Acute Modulation of Voltage‐Gated Ca <sup>2+</sup> Channels in Retinal Ganglion Cells by Gabapentin
Bibliographic record
Abstract
The α 2 δ 1 auxiliary subunits of voltage‐gated Ca 2+ channels (VGCCs) are important modulators of VGCC function. Gabapentin interacts with α 2 δ 1 subunits. Thus, it is possible that gabapentin may prevent the deleterious effects of elevated Ca 2+ levels in retinal ganglion cells (RGCs) in trauma and disease. The aim of this study was to establish the expression of α 2 δ 1 VGCC auxiliary subunits in the retina and to determine the effects of gabapentin on VGCCs in RGCs. Immunohistochemistry was performed on rat retinal sections to determine the localization of α 2 δ 1 . Patch clamp was used to record Ca 2+ currents (I Ca ) in isolated RGCs. I Ca was measured in the absence and presence of gabapentin. Retinal sections exhibited α 2 δ 1 ‐like immunoreactivity in RGC cell bodies and their primary dendrites. In isolated RGCs, acute administration of gabapentin reduced I Ca compared to control. Pretreatment of RGCs with gabapentin reduced I Ca compared to non‐pretreated cells. Also, acute administration of gabapentin to RGCs that had been pretreated further reduced I Ca . Thus, modulation of α 2 δ 1 VGCC subunits may prove to be an important target in the neuroprotection of damaged RGCs. Ongoing work is aimed to determine the mechanism of acute modulation of VGCCs by gabapentin.
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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 | 0.001 |
| 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".