Ischemia Regulates Endoglin Expression in a Pig Skin Flap Model
Bibliographic record
Abstract
Endoglin is a transmembrane protein that binds transforming growth factor b (TGF-b) with high affinity. It is thought to modulate TGF-b signaling and responses through interactions on cell surfaces with TGF-b receptors. It is highly expressed on endothelial cells of tissues undergoing angiogenesis. Since ischemia-induced changes such as angiogenesis are in part regulated by TGF-b, it is important to elucidate the precise mechanism by which they occur if we are to influence the effects of ischemia on tissue. Since endoglin is one of the receptors involved in regulating TGF-b signaling, we tested whether endoglin expression will increase in response to ischemic injury. A pig skin flap model was developed and used in our laboratory to study the effect of ischemia on the expression of endoglin and its ligand TGF-b1 using immunohistochemistry. We observed an increased expression of endoglin and TGF-b1 in the epidermal layer, blood vessels, and fibroblasts in ischemic skin flaps as compared to non-ischemic control skin flaps. Given the role of TGF-b and endoglin in angiogenesis, this may represent a mechanism by which ischemia stimulates angiogenesis. Much work remains to be done to delineate the exact mechanisms by which TGF-b acts and the exact role of endoglin in TGF-b signaling. Understanding how to regulate the actions of TGF-b by manipulating the expression of endoglin may provide a therapeutic avenue given the importance of TGF-b in tumour angiogenesis.
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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 | 0.001 | 0.001 |
| 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".