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Heat stress prevents overload‐induced hypertrophy of myosin heavy chain type I fiber area, but does not alter structural damage or localized patterns of cellular replication

2008· article· en· W33136615 on OpenAlexaff
Bruce C. Frier, Marius Locke

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsPlantaris muscleMuscle hypertrophyMyosinMyoDChemistryInternal medicineEndocrinologyCell biologyAnatomyMyocyteSkeletal muscleBiologyBiochemistryMedicineMyogenesisSoleus muscle

Abstract

fetched live from OpenAlex

Heat stress (HS) inhibits compensatory hypertrophy in the rat plantaris muscle by preventing the accumulation of myosin heavy chain type I (MHC‐I) protein. However, it is unknown whether HS also affects MHC‐I fiber area, structural changes, nuclear accumulation and localized satellite cell activation in overloaded plantaris. Thirty Sprague‐Dawley rats underwent synergistic ablation and were divided into non‐heat stressed (NHS) and heat stressed (15‐min, 42°C) groups. The contralateral limb was used as a control. Muscles were assessed after 1, 3 and 7 days of functional overload. MHC‐I fiber area was not significantly different between NHS and HS plantaris muscles after 1 day of overload (0.228 mm 2 vs. 0.172 mm 2 ,respectively); however, MHC‐I fiber area was significantly greater in the NHS plantaris compared to HS plantaris after 3‐ and 7‐days (0.364 mm 2 vs. 0.193 mm 2 and 0.442 mm 2 vs. 0.237 mm 2 , respectively). Localized Myf‐5, PCNA and MyoD suggested a similar pattern of satellite cell activation in both NHS and HS plantaris muscles on all days. Overload induced progressive structural damage and massive accumulation of nuclei in the deep portion of the plantaris regardless of a prior HS. These results suggest that HS may prevent an overload‐induced increase in MHC‐I fiber area by restricting protein expression in existing fibers, rather than via altered replication signals, tissue strain or nuclear accumulation.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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: Bench or experimental · Consensus signal: Bench or experimental
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 head0.253
Teacher spread0.233 · 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

Labeled directly by 2 models reading the full record.

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 routes1
Has abstractyes

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