Effects of Chondroitin and Glucosamine Sulfate in a Dietary Bar Formulation on Inflammation, Interleukin-1β, Matrix Metalloprotease-9, and Cartilage Damage in Arthritis
Bibliographic record
Abstract
This study examined the effects of chondroitin sulfate (CS) alone and CS plus glucosamine sulfate (GS) in a dietary bar formulation on inflammatory parameters of adjuvant-induced arthritis and on the synthesis of interleukin-1beta (IL-1beta) and matrix metalloprotease-9 (MMP-9). Following 25 days pretreatment with dietary bars containing either CS alone, CS plus GS, or neither CS nor GS, rats were either sham injected or injected with Freund's complete adjuvant into the tail vein. Rats were fed their respective bars for another 17 days after inoculation. Parameters of disease examined included clinical score (combination of joint temperature, edema, hyperalgesia, and standing and walking limb function), incidence of disease, levels of IL-1beta in the serum and paw joints, levels of MMP-9 in the paw joints, paw joint histology, and joint cartilage thickness. Treatment with CS plus GS, but not CS alone, significantly reduced clinical scores, incidences of disease, joint temperatures, and joint and serum IL-1beta levels. Treatment with CS alone and CS plus GS inhibited the production of edema and prevented raised levels of joint MMP-9 associated with arthritis. Similarly, CS alone and CS plus GS treatment also prevented the development of cartilage damage associated with arthritis. Combination CS plus GS treatment in a dietary bar formulation ameliorates clinical, inflammatory, and histologic parameters of adjuvant-induced arthritis. The benefits of CS and GS in combination are more pronounced than those of CS alone. The reduction of arthritic disease by CS plus GS is associated with a reduction of IL-1beta and MMP-9 synthesis.
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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 | 0.000 |
| 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".