Effects of Neurotrophins on the Survival and Regrowth of Injured Retinal Neurons
Bibliographic record
Abstract
The focus of this short review is the role of certain neurotrophins and their receptors on the survival and regrowth of retinal ganglion cells (RGCs) whose axons are damaged in the optic nerve. Initial experiments in our laboratory documented patterns of RGC death after axotomy. Subsequent studies were designed to investigate the distribution of high-affinity neurotrophin receptors in neurons and glial cells of the retina and optic nerve. This information was used both in vitro and in vivo to study the effects of specific trophic molecules on the survival and regrowth of injured RGCs. During the course of experiments involving neurotrophin administration, an endogenous source of trophic support--independent of the exogenous administration of growth factors--was found within the eye. Several experiments were subsequently undertaken to define further this survival effect and determine its nature and source within the eye. Finally, anatomical techniques that help visualize fine axonal processes within the retina have provided insights into the specific effects of neurotrophins on the growth and branching of injured CNS axons.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".