Differential expression of collagen integrin receptor on fetal vs. adult skin fibroblasts: implication in wound contraction during healing
Bibliographic record
Abstract
BACKGROUND: Fetal skin wound healing is characterized by an absence of contraction and scar formation, two important observations associated with adult healing often leading to pathological problems. OBJECTIVES: We have studied the capacity of adult and fetal human skin fibroblasts to contract collagen gels, collagen being the major structural component of dermal matrix. METHODS: In parallel with collagen gel contraction studies, we have used fluorescence-activated cell sorter analysis to study the levels of collagen receptors expressed at the surface of fibroblasts derived from fetal or adult skin samples. RESULTS: Strong differences were detected between freshly isolated fetal and adult fibroblasts. Fetal fibroblasts had a very low capacity to contract collagen gel, whereas adult cells significantly contracted gels in the same conditions. The expression of alpha1, alpha2 and alpha3 integrin subunits was also significantly different depending of the donor age: alpha1 and alpha3 integrin subunit expression was lower in fetal cells compared with adult cells, whereas alpha2 integrin subunit expression was higher. When grown in monolayers, adult cells showed rapid changes in their contractile capacity and integrin expression while fetal cells were only affected after several passages. CONCLUSIONS: These observations indicate that intrinsic differences between fetal and adult fibroblasts can strongly influence the quality of wound repair.
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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) | 0.002 | 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".