Disease modifying effects of N-butyryl glucosamine in a streptococcal cell wall induced arthritis model in rats.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of different doses of N-butyryl glucosamine (GlcNBu) on joint preservation and subchondral bone density and quality in a streptococcal cell wall (SCW) induced arthritis model in Lewis rats. METHODS: Chronic arthritis was induced in 36 female Lewis rats by a single intraperitoneal injection of SCW antigen. The 4 groups studied were: (1) no arthritis, no drug treatment; (2) arthritis, no drug treatment; (3) arthritis, oral GlcNBu 20 mg/kg/day; and (4) arthritis, oral GlcNBu 200 mg/kg/day. Inflammation (ankle swelling) was quantified throughout the clinical course; bone mineral density (BMD) was measured by dual-energy x-ray absorptiometry on dissected distal femurs and proximal tibiae, in user defined regions of interest. Qualitative and quantitative 3-D bone architecture changes were determined using microcomputerized tomography on the left tibiae. Subchondral plate thickness and trabecular bone connectivity were studied on the proximal tibia epiphyses from the central coronal sections of each scanned tibia. RESULTS: GlcNBu inhibited inflammatory ankle swelling at both 20 and 200 mg/kg/day, the latter being statistically significant, with an average reduction of 33%. GlcNBu preserved or enhanced BMD and bone connectivity and prevented further bone loss at both the high and the low dose. Comparisons of the isosurfaces and the architectural measures in the different groups showed that GlcNBu effectively protected the joint surfaces from further erosion in this model of chronic inflammatory arthritis. For some of the bone measurements, increasing doses of GlcNBu showed increasing protective effects, while for other measurements, effects were maximal at the lower dose. CONCLUSION: These data indicate that GlcNBu provides antiinflammatory and antierosive effects by preserving BMD, joint integrity, and bone architecture in involved joints of the SCW model.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".