Glutamate receptors on myelinated spinal cord axons: II. AMPA and GluR5 receptors
Bibliographic record
Abstract
OBJECTIVE: Glutamate receptors, which play a major role in the physiology and pathology of central nervous system gray matter, are also involved in the pathophysiology of white matter. However, the cellular and molecular mechanisms responsible for excitotoxic damage to white matter elements are not fully understood. We explored the roles of AMPA and GluR5 kainate receptors in axonal Ca(2+) deregulation. METHODS: Dorsal column axons were loaded with a Ca(2+) indicator and imaged in vitro using confocal microscopy. RESULTS: Both AMPA and a GluR5 kainate receptor agonist increased intraaxonal Ca(2+) in myelinated rat dorsal column fibers. These responses were inhibited by selective antagonists of these receptors. The GluR5-mediated Ca(2+) increase was mediated by both canonical (ie, ionotropic) and noncanonical (metabotropic) signaling, dependent on a pertussis toxin-sensitive G protein/phospholipase C-dependent pathway, promoting Ca(2+) release from inositol triphosphate-dependent stores. In addition, the GluR5 response was reduced by intraaxonal NO scavengers. In contrast, GluR4 AMPA receptors operated via Ca(2+)-induced Ca(2+) release, dependent on ryanodine receptors, and unaffected by NO scavengers. Neither pathway depended on L-type Ca(2+) channels, in contrast with GluR6 kainate receptor action.1 Immunohistochemistry confirmed the presence of GluR4 and GluR5 clustered at the surface of myelinated axons; GluR5 coimmunoprecipitated with nNOS and often colocalized with neuronal nitric oxide synthase clusters on the internodal axon. INTERPRETATION: Central myelinated axons express functional AMPA and GluR5 kainate receptors, and can directly respond to glutamate receptor agonists. These glutamate receptor-dependent signaling pathways promote an increase in intraaxonal Ca(2+) levels potentially contributing to axonal degeneration.
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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) | 0.003 | 0.001 |
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".