Tubedown-1 (Tbdn-1) suppression in oxygen-induced retinopathy and in retinopathy of prematurity.
Bibliographic record
Abstract
PURPOSE: Identification of unique proteins involved in retinopathy of prematurity (ROP) may facilitate new and more effective diagnostic tools and molecular-based treatments for ROP. Tubedown-1 (Tbdn-1), a novel homeostatic protein which copurifies with an acetyltransferase activity, is expressed in normal retinal endothelium and is specifically suppressed in retinal endothelial cells from patients with proliferative diabetic retinopathy. Furthermore, recent in vivo knockdown studies in mice have revealed that Tbdn-1 is important for retinal blood vessel homeostasis and for preventing retinal neovascularization in adults. The purpose of the present study was to determine if the expression pattern of Tbdn-1 is altered during oxygen-induced retinal neovascularization in mice and in a specimen of stage 3 human ROP. METHODS: Specimens of oxygen-induced retinal neovascularization in mice, and a single specimen of active stage 3 ROP were studied by immunohistochemistry and digital image analysis using antibodies raised against Tbdn-1 and other blood vessel markers. RESULTS: The pattern of Tbdn-1 expression during the course of oxygen-induced retinal neovascularization in mice suggests a regulating role in neonatal retinopathy. Retinal lesions from oxygen-induced retinal neovascularization in mice display suppression of retinal endothelial Tbdn-1 protein expression in conjunction with an increase in expression of proliferating cell nuclear antigen (a marker of proliferation) and alpha smooth muscle actin (a marker of myofibroblastic cells). Abnormal blood vessels within vitreoretinal neovascular lesions in a human specimen of active stage 3 ROP did not show Tbdn-1 protein expression. CONCLUSIONS: These results suggest that the loss of retinal endothelial Tbdn-1 expression may be a contributing factor in retinal blood vessel proliferation in ROP.
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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 | 0.001 |
| 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".