Efalizumab, a reversible T-cell modulator for psoriasis
Bibliographic record
Abstract
The humanized monoclonal antibody (MAb) efalizumab (Raptiva) was developed to meet a longstanding need for specific, safe, and effective anti-psoriatic treatments. Efalizumab, which is directed at the lymphocyte surface protein LFA-1, prevents multiple interactions between T cells and other cell types. Here, we review the inflammatory pathway that drives the development of psoriasis, and we discuss several mechanisms by which efalizumab suppresses skin inflammation in psoriasis. Efalizumab reversibly increases circulating T-cell counts, as T cells--including pathogenic CD8 memory T cells that are prominent in psoriatic lesions-- are specifically restrained from leaving the bloodstream and entering the skin. Within two weeks of the onset of efalizumab treatment, cell surface and intracellular LFA-1 pools are substantially cleared by lysosomal degradation. Residual surface LFA-1 molecules remain saturated with bound efalizumab for some weeks following cessation of treatment. Efalizumab's pharmacodynamic properties are consistent with its profound and reversible beneficial effects on the histopathology of psoriatic skin.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".