Nogo‐A inhibits vascular regeneration in ischemic retinopathy
Bibliographic record
Abstract
Nogo-A is a potent glial-derived inhibitor of axon growth in the injured CNS and acts as a negative regulator of developmental angiogenesis by inhibiting vascular endothelial cell migration. However, its function in pathological angiogenesis has never been studied after ischemic injury in the CNS. Using the mouse model of oxygen-induced retinopathy (OIR) which yields defined zones of retinal ischemia, our goal was to investigate the role of Nogo-A in vascular regeneration. We demonstrate a marked upregulation of the Nogo-A receptor sphingosine 1-phosphate receptor 2 in blood vessels following OIR, while Nogo-A is abundantly expressed in surrounding glial cells. Acute inhibition of Nogo-A with function-blocking antibody 11C7 significantly improved vascular regeneration and consequently prevented pathological pre-retinal angiogenesis. Ultimately, inhibition of Nogo-A led to restoration of retinal function as determined by electrophysiological response of retinal cells to light stimulation. Our data suggest that anti-Nogo-A antibody may protect neuronal cells from ischemic damage by accelerating blood vessel repair in the CNS. Targeting Nogo-A by immunotherapy may improve CNS perfusion after vascular injuries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".