Reduced Decorin, Fibromodulin, and Transforming Growth Factor-β3 in Deep Dermis Leads to Hypertrophic Scarring
Bibliographic record
Abstract
Hypertrophic scar (HTS) occurs after injuries involving the deep dermis, while superficial wounds (SWs) to the skin heal with minimal or no scarring. The levels of transforming growth factor (TGF)-β1 and small leucine-rich proteoglycans (SLRPs) with fibroblast subtype and function may influence the development of HTS. The aim of this study was to characterize the expression and localization of factors that regulate wound healing including SLRPs, TGF-β1, and TGF-β3 in an experimental human SW and deep wound (DW) scar model including fibroblasts from superficial and deep layers of normal dermis. A 6-cm horizontal dermal scratch experimental wound was created, which consisted of progressively deeper wounds that were superficial at one end (0-0.75 mm deep) and deep (0.75-3 mm deep) at the other end, located on the anterior thigh of an adult male. Immunofluorescence staining, immunoblotting, reverse transcription polymerase chain reaction, and flow cytometry were performed to analyze the cellular and molecular differences between the SW scar and DW scar as well as fibroblasts isolated from superficial layer (L1) and deep layer (L5) of normal dermis. Comparing SWs and L1 fibroblasts, the expression of decorin, fibromodulin, and TGF-β3 was considerably lower than in DWs and L5 fibroblasts; however, TGF-β1 was higher in the deeper dermal wounds. When compared with L1 fibroblasts, L5 fibroblasts had lower Thy-1 immunoreactivity and significantly higher expression of TGF-β receptor type II. Decreased antifibrotic molecules in matrix of deep dermis of the skin and the unique features of the associated fibroblasts including an increased sensitivity to TGF-β1 stimulation contribute to the development of HTS after injuries involving the deep dermis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".