Astrocyte-induced firing in primary afferent axons
Bibliographic record
Abstract
Abstract The mesencephalic trigeminal nucleus is unique in that it contains the cell bodies of large-caliber primary afferents that are usually located in the periphery in the dorsal root ganglia or trigeminal ganglia. The activity of these afferents is typically associated with proprioception of the jaw-closing muscles or mechanoreception on the teeth and periodontal ligament. However, like other large-caliber afferents from the body which display ectopic firing in neuropathic pain models, these afferents exhibit increased excitability and ectopic discharges even in a relatively mild muscle pain model. These discharges normally emerge from subthreshold membrane oscillations (SMOs) supported by a persistent sodium current ( I NaP ) which is exquisitely sensitive to extracellular Ca 2+ -decreases. We have shown in the trigeminal main sensory nucleus that the release of a Ca 2+ -binding astrocytic protein, S100β, is sufficient to modulate this sodium current. Here, we explore if this astrocyte-dependent mechanism contributes to emergence of this hyperexcitability and aim to localize the cellular site where ectopic discharge may arise using whole-cell patch-clamp recordings, confocal imaging, and immunohistochemistry methods on mice brain slices. We found that astrocytes, by lowering [Ca 2+ ] e at focal points along the axons of NVmes neurons through S100β, enhance the amplitude of the Na V 1.6-dependent SMOs leading to ectopic firing. These findings suggest a crucial role for astrocytes in excitability regulation and raise questions about this neuron-astrocyte interaction as a key contributor to hyperexcitability in several pathologies.
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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".