Early inflammatory arthritis in the rabbit: the influence of intraarticular and systemic corticosteroids on mRNA levels in connective tissues of the knee.
Bibliographic record
Abstract
OBJECTIVE: Using a rabbit model of inflammatory arthritis, to determine the influence of early disease on expression of specific genes and investigate the influence of intraarticular (IA) and intramuscular (IM) corticosteroids on the regulation of these genes in connective tissues of the rabbit knee. METHODS: Skeletally mature rabbits underwent induction of antigen-induced arthritis or remained untreated as control animals. Four days after disease induction, at an early stage of the disease, animals underwent either IA or IM treatment with glucocorticoids (GC) (5 mg/knee and 10 mg/kg methylprednisolone acetate, respectively). Twenty-four hours following treatment, synovium, menisci, and cartilage of the knee were collected and analyzed for changes in mRNA levels using reverse transcription-polymerase chain reaction for a number of relevant genes: collagen I, collagen II, biglycan, decorin, matrix metalloproteinases-3 and -13 (MMP-3 and MMP-13), cyclooxygenases-1 and -2 (COX-1 and COX-2), tumor necrosis factor-alpha (TNF-alpha), interleukin 1beta (IL-1beta), inducible nitric oxide synthase (iNOS), hyaluronan synthase-2 (HAS-2), and the housekeeping gene beta-actin. RESULTS: Early inflammatory arthritis led to an overall upregulation of most genes assessed, but a downregulation of some genes (iNOS, HAS-2, COX-1) in some tissues. While genes such as collagen II, MMP-3, and MMP-13 were uniformly downregulated by GC treatment in both normal and arthritic tissues, other genes such as collagen I, biglycan, and decorin differed in their pattern of response depending on the tissue examined, the route of drug administration, and whether normal or arthritic tissue was studied. CONCLUSION: Early mRNA changes in RA-like disease led to alterations in all tissues examined. The changes were uniquely altered by GC treatment. Route of GC administration influenced outcome.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.001 |
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.
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".