Expression of Neurturin, Glial Cell Line–Derived Neurotrophic Factor, and Their Receptor Components in Light-Induced Retinal Degeneration
Bibliographic record
Abstract
PURPOSE: Dysregulation of neurturin (NTN) expression has been linked to photoreceptor apoptosis in a mouse model of inherited retinal degeneration. To investigate the extent to which any such dysregulation depends on the nature of the apoptotic trigger, the expression of NTN, glial cell line-derived neurotrophic factor (GDNF), and their corresponding receptor components were compared in a rat model of light-induced retinal degeneration. METHODS: Retinal expression of NTN, GDNF, their corresponding receptors GFRalpha-2 and -1, the transmembrane receptor tyrosine kinase (Ret), and cSrc-p60, a member of the cytoplasmic protein-tyrosine kinases family, were analyzed by Western blot analysis and immunocytochemistry in cyclic light- and dark-reared rats in the presence and absence of intense light exposure. RESULTS: All components for NTN-mediated signaling activation are present in rat photoreceptors and retinal pigment epithelium, the cells primarily affected by light-induced damage. The expression levels of GDNF, its receptor components, and NTN, were not affected by light-induced stress. However, GFRalpha-2 expression strikingly increased with the extent of retinal damage, especially at the photoreceptors, in contrast to decreased levels that were observed previously in an inherited degeneration model. CONCLUSIONS: The present study indicates that the expression of receptors of the GDNF family is independently regulated in normal and light-damaged rat retina, and in conjunction with previous work, suggests that the pattern of modulation of these genes during photoreceptor degeneration is determined by the nature of the apoptotic trigger. Such differential responses to different modes of retinal degeneration may reflect influences of the neurotrophic system on photoreceptor survival or in the regulation of neuronal plasticity.
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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 | 0.000 |
| 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 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".