Astrocyte activation in the cat dLGN following monocular retinal inactivation
Bibliographic record
Abstract
• Monocular inactivation elicits an eye-specific increase in GFAP labeling within the dLGN. • The increase in GFAP persists even after inactivation wears off and binocular vision is restored. • The magnitude of GFAP elevation varies according to the age at which inactivation occurs. • Increased GFAP was not accompanied by a change in the number of dLGN neurons. Monocular deprivation obstructs the development of visual neural circuits and can impair vision for a lifetime. Effective treatment of this visual disorder, amblyopia, with patching therapy is limited by a short and early critical period, as well as by poor compliance with prescribed treatment. Temporary pharmacological inactivation of the dominant eye has emerged as a means to rapidly correct the effects of monocular deprivation in animal models. Recovery occurs at older ages, and inactivation causes no apparent damage to neural connections within the primary visual pathway. It is unclear what mechanisms protect synaptic connections serving the inactivated eye. Astrocytes are important for the development and maintenance of synapses throughout the nervous system, and can compensate for a prolonged decrease in neural activity. The aim of the current study was to investigate a possible role for astrocytes in mediating the protection of neural connections following monocular inactivation. A significant increase in immunolabeling for glial fibrillary acidic protein (GFAP), a marker for astrocyte activation, was measured within inactivated-eye layers of the dorsal lateral geniculate nucleus from otherwise normal animals. Elevated levels of GFAP persisted even after the period of inactivation wore off, and GFAP was not significantly elevated following monocular deprivation by lid closure. These results implicate astrocyte activation as a possible mechanism that mediates the safeguarding of neural connections during monocular retinal inactivation. The viability of retinal inactivation as a safe and effective treatment for human amblyopia is facilitated by advancing the understanding of its effects within the visual system.
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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) | 0.001 | 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".