GP.03 Immune deficiencies/dysregulations underpinning childhood limbic encephalitis: a case series and literature review
Bibliographic record
Abstract
Background: Limbic encephalitis (LE) is a rare autoimmune syndrome affecting limbic system structures and causing variety of manifestations including memory changes, temporal epilepsies, and psychiatric symptoms. It is a rare disease in children but with a well-recognizable combination of clinical, neuroimaging and/or histological signature. Beyond the association with anti-neuronal auto-antibodies, no clear immune system phenotype has been associated with limbic encephalitis. Our aim is to characterize the clinical and paraclinical features of non-paraneoplasic limbic encephalitis and to correlate them with potential underlying immune deficiencies. Methods: Retrospective case series of seven patients with limbic encephalitis recruited at the Montreal Children’s Hospital (MCH) with a focus on the immune- and neuro-phenotypes, including anti-neuronal antibodies, lymphocyte sub-typing, key markers of immunoglobulin and complement systems. Literature review showed 77 cases of non-paraneoplastic non-NMDA limbic encephalitis. Results: Symptoms included temporal epilepsy (n=5), psychiatric symptoms such as ADHD or autistic symptoms (n=2), and memory changes (n=3). One patient was positive for both voltage gated potassium channel antibodies (VGKC) and anti-thyroid peroxidase antibodies (TPO) and two were positive only for anti TPO antibodies. One patient showed low CD19, and immunoglobulins. Three patients showed chronic low CD56 cell count. Conclusions: The study is still ongoing, but at least 3 patients already display some traits of immune dysregulation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".