Enzyme-based Diagnosis of Classical Late Infantile Neuronal Ceroid Lipofuscinosis: Comparison of Tripeptidyl Peptidase I and Pepstatin-insensitive Protease Assays
Bibliographic record
Abstract
The neuronal ceroid lipofuscinoses (NCLs) are a group of inherited neurodegenerative diseases that include infantile NCL (INCL; OMIM 256730, where the defective gene is CLN1), classical late infantile NCL (LINCL; OMIM 204500, where the defective gene is CLN2), two variant late infantile NCLs (OMIM 256731, where the defective gene is CLN5; and OMIM 601780, where the defective gene is CLN6), juvenile NCL (JNCL; OMIM 204200; defective gene, CLN3), a juvenile onset epilepsy with progressive mental retardation (EPMR; OMIM 600143; defective gene, CLN8), and adult NCL (Kufs disease; OMIM 204300; defective gene, CLN4) [reviewed in Ref. (1)]. Patients experience a progressive and profound loss of neurons in the central nervous system that generally is associated with increasingly severe epileptic seizures, visual failure, ataxia, mental deterioration, and early death. At the cellular level, the NCLs are characterized by accumulation of autofluorescent storage material in lysosome-like organelles in neurons and other cell types. Different forms of NCLs have traditionally been classified on the basis of age of onset of symptoms and cellular morphology and, more recently, by molecular criteria. Molecular analysis has revealed that different mutations in a given NCL gene can produce distinct clinical presentations [e.g., CLN2 deficiencies can lead to late infantile as well as juvenile onset disease (2), CLN1 deficiencies to infantile as well as late infantile and juvenile onset disease (3), and CLN3 deficiencies to juvenile as well as delayed onset disease (4)(5)]. Because of the existence of multiple NCL disease genes that can have overlapping clinical manifestations, simple clinical assays for NCL classification are useful before proceeding to DNA-based analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".