Keratinocyte Releasable Factors Abrogate the Fibrogenic Effect of TGF-beta and IGF-1 in Dermal Fibroblasts
Bibliographic record
Abstract
Over-expression of wound healing promoting factors such as transforming growth factor-1 and insulin-like growth factor-1 during the healing process has been implicated in the development of dermal fibrosis in patients following thermal injury, surgical incision and deep trauma. However, the mechanism through which the expression of these two fibrogenic factors are slowed down and/or abrogated at the late stages of the healing process is not known. In this study, we hypothesize that keratinocyte releasable factors counteract the fibrogenic role of both IGF-1 and TGF-beta 1 in fibroblasts. To examine this hypothesis, Northern and western blot analysis were used to evaluate the levels of collagenase (MMP-1), as an index for extracellular matrix (ECM) degradation, in dermal fibroblasts in response to either keratinocyte conditioned medium (KCM) or our recently identified keratinocyte-releasable stratifin in the presence and absence of either IGF-1, TGF-beta 1 or both. The findings of Northern analysis demonstrated a significant increase in MMP-1 mRNA expression in cells treated with KCM in the presence of both IGF-1 and TGF-beta1. The effect was at least in part due to keratinocyte-derived stratifin which was present in KCM. As for KCM, the MMP-1 modulatory effect of both IGF-1 and TGF- TGF-beta 1 was also counteracted by treating fibroblasts with stratifin. This was further confirmed by showing a marked increase in the level of MMP-1 in fibroblasts treated with recombinant stratifin. This was ascertained as the levels of MMP-1 mRNA were markedly reduced when cells were treated with stratifin immuno-depleted KCM. The results of Western analysis were consistent with that of MMP-1 mRNA detected by Northern analysis.
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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".