PSIII-11 Long-term effects of intra-articular lipopolysaccharide on markers of inflammation and cartilage metabolism in young Quarter Horses
Bibliographic record
Abstract
Abstract Intra-articular lipopolysaccharide (LPS) is an established model for inducing robust, transient inflammation and increasing cartilage metabolism for up to 24 h following administration. Currently, there is limited information evaluating the long-term effects of this gram-negative endotoxin on the intra-articular environment of young horses. Therefore, the objective of this study was to determine the lasting effects of a single administration of intra-articular LPS on synovial biomarkers of inflammation and cartilage metabolism over 35 wk. Quarter Horse yearlings [n = 10; body weight (BW) = 409 ± 24 kg; 619 ± 16 d of age; fillies, (n = 7) and geldings (n = 3), originating from a single herd were used to test the hypothesis that intra-articular inflammation and cartilage metabolism would not be elevated at 35 wk post-injection. Each horse had one randomly selected radiocarpal joint injected with 0.8 mL of a 0.5 ng LPS solution derived from Escherichia coli O55:B5 (INFL; Sigma-Aldrich, St. Louis, MO) and the contralateral joint received sterile lactated Ringer’s solution (CON) as a control. Synovial fluid was obtained on 0 (before injection of LPS), 2, and 35 wk following arthrocentesis. Synovial fluid samples were analyzed in duplicate for carboxypropeptide of type II collagen (CPII), collagenase cleavage neopeptide (C2C), chondroitin sulfate 846 epitope (CS846), and prostaglandin E2 (PGE2) by commercial ELISA (IBEX Pharm, Montreal, Quebec, CA and Arbor Assays, Ann Arbor, MI). Biomarkers were analyzed using PROC MIXED of SAS v9.4 with repeated measures (time). The model included treatment (CON, INFL), time (week), and treatment × time interaction as fixed effects. Synovial biomarkers PGE2, CPII, and CS846 changed over time (P < 0.01) regardless of LPS administration, increasing from 0 to 2 wk and declining to below baseline concentrations at wk 35. There was a treatment × time interaction (P ≤ 0.01) in which INFL joints had decreased catabolic C2C concentrations compared with CON joints at wk 35. Therefore, LPS administration did not increase cartilage metabolism and inflammation levels at 2 or 35 wk post-LPS induction, indicating no negative effects compared with the contralateral controls. This study supports using intra-articular LPS in young horses without negative long-term effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".