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Record W4413427877 · doi:10.3390/ani15172474

Refinement of the Lipopolysaccharide-Induced Synovitis Model in Equine Middle Carpal Joints

2025· article· en· W4413427877 on OpenAlexaff
Michael Duggan, Clodagh Kearney, Milda Baltrimaite, Margot C. Labberté, Rory Gibney, Pieter A.J. Brama

Bibliographic record

VenueAnimals · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsTrinity College
FundersUniversity College Dublin
KeywordsSynovitisCarpal JointMedicineLipopolysaccharideCarpal bonesWristRadiologyArthritisInternal medicine

Abstract

fetched live from OpenAlex

The aim of this study was to refine the lipopolysaccharide (LPS)-induced synovitis model in normal carpal joints of Thoroughbred horses by comparing two low LPS doses. A further aim was to investigate the relationship between the induced synovitis and lameness. The study design consisted of two phases using nine horses with a unilateral crossover design and a within-animal saline control. Synoviocentesis was performed at post-injection hour (PIH) 0, 8, 24, 72 and 168, allowing for synovial fluid cytology and biomarker analysis. Objective gait and thermographic analysis were used to objectively measure clinical effects. The results demonstrate that injection of either a 0.125 ng or 0.25 ng dose of LPS induces a comparable degree of synovitis in terms of TP, WBC, PGE2 and MMP activity at peak values. Statistically significant changes in baseline lameness values were not detected with the 0.125 ng dose, a novel and valuable finding suggesting a comparable degree of synovitis is achieved without significant lameness. All measured parameters had returned to baseline by PIH 168. In conclusion, the findings of this study confirm that this LPS model produces a consistent and reliable synovitis at 0.25 ng and 0.125 ng doses. The reduction in lameness evident at the 0.125 ng dose offers enhanced animal welfare while delivering measurable synovitis. The authors believe that a further reduction in the LPS dose is possible with continued development of a repeated low-dose/slow-release model to better mimic clinical disease.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.177
GPT teacher head0.405
Teacher spread0.228 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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