Investigating inflammation of adipose tissue in a diet induced obesity model of OA in female sprague dawley rats
Bibliographic record
Abstract
This study was aimed at evaluating the disturbance of mesenteric fat, and the infrapatellar fat pad (IFP) of the knee, and their potential contribution to systemic inflammation and local inflammation in the knee, and the development of knee joint OA in female Sprague-Dawley rats.Female rats were randomized into two groups; a Chow-fed group (Chow) and rats fed a high-fat and high-sucrose diet (HFS). Body composition, serum lipid profile, insulin resistance, serum and synovial fluid inflammatory markers, knee joint degeneration, and adipocyte size in the two fat depots were assessed after 12 weeks of the diet interventions. Mesenteric fat macrophage infiltration and infrapatellar fat pad fibrosis were also quantified.Rats from the HFS group had higher body fat, serum triglycerides levels, serum cholesterol levels, insulin resistance, increases in selected serum biomarkers such as TNF-α, leptin, MCP-1, and MIP-1α, and more severe cartilage degeneration and subchondral bone lesions than did the Chow-fed control rats. However, no increase in macrophage infiltration and fibrosis in the fat tissues were observed in the HFS group compared to the chow-fed group.The mesenteric fat and IFP were protected from inflammation associated with the HFS diet in the female rats, indicating a sex-based difference in the response to the HFS diet. However, cartilage degeneration and subchondral bone lesions were increased in the HFS compared to the control group rats, suggesting that the mechanisms resulting in knee OA development and progression in female rats may distinctly differ from that of male rats.
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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 | 0.001 |
| 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) | 0.002 | 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".