Neu4, a Novel Human Lysosomal Lumen Sialidase, Confers Normal Phenotype to Sialidosis and Galactosialidosis Cells
Bibliographic record
Abstract
Three different mammalian sialidases have been described as follows: lysosomal (Neu1, gene NEU1), cytoplasmic (Neu2, gene NEU2), and plasma membrane (Neu3, gene NEU3). Because of mutations in the NEU1 gene, the inherited deficiency of Neu1 in humans causes the severe multisystemic neurodegenerative disorder sialidosis. Galactosialidosis, a clinically similar disorder, is caused by the secondary Neu1 deficiency because of genetic defects in cathepsin A that form a complex with Neu1 and activate it. In this study we describe a novel lysosomal lumen sialidase encoded by the NEU4 gene on human chromosome 2. We demonstrate that Neu4 is ubiquitously expressed in human tissues and has broad substrate specificity by being active against sialylated oligosaccharides, glycoproteins, and gangliosides. In contrast to Neu1, Neu4 is targeted to lysosomes by the mannose 6-phosphate receptor and does not require association with other proteins for enzymatic activity. Expression of Neu4 in the cells of sialidosis and galactosialidosis patients results in clearance of storage materials from lysosomes suggesting that Neu4 may be useful for developing new therapies for these conditions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".