CaV3.2 calcium channels contribute to trigeminal neuralgia
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Bibliographic record
Abstract
ABSTRACT: Trigeminal neuralgia (TN) is a rare but debilitating disorder characterized by excruciating facial pain, with a higher incidence in women. Recent studies demonstrated that TN patients present mutations in the gene encoding the Ca V 3.2 T-type calcium channel, an important player in peripheral pain pathways. We characterize the role of Ca V 3.2 channels in TN at 2 levels. First, we examined the biophysical properties of CACNA1H variants found in TN patients. Second, we investigated the role of Ca V 3.2 in an animal model of trigeminal neuropathic pain. Whole-cell patch-clamp recordings from 4 different mutants expressed in tsA-201 cells (E286K in the pore loop of domain I, H526Y, G563R, and P566T in the domain I-II linker) identified a loss of function in activation in the E286K mutation and gain of function in the G563R and P566T mutations. Moreover, a loss of function in inactivation was observed with the E286K and H526Y mutations. Cell surface biotinylation revealed no difference in channel trafficking among the variants. The G563R mutant also caused a gain of function in the firing properties of transfected trigeminal ganglion neurons. In female and male mice, constriction of the infraorbital nerve induced facial thermal heat hyperalgesia. Block of T-type channels with Z944 resulted in antihyperalgesia. The effect of Z944 was absent in Ca V 3.2 -/- mice, indicating that Ca V 3.2 is the molecular target of the antihyperalgesic Z944 effect. Finally, enzyme-linked immunosorbent assay analysis revealed increased Ca V 3.2 channel expression in the spinal trigeminal subnucleus caudalis. Altogether, the present study demonstrates an important role of Ca V 3.2 channels in trigeminal pain.
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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 | 0.001 | 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 it