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Record W2101410785 · doi:10.1007/s11999-008-0270-z

Gene Expression in Rat Supraspinatus Tendon Recovers From Overuse With Rest

2008· article· en· W2101410785 on OpenAlexaff
Scott A. Jelinsky, Spencer P. Lake, Joanne Archambault, Louis J. Soslowsky

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2008
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsWomen's Health Research Institute
FundersNational Institutes of HealthNational Science Foundation
KeywordsRest (music)MedicineTendonGene expressionTendinopathyGenePathologyInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

Rest is a common treatment for overuse injuries, but its effectiveness on gene expression has not been systematically evaluated under controlled experimental conditions. We asked whether genes regulated in the supraspinatus tendon as a result of overuse would return to normal levels after 2 or 4 weeks of rest. We used a rat model of tendon overuse that generates reproducible changes in the histology, geometry, gene expression, and mechanical properties consistent with an overuse injury. Animals were subjected to the overuse protocol for 2 or 4 weeks followed by either 2 or 4 weeks of rest. Microarray analysis was used to measure global changes in gene expression after the overuse plus rest protocol. Genes upregulated as a result of the overuse returned to near normal levels after rest in most animals. The biochemical composition of the tendon was similar to normal after the imposed rest period, except for slightly lower collagen content. These results suggest as little as 2 weeks of rest is often sufficient to recover from the molecular and biochemical effects of 2 and 4 weeks of overuse in this rat model.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.094
GPT teacher head0.403
Teacher spread0.309 · 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 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".

Quick stats

Citations40
Published2008
Admission routes1
Has abstractyes

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