The Inhibitor of Costimulation of T Cells: Abatacept
Bibliographic record
Abstract
OBJECTIVE: T cell costimulation is a key point in the regulation of immune tolerance, immune response, and autoimmunity. T cell activation does not take place upon the simple engagement of T cell receptor; a second signal is needed to fully stimulate T cells. There are a variety of molecules that can act as costimulators, and among those CD28/CD80 signaling plays a crucial role in modulating T cell response. Cytotoxic T lymphocyte antigen-4, CD152 (CTLA4) is a physiologic antagonist of CD28, and abatacept, a synthetic analog of CTLA4, has recently been approved to treat rheumatoid arthritis. An abnormal T cell activation is also believed to sustain psoriatic disease both at skin and joint sites. We aimed to evaluate the rationale of blocking CD28/CD80 signaling and the possible use of abatacept for treating psoriatic arthritis (PsA). METHODS: We reviewed the role of CD28/CD80 signaling in promoting T cell inflammation in psoriasis and the effects of CTLA4 modulation in experimental models of psoriasis and in humans. RESULTS: CD28/CD80 seems to be crucial in stimulating T cell activation and inflammation in psoriasis, and its inhibition by CTLA4 analogs or by anti-CD28 blocking antibodies is effective against psoriasis. Few data are available on abatacept, which seems to be valuable for the treatment of PsA but less useful in the therapy of skin psoriasis. CONCLUSION: Although the CD28 molecule is crucial in activating T cells and inflammation in psoriasis, data on the efficacy of abatacept in the treatment of PsA are still not conclusive.
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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 | 0.002 |
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".