Acute and late changes in intraarticular cytokine levels following anterior cruciate ligament injury
Bibliographic record
Abstract
Surgical reconstruction of the anterior cruciate ligament (ACL) does not necessarily decrease the risk of developing osteoarthritis (OA). The inflammatory response and relative changes in pro- and anti-inflammatory cytokines could participate in triggering the development of OA. To test this hypothesis we measured the concentrations of IL-1β, IL-1ra, IL-6, IL-8, IL-10, and TNF-α at different times after ACL rupture. The sample population consisted of 48 patients with ACL tear which were assigned to different groups according to the time elapsed from the injury: 22 acute (A), 7 early sub-acute (ESA), 11 late sub-acute (LSA), and 8 chronic (C). In group A, there were high levels of IL-1β, IL-6, and IL-8, whereas levels of IL-1ra and TNF-α were significantly lower than usually reported. IL-1β and IL-8 concentrations returned with time to normal levels in the ESA group. Interestingly, IL-1ra levels remained always significantly lower than normally reported levels, and TNF-α levels did not increase after trauma. Our data show increased level of pro-inflammatory cytokines (IL-6 and IL-8) in the acute phase of inflammation which could be responsible for triggering cartilage catabolism and suggest that prompt neutralization of IL-6 and IL-8 accumulations in synovial fluid could help prevent development of OA in ACL-injured knees.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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 teacher head, 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".