Functional assessment of glutamate clearance mechanisms in a chronic rat glaucoma model using retinal ganglion cell calcium imaging
Bibliographic record
Abstract
Using optical imaging of retinal ganglion cell (RGC) calcium dynamics in living intact retinal wholemount preparations, we tested whether RGCs in an experimental rat glaucoma model were more sensitive to exogenously applied glutamate as a result of deficient glutamate clearance mechanisms. In contrast to post-natal rat RGCs in purified cultures, in which the calcium influx induced by 200 microm NMDA and 10 microm glutamate was approximately equivalent, application of up to 500 microm glutamate did not affect calcium levels in RGCs in retinal wholemounts, even though the RGCs responded to 200 microm NMDA. Glutamate (500 microm) did elicit a RGC calcium response in retinal wholemounts when glutamate transporters were inhibited pharmacologically with DL-threo-beta-benzyloxyaspartate, confirming the presence of glutamate clearance mechanisms in this intact retina preparation. The effect of glutamate was then assessed on retinas from rats with chronically elevated intraocular pressure in one eye, produced by the injection of hypertonic saline into an episcleral vein. Application of up to 500 microm glutamate had no effect on RGC calcium levels, while millimolar concentrations of glutamate induced a calcium signal in RGCs that was indistinguishable from that in fellow control retinas. Therefore, there was no evidence for a global defect in glutamate uptake in this rat model of experimental glaucoma. Imaging glutamatergic calcium dynamics of RGCs in retinal wholemounts represents a novel methodology to probe glutamate transporter function and dysfunction in an intact CNS tissue system.
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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 | 0.001 |
| 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 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".