Neuropathy in a mouse model of CD8+ T cell-mediated CNS demyelination (P4176)
Bibliographic record
Abstract
Abstract Several lines of evidence suggest that CD8+ T cells could contribute to the pathogenesis of many autoimmune diseases of the nervous system. Our group studies a mouse model that spontaneously develops neurological symptoms associated with demyelinated lesions in the CNS (herein referred to as L31 mice). We have shown that the demyelinating disease in L31 mice is T cell-dependent with CD8+ T cells acting as effector T cells in the pathological process while CD4+ T cells play a regulatory role. Because L31 mice exhibit motor dysfunction indicated by clasping of the limbs and difficulty walking, we wanted to determine whether the PNS was also affected. A flow cytometry approach was used to determine T cell kinetic accumulation in the CNS and PNS. Data demonstrate that CD8+ T cells accumulate in the CNS of L31 mice from early on in life while they only appear in the PNS once mice display neurological symptoms. Furthermore, immunofluoresecent studies of the CNS and PNS of these mice recapitulate the flow cytometry data and demonstrate the large extent of demyelination in the PNS of symptomatic L31 mice, which is associated with CD8+ T cell accumulation. We hypothesize that epitope spreading during the course of this CD8+ mediated demyelinating disease is the cause of PNS pathology. It will be of further interest to determine the T cell receptor specificity of the CNS and PNS infiltrating lymphocytes.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".