Paracrine regulation of fibroblast aminopeptidase N/CD13 expression by keratinocyte-releasable stratifin
Bibliographic record
Abstract
As wound healing proceeds into the tissue remodeling phase, cellular interactions become dominated by the interplay of keratinocytes with fibroblasts in the skin, which is largely mediated through paracrine signaling and greatly affects the molecular constitution of the extracellular matrix. We have recently identified aminopeptidase N (APN)/CD13 as a potential fibroblast receptor for 14-3-3 sigma (also known as stratifin), a keratinocyte-releasable protein with potent matrix metalloproteinase 1 (MMP1) stimulatory activity. The present study demonstrates that the expression of APN on dermal fibroblasts is regulated through paracrine signaling by keratinocyte-derived soluble factors. By using an in vitro keratinocyte-fibroblast co-culture system, we showed that APN expression in dermal fibroblasts is induced in the presence of keratinocytes or in response to keratinocyte-conditioned medium. Conditioned medium collected from differentiated keratinocytes further increases APN protein production, suggesting an amplified stimulatory effect by keratinocyte differentiation. Recombinant stratifin potently induces APN synthesis in a dose-dependent manner. A consistent correlation between the protein expression levels of APN and MMP1 was also observed. These results confirm paracrine regulation of APN expression in dermal fibroblasts by keratinocyte-derived stimuli, in particular stratifin, and provide evidence that APN may serve as a target in the regulation of MMP1 expression in epidermal-mesenchymal communication.
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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 | 0.000 |
| 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".