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Greater intramuscular metabolic perturbations contribute to faster muscle fatigue development in males than females during intermittent isometric exercise

2024· article· en· W4398165178 on OpenAlexaff
Marta Colosio, Matteo Lamboglia, Elisa Pastorio, Marco Gatti, Gianluca Vernillo, John Temesi, Matteo Fiorenza

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIsometric exerciseMuscle fatiguePhysical medicine and rehabilitationMedicineInternal medicineEndocrinologyPhysiologyPhysical therapyCardiologyElectromyography

Abstract

fetched live from OpenAlex

INTRODUCTION: Previous studies reported faster performance fatigability in males than females during isometric exercise, ultimately prolonging time to task failure in the latter at the same relative intensity. Several authors suggested anatomical and physiological factors as primary determinants, but it remains unknown whether exercise-related accumulation of metabolites within skeletal muscle differentially affects fatigue development in female and males. PURPOSE: This study aimed to investigate intramuscular metabolic perturbations during fatiguing intermittent isometric knee-extensor exercise in males and females. Herein, we tested the hypothesis that greater metabolic perturbation during intermittent isometric exercise results in greater fatigue development in males compared to females. Methods: Fifteen males (M)(26±2y) and fifteen eumenorrheic females (F)(24±3y) visited the laboratory twice. During visit 1, isometric knee-extensors critical torque (CT) was estimated by a 5-min all-out test. In visit 2, participants performed intermittent isometric knee-extensor exercises to task failure at 110% of CT. To determine knee-extensors magnitude and etiology of fatigue maximal voluntary isometric contraction (MVIC), voluntary activation (VA) and potentiated twitches (St) amplitudes were evaluated before (PRE), at 9min (MID), and at task failure (POST). At the same time points, intramuscular pH and concentrations of ATP, PCr, Cr and La were determined in vastus lateralis muscle biopsies. Results: Time to task failure was shorter in M than F (1017±498 vs 1511±506s; P<.01). At PRE, MVIC torque was higher in M than F (259±70 vs 152±24Nm; P<.001). Relative decline in MVIC torque from PRE to MID was greater in M than F (-43±9 vs -34±8% from PRE; P<.05) but reached similar decline at POST (-55±7 vs -53±6% from PRE). VA decreased throughout the test similarly in both sexes (P<.001). St loss from PRE was higher in M than F (-45±13 vs -37±15%; P<.05) at MID whereas no sex differences were observed at POST. Muscle pH decreased at a similar rate in M and F during the test (P<.03). Muscle [ATP] did not change from PRE to MID or POST. Muscle [Cr] increased at a similar rate in M and F during the test (P<.01). Muscle [PCr] was lower in M than F at any time point (P<.03). At MID, [La] increased to a greater extent in M than F (P<.01) with no between-sex differences at POST. CONCLUSION: Males showed greater fatigue development than females associated with greater metabolic perturbation during intermittent isometric exercise performed at same relative intensity. Higher PCr depletion and higher La accumulation suggest females were less fatigable than males due to higher glycolytic rate and less intramuscular inorganic phosphate concentration. The present work was funded by a Travelling Fellowship grant JEBTF2210859 to MC from The Company Of Biologists Limited. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

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)0.0040.000

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 head0.041
GPT teacher head0.293
Teacher spread0.252 · 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
Published2024
Admission routes1
Has abstractyes

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