Endoglin haploinsufficiency is associated with differential regulation of extracellular matrix production during skin fibrosis and cartilage repair in mice
Bibliographic record
Abstract
Transforming growth factor (TGF)-β is a multifunctional growth factor with potent pro-fibrotic effects. Endoglin is a TGF-β co-receptor that strongly regulates TGF-β signaling in a variety of cell types. Although aberrant regulation of TGF-β signaling is known to play a key role in fibrotic diseases such as scleroderma and impaired cartilage repair, the significance of endoglin function in regulating these processes is poorly understood. Here we examined whether endoglin haploinsufficiency regulates extracellular (ECM) protein expression and fibrotic responses during bleomycin induced skin fibrosis and surgically induced osteoarthritis, using endoglin-heterozygous (Eng+/−) mice and wild-type (Eng+/+) littermates. Skin fibrosis was induced by injecting mice intradermally with bleomycin or vehicle. Osteoarthritis was induced surgically by destabilization of medial meniscus. Dermal thickness, cartilage integrity and ECM protein expression were then determined. Eng+/− mice subjected to bleomycin challenge show a marked decrease in dermal thickness ( P < 0.005) and reduced collagen content and decreased collagen I, fibronectin, alpha-smooth muscle actin levels as compared to Eng+/+ mice, both under basal and bleomycin treated conditions. Eng+/− mice undergoing surgically induced osteoarthritis show no differences in the degree of cartilage degradation, as compared to Eng+/+ mice, although chondrocytes isolated from Eng +/− display markedly enhanced collagen II levels. Our findings suggest that endoglin haploinsufficiency in mice ameliorates bleomycin-induced skin fibrosis suggesting that endoglin represents a pro-fibrotic factor in the mouse skin. However, endoglin haploinsufficiency does not protect these mice from surgically indiced cartilage degradation, demonstrating differential regulation of endoglin action during skin and cartilage 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.001 |
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".