Mechanisms of Endothelial to Mesenchymal Transition in the Retina in Diabetes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Hyperglycemia-induced endothelial damage is a key pathogenetic factor in diabetic retinopathy. Endothelial damage may lead to phenotypic changes in the cells manifested by reduced expression of endothelial markers and increased expression of mesenchymal markers, termed endothelial to mesenchymal transition (EndMT). We investigated mechanisms of such changes in the retinal endothelial cells and in the retina of diabetic animals. METHODS: Human retinal microvascular endothelial cells were grown in medium containing 5 mM glucose or 25 mM glucose with or without TGFβ1 peptide or TGFβ1 inhibitor or miR-200b mimic transfection. Messenger RNA levels of endothelial markers, mesenchymal markers, and specific signaling molecules of TGFβ pathway were quantified. Expression of miR-200b and histone acetylator p300 was quantified. Retinal tissues from mice with endothelial-specific overexpression of miR-200b, with or without streptozotocin-induced diabetes, were similarly examined. RESULTS: Glucose caused decreased expression of mRNA and protein levels of endothelial markers and increased expression of mesenchymal markers with reduced miR-200b. A glucose-like effect was seen using TGFβ1 peptide. Such changes were mediated by miR-200b and p300. In the retinas of wild-type diabetic mice, EndMT was observed, which was prevented in miR-200b transgenic mice with diabetes. CONCLUSIONS: These data indicate glucose-induced EndMT in vitro and in vivo is possibly mediated through TGFβ and regulated by miR-200b and p300.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it