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Serial sarcomerogenesis does not contribute to the initial repeated bout effect in skeletal muscle

2025· article· en· W4410458495 on OpenAlexafffund
Ethan Vlemmix, Avery Hinks, Geoffrey A. Power

Bibliographic record

VenueJournal of Biomechanics · 2025
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPsychology

Abstract

fetched live from OpenAlex

Neuromuscular function is impaired following an unaccustomed bout of eccentric exercise. However, through the repeated bout effect (RBE), the muscle is protected from impaired neuromuscular function following a subsequent bout of eccentric exercise. It has been speculated that the addition of sarcomeres in series (sarcomerogenesis) contributes to the RBE by reducing mechanical strain on muscle fibers during active lengthening. However, whether sarcomerogenesis actually contributes to the RBE is unknown. We investigated whether a single bout of damaging eccentric exercise induces serial sarcomerogenesis, and if this offers a protective effect on the muscle. Using an in-vivo set up, twenty-four Sprague-Dawley rats performed maximal eccentric contractions of the plantar flexors to impair mechanical function. Thirteen days following the initial eccentric exercise bout, twelve rats were sacrificed, to assess serial sarcomere number (SSN) of the soleus and medial gastrocnemius (MG) via laser diffraction. The remaining twelve rats completed an identical second bout of eccentric exercise to assess the RBE. A single bout caused long lasting impairments in torque production (-3% for 100 Hz; -16 % for 10 Hz; P < 0.05 compared to baseline). Following the repeated bout, there was a protective effect with all torque measures recovering by 2 days post-exercise (P > 0.05 compared to baseline). SSN did not differ between the control and exercised legs for either muscle (P > 0.05). There was a robust RBE following the second bout of eccentric exercise, with no increase in SSN indicating serial sarcomerogenesis is not one of the primary initial mechanisms contributing to the RBE.

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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)0.001
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 score0.113
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.321
Teacher spread0.305 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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