The dual role of innate immunity in antiphospholipid syndrome and systemic lupus erythematosus
Bibliographic record
Abstract
Antiphospholipid syndrome (APS), as a primary disease or a secondary syndrome in systemic lupus erythematosus (SLE), is characterized by the presence of antiphospholipid antibodies (aPL) and a clinical event. It is likely that both genetic and environmental factors lead to the development of aPL and progression to disease. However, the precise mechanisms are not known. We hypothesize that innate immune activation plays a dual role in APS and SLE, both in the production of aPL (i.e. "initiation" phase) and in the development of a clinical event (i.e. "effector" phase). We have shown that mice immunized with certain phospholipid-binding proteins (e.g. β2-glycoprotein I (β2GPI)), plus a concomitant trigger of innate immunity (e.g. a toll-like receptor 4 (TLR4) ligand), produce a strong β2GPI-reactive T cell response, resulting in high levels of aPL as well as other SLE autoantibodies. We propose that β2GPI, through its interaction with apoptotic cells, permits B cell epitope spread to multiple SLE autoantibodies. Innate immune activation is also implicated in a murine model of aPL-enhanced thrombus formation. This dual role of innate immune activation provides new insight into the mechanisms involved in the initiation of aPL and other SLE-related autoantibodies, as well as the development of aPL-mediated disease.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".