Constitutive expression of hypoxia‐inducible factor‐1 α in keratinocytes during the repair of skin wounds in horses
Bibliographic record
Abstract
As a transient hypoxic state exists within skin wounds in horses and may be important for the healing process, this study sought to identify a molecular hypoxia response occurring in horse limb and body wounds healing by second intention. Hypoxia-inducible factor 1α (HIF1α) protein expression was studied throughout repair by Western blotting and immunofluorescence. Paradoxically, HIF1α was strongly expressed in intact skin and its expression decreased dramatically following wounding (p<0.01), despite the expected hypoxic state within the wounded tissue. HIF1α levels reincreased in parallel with the epithelialization process, and more rapidly in body wounds than in limb wounds (p<0.01). HIF1α localized predominantly to the keratinocyte layer, in which it was constitutively expressed throughout healing. The HIF1α target gene cyclin-dependent kinase inhibitor 1A (CDKN1A) showed a pattern of expression similar to HIF1α throughout the healing process and also localized to the keratinocyte layer, suggesting that HIF1α may regulate its constitutive expression. The HIF1α target genes vascular endothelial growth factor A (VEGFA) and solute carrier family 2 (facilitated glucose transporter) member 1 (SLC2A1) however did not have a pattern of expression similar to HIF1α, at the mRNA level. We conclude that HIF1α is expressed in a continuous and hypoxia-independent manner in equine keratinocytes in both intact and wounded skin, and may regulate the expression of CDKN1A in this cell type.
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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".