Evidence for Cholinergic Dysfunction in Autosomal Dominant Kufs Disease
Bibliographic record
Abstract
OBJECTIVE: Neuronal ceroid-lipofuscinoses are a heterogeneous group of inherited disorders in which abnormal lipopigments form lysosomal inclusion bodies in neurons. Kufs disease is rare, and clinical symptoms include seizures, progressive cognitive impairment, and myoclonus. Most cases of Kufs disease are autosomal recessive; however, there have been a few case reports of an autosomal dominant form linked to mutations within the DNAJC5 gene. METHODS: We describe a family with Kufs disease in which the proband and three of her four children presented with cognitive impairment, seizures, and myoclonus. RESULTS: Genetic testing of all four children was positive for a c.346_348delCTC(p.L116del) mutation in the DNAJC5 gene. The proband brain had an abundance of neuronal lipofuscin in the cerebral cortex, striatum, amygdala, hippocampus, substantia nigra, and cerebellum. There were no amyloid plaques or neurofibrillary tangles. Immunohistochemistry demonstrated that the cholinergic neurons and cholinergic projection fibers were spared, but there was a profound loss of choline acetyltransferase within the caudate, putamen, and basal forebrain. This suggests a loss of choline acetyltransferase as opposed to a loss of the neurons. CONCLUSIONS: This report describes the clinical history of autosomal dominant Kufs disease, the genetic mutation within the DNAJC5 gene, and the neuropathological findings demonstrating depletion of choline acetyltransferase in the brain.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".