO (66.7 ± 5.9 min). Increases (p<.05) in βmax (pmol/g) from rest to fatigue were observed in Lo CHO (291 ± 15 vs. 316 ± 19) and Hi CHO (311 ± 21 vs. 336 ± 9). There was a trend (p=.07) for βmax to be higher in Hi CHO compared to Lo CHO. Total muscle glycogen (mmol glucosyl units/kg dry wt) was higher (P < 0.05) in Hi CHO compared with Lo CHO at rest (+36%), at 30 min (+53%), and at Lo CHO fatigue (+44%). CONCLUSIONS: These changes in Vmax with exercise suggest that 2 mechanisms are involved, one that depresses Vmax early in exercise and one that restores Vmax as exercise progresses. Manipulation of muscle glycogen levels did not alter the response. The increase in α subunit abundance observed at fatigue suggests a translocation to the sarcolemma, an effect which may be potentiated by Hi CHO. 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)0.000
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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.019
GPT teacher head0.297
Teacher spread0.278 · 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
Published2007
Admission routes2
Has abstractyes

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