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Record W2169018817 · doi:10.1139/h08-089

The exercise-induced stress response in skeletal muscle: failure during aging

2008· review· en· W2169018817 on OpenAlexvenueno aff
Anna C. Kayani, James P. Morton, Anne McArdle

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsnot available
Fundersnot available
KeywordsSkeletal muscleMaladaptationHeat shock proteinAdaptive responseBiologyHeat shockAdaptation (eye)Fight-or-flight responseExercise physiologyEndocrinologyInternal medicineMedicineNeuroscienceGeneGenetics

Abstract

fetched live from OpenAlex

Mammalian adult skeletal muscle adapts to the stress of contractile activity with increased gene expression by yielding a family of highly conserved cytoprotective proteins known as heat shock proteins (HSPs). Although the exercise-induced stress response of both animal and human skeletal muscle is now well documented, the precise mechanisms underlying this adaptation remain unclear. The induction of HSPs after exercise is severely blunted in the muscle of older individuals. This review focuses on the effects of different forms of exercise and training on the induction of HSPs in the muscles of adult individuals, and examines the proposed mechanisms underlying this adaptation. Furthermore, the functional effect of the inability of the muscles of older individuals to adapt in this way is discussed, together with the proposed mechanisms underlying this maladaptation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.302
Teacher spread0.284 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations46
Published2008
Admission routes1
Has abstractyes

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