Psoriatic keratinocytes are resistant to tumor necrosis factor alpha's induction of m<scp>RNA</scp> for the <scp>NMDA</scp>‐<scp>R</scp>2<scp>C</scp> subunit
Bibliographic record
Abstract
Psoriatic individuals demonstrate accelerated healing and the Koebner phenomenon, suggesting that psoriatic proliferation of keratinocytes is not inhibited appropriately after skin injury. Serial analysis of gene expression in TNFα-exposed keratinocytes shows the greatest alteration in expression of NMDA-R2C. Expression of the NMDA receptor is altered in diseased skin containing TNFα, and TNFα plays a prominent role in psoriasis. An abnormality in induction of NMDA-R2C by TNFα in psoriatic keratinocytes may explain their lack of growth inhibition. We compared the capacity of TNFα to induce expression of NMDA-R2C in normal and psoriatic (involved and uninvolved) keratinocytes in vitro. After 72 h of incubation with TNFα, normal keratinocytes demonstrated a significant induction of NMDA-R2C mRNA compared with control cultures, whereas psoriatic keratinocytes showed no induction. In an in vitro model of wounding (scratches on monolayers), TNFα inhibited migration/proliferation of keratinocytes only at the edge of NMDA-R2C expressing wounded monolayers of normal keratinocytes.
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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) | 0.000 | 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) | 0.003 | 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".