New-Onset Refractory Status Epilepticus Due to a Novel MT-TF Variant
Bibliographic record
Abstract
Objective: ). Its variations have been described as extremely rare etiologies of a variety of mitochondrial phenotypes. Methods: By means of whole-exome sequencing (WES), we detected a novel likely causative MT-TF variant (m.610T>C) in a family presenting with a combined movement disorder and epilepsy phenotype. The variant was present at 97% heteroplasmy in the peripheral blood and in a homoplasmic state in skin fibroblast-derived DNA. Results: The inaugural manifestation in the index patient was new-onset refractory myoclonic status epilepticus (NORSE) at the age of 29 years. Her son presented later with developmental regression and myoclonic epilepsy. On the beginning of valproate because of ongoing myoclonic seizures, the index patient developed a generalized brain edema requiring bilateral craniotomy. In the course of the disease, epileptic manifestations abated, and both patients developed a severe movement disorder phenotype with prominent spastic-dystonic features. Both patients did not display any further sign of mitochondrial disease. Discussion: disease spectrum and highlights pitfalls in the diagnostics and management of mitochondrial epilepsy. The present findings advocate the introduction of rapid genetic testing in the diagnostic flow chart of NORSE in adults.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".