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Effects of acute isometric knee extension exercise at 40% MVC on muscle mechanical properties and Ca2+ pump function

2008· article· en· W129867236 on OpenAlexafffund
R. D. Stewart, Ryan A. Sayer, Andrew Hopf, Chris Vigna, Éric Bombardier, A. Russell Tupling

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIsometric exerciseContraction (grammar)Internal medicineCardiologyMedicineChemistryMuscle biopsyEndoplasmic reticulumEndocrinologyBiopsyBiochemistry

Abstract

fetched live from OpenAlex

To investigate the effects of intermittent isometric knee extension exercise on muscle mechanical properties and sarcoplasmic reticulum (SR) Ca2+‐ATPase activity, 8 healthy males performed 30 minutes of single‐legged knee extension exercise at 40% maximal voluntary contraction (MVC) with a 50% duty cycle (5 sec. contraction, 5 sec relaxation). Quadriceps isometric contractile properties were measured during voluntary and evoked contractions before (PRE) and after (POST) exercise and on recovery day 1 (R1), 2 (R2), 3 (R3) and 6 (R6). Exercise caused a reduction (p<0.05) in the maximal twitch force POST when compared with PRE (141 ± 15 vs. 74 ± 8, N) that had recovered by R1 (135 ± 11, N). MVC force was also depressed (p<0.05) POST when compared to PRE (557 ± 58 vs. 313 ± 16), but unlike evoked force, did not fully recover until R6 (p<0.05).Measurements of maximal Ca2+‐ATPase activity (uM/mg protein/min) were made in homogenates that were prepared from muscle biopsy samples taken before and after exercise and throughout recovery. Compared with PRE, maximal Ca2+‐ATPase activity was not different at any time point. In conclusion, muscle fatigue caused by intermittent isometric knee extension exercise at 40% MVC is not associated with intrinsic alterations in SR Ca2+‐ATPase function in humans. 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.117
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.219
Teacher spread0.200 · 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 teacher head, 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
Published2008
Admission routes2
Has abstractyes

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