Immune Cell Infiltrates in Hippocampal Sclerosis: Correlation With Neuronal Loss
Bibliographic record
Abstract
Immune mechanisms have been increasingly recognized in the pathogenesis of hippocampal sclerosis (HS), but infiltration of cytotoxic T-cells and its pathological significance in patients with HS has not been explored. We examined 30 cases of surgically resected hippocampi, including 16 International League Against Epilepsy (ILAE) type 1, 9 ILAE type 2, 1 ILAE type 3 HS, and 4 ILAE No-HS, as well as 6 autopsy No-HS hippocampi. The HS hippocampi showed sparse to scattered CD8-positive T-cells, rare CD4-positive T-cells, and a modest increase in CD68-positive microglia/macrophages, which were significantly more numerous than those in the No-HS controls. The infiltration of CD8-positive T-cells was significantly greater in the CA1 subfield than other subfields of type 1 and type 2 HS. The numbers of CD8-positive T-cells positively correlated with those of CD4-positive T-cells; there was a lower ratio of CD4/CD8-positive T-cells. There were positive correlations between these cells and scores of neuronal loss but no significant correlation between the infiltration of these cells and epilepsy disease duration or age of epilepsy onset. These findings suggest that an autoimmune process may be involved in the pathogenesis of HS and infiltration of immune cells, particularly CD8-positive cytotoxic T-cells, may contribute to neuronal loss in HS.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".