Effects of Retinoic Acid on Keratinocyte Proliferation and Differentiation in a Psoriatic Skin Model
Bibliographic record
Abstract
Psoriasis is a skin disease characterized by the presence of red plaques on the skin. This pathology is well-known to be a retinoid-sensitive disease. Previous investigations have shown that retinoids can modulate epidermal proliferation with an antiproliferative potential in hyperproliferative skins. The aim of this study was to compare the development of psoriatic substitutes cultured in a retinoic acid supplemented medium with those cultured in medium receiving no supplement, to define the effects of this growth factor on keratinocyte proliferation and differentiation. The self-assembly method was used to create substitutes. Characterization of the psoriatic substitutes was performed by histological and immunolabeling analyses. Results showed that psoriatic keratinocyte substitutes cultured with retinoic acid have a thinner epidermis compared with psoriatic keratinocyte substitutes cultured without this supplement. Further, the expression of all tested cell differentiation markers was restored in psoriatic keratinocyte substitutes cultured in presence of retinoic acid. No significant change in epidermal thickness or in the expression of late differentiation markers was observed in healthy keratinocyte substitutes cultured with or without retinoic acid; however, some changes were reported for proliferation and early differentiation markers. Results suggest that retinoic acid can modulate epidermal differentiation and proliferation with an antiproliferative potential in psoriatic substitutes such as observed in psoriatic skin in vivo.
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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) | 0.001 | 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".