Facial hypersensitivity and trigeminal pathology in mice with experimental autoimmune encephalomyelitis
Bibliographic record
Abstract
Trigeminal neuropathic pain is a well-recognized complication of the demyelinating disease multiple sclerosis (MS). However, the mechanisms underlying MS-related trigeminal neuropathic pain are poorly understood. This can be attributed, at least in part, to the lack of an animal model that exhibits trigeminal pathology similar to that described in MS. Experimental autoimmune encephalomyelitis (EAE) is an animal model that is commonly used to study the pathophysiology of MS. We show here that mice with EAE exhibit increased sensitivity to air puffs applied to the whisker pad. The increased sensitivity to air puff stimulation is accompanied by T cell infiltration and glial activation at several points along the trigeminal primary afferent pathway. We also observe demyelination of the intra- and extra-pontine aspects of the trigeminal sensory root and the spinal trigeminal tract. This is the first study to show orofacial sensory disturbances and trigeminal demyelination in EAE. Collectively, our data suggest that EAE may be a useful model for understanding MS-related trigeminal neuropathic pain conditions such as trigeminal neuralgia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".