Interleukin-6 elevates thrombosis via pro-coagulant phospholipids from platelet 12-lipoxygenase in rheumatoid arthritis
Bibliographic record
Abstract
Abstract Background Rheumatoid arthritis (RA) is associated with significantly higher thrombotic risk, which is not yet mechanistically understood. Here, the role of pro-coagulant membranes of platelets and blood cells in driving thrombosis, and their regulation by inflammation was determined using human cohorts and genetically-modified mice. Methods Antigen-induced arthritis (AIA) was induced in WT, Il27ra −/− , Il6ra −/− , Alox12 −/− and Alox15 −/− mice. Coagulation and inflammatory markers were measured in plasma. Lipidomics was performed on blood cells and synovium analyzing pro-coagulant enzymatically-oxidized phospholipids (eoxPL) and oxylipins. Two human RA patient cohorts were characterized for eoxPL generation in blood cells, and chronic immune response to eoxPL in vivo. Results AIA induction significantly elevated plasma thrombin-antithrombin (TAT) complexes, serum amyloid A (SAA), and eoxPL in blood cells and platelets. Elevations in TATs, SAA and eoxPL were suppressed by genetic deletion of IL-6Ra, while platelet Alox12 deletion prevented TAT and eoxPL increases. This indicates a direct role for IL-6 in elevating thrombosis via upregulation of platelet eoxPL. In contrast, leukocyte Alox15 deletion did not impact TATs or eoxPL. Deletion of either LOX isoform worsened AIA joint pathology. Synovial tissue demonstrated raised eoxPL, but exclusively from Alox15 , indicating leukocyte origin. Thus, both LOX isoforms contribute to AIA, but through different mechanisms. In human RA, platelet counts, and plasma TATs were elevated, and plasma had significantly elevated IgG against eoxPL, indicating patients experience chronic exposure to the lipids in vivo . Conclusions Platelet-derived pro-coagulant eoxPL are elevated in human and murine arthritis along with higher coagulation markers. In mice, this was mediated by the IL-6/ Alox12 axis and directly responsible for the higher thrombotic risk. IL-6 plays a central role in driving platelet activation in RA, with the pro-coagulant lipid membrane representing a novel target. Reducing inflammation using DMARDs, particularly targeting IL-6 may reduce platelet pro-coagulant activity and thrombosis risk in RA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".