Function of the Niemann–Pick type C proteins and their bypass by cyclodextrin
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review summarizes the recent findings on the mechanism of action of the Niemann-Pick type C (NPC) proteins and their bypass by cyclodextrin. RECENT FINDINGS: NPC disease is caused by dysfunction in either the NPC1 or NPC2 protein. These proteins function in the same pathway for the removal of unesterified cholesterol from late endosomes/lysosomes. In NPC-deficient cells, cholesterol derived from the endocytosis of LDLs becomes sequestered in the late endosomes/lysosomes. Recent studies have indicated that these two cholesterol-binding proteins act in tandem in mediating the egress of cholesterol from the late endosomes/lysosomes. Patches of amino acids on NPC1 and NPC2 appear to interact so that the hydrophobic transfer of cholesterol from NPC2 to NPC1 is achieved. Although no effective treatment for NPC disease is currently available, exciting new studies have shown that treatment of NPC-deficient mice with the cholesterol-binding compound, cyclodextrin, reduces the neurodegeneration and markedly extends the life span of Npc1-/- mice, suggesting a potential therapeutic approach for the treatment of individuals with NPC disease. SUMMARY: Experimental data are consistent with a model for the sequential action of the NPC1 and NPC2 proteins in moving cholesterol out of the late endosomes/lysosomes. Recent data demonstrate that treatment of NPC-deficient mice with cyclodextrin extends their life span, thereby suggesting a potential therapy for NPC patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".