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Record W2030657224 · doi:10.1196/annals.1402.022

Molecular and Histological Analysis of a New Rat Model of Experimental Knee Osteoarthritis

2007· article· en· W2030657224 on OpenAlexafffund
C. Thomas Appleton, David D. McErlain, James L. Henry, David W. Holdsworth, Frank Beier

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2007
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMcMaster UniversityRobarts Clinical TrialsWestern University
FundersCanadian Arthritis NetworkCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsOsteoarthritisCartilageArticular cartilageContext (archaeology)Degeneration (medical)MedicineChemokinePathologyAnatomyInternal medicineBiologyInflammation

Abstract

fetched live from OpenAlex

Articular cartilage degeneration is the most consistently observed feature of osteoarthritis (OA). Animal and human studies have shown that various forms of exercise influence the course of the disease in different ways. In addition, early changes in articular cartilage that influence the progression of OA, such as the expression of cytokines, require further investigation. We have used a surgically induced experimental model of knee OA to address these questions. Here, we discuss our recent studies investigating the effects of an exercise paradigm in surgically induced OA, which determined that the destabilized knee joint is susceptible to enhanced degeneration when subjected to low-intensity, low-impact exercise. Further, we investigated early global changes in gene expression in articular chondrocytes from degenerating cartilage. Identified candidate genes including genes involved in chemokine, endothelin, and transforming growth factor-alpha signaling are discussed in the context of articular cartilage degeneration in early OA.

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)0.001
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.077
GPT teacher head0.340
Teacher spread0.263 · 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 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

Citations44
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of SciencesSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207