Platelet-derived 12-lipoxygenase expression increase the severity of inflammatory arthritis in vivo 2130
Bibliographic record
Abstract
Abstract Description Rheumatoid arthritis (RA) is a systemic inflammatory disease that primarily affects joints. Several cell types, including platelets, as key players in its pathophysiology. Known for their role in coagulation, platelets also contribute to inflammation. Activated platelets release platelet-derived microvesicles (PMVs), found in the synovial fluid of RA patients, which serve as markers of disease severity and promote joint inflammation and pain through inflammatory mediators. Platelet-specific 12-lipoxygenase (12-LO) plays a crucial role in PMV production. However, the role of 12-LO in RA progression is not fully understood. The objective of this study is to determine whether the absence of 12-LO in platelets affects RA development and severity. Using the K/BxN arthritis model, we induced arthritis in wild-type (Alox12+/+) and 12-LO deficient mice (Alox12-/-). Over 14 days, we monitored clinical scores, ankle thickness, and locomotor activity. Our data show that mice lacking 12-LO (Alox12-/-) had 37% less ankle thickness and 27% lower clinical scores compared to wild-type mice. The Alox12-/- mice also demonstrated less impairment in total distance traveled, speed, and the frequency of back paw rearing. These findings indicate that platelet-derived 12-LO expression plays a significant role in RA severity and suggest that targeting 12-LO expression could offer new therapeutic possibilities. Funding Sources Supported by Research New Brunswick and the Canadian Institutes of Health Research Topic Categories Immune Mechanisms of Human Disease (HUM)
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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 | 0.001 | 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) | 0.003 | 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".