Mutations in CLN7/MFSD8 are a common cause of variant late-infantile neuronal ceroid lipofuscinosis
Bibliographic record
Abstract
The neuronal ceroid lipofuscinoses (NCLs), the most common neurodegenerative disorders of childhood, are characterized by the accumulation of autofluorescent storage material mainly in neurons. Although clinically rather uniform, variant late-infantile onset NCL (vLINCL) is genetically heterogeneous with four major underlying genes identified so far. We evaluated the genetic background underlying vLINCL in 119 patients, and specifically analysed the recently reported CLN7/MFSD8 gene for mutations in 80 patients. Clinical data were collected from the CLN7/MFSD8 mutation positive patients. Eight novel CLN7/MFSD8 mutations and seven novel mutations in the CLN1/PPT1, CLN2/TPP1, CLN5, CLN6 and CLN8 genes were identified in patients of various ethnic origins. A significant group of Roma patients originating from the former Czechoslovakia was shown to bear the c.881C>A (p.Thr294Lys) mutation in CLN7/MFSD8, possibly due to a founder effect. With one exception, the CLN7/MFSD8 mutation positive patients present a phenotype indistinguishable from the other vLINCL forms. In one patient with an in-frame amino acid substitution mutation in CLN7/MFSD8, the disease onset was later and the disease course less aggressive than in variant late-infantile NCL. Our findings raise the total number of CLN7/MFSD8 mutations to 14 with the majority of families having private mutations. Our study confirms that CLN7/MFSD8 defects are not restricted to the Turkish population, as initially anticipated, but are a relatively common cause of NCL in different populations. CLN7/MFSD8 should be considered a diagnostic alternative not only in variant late-infantile but also later onset NCL forms with a more protracted disease course. A significant number of NCL patients in Turkey exist, in which the underlying genetic defect remains to be determined.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".