MEDNIK syndrome: a new entry in the spectrum of inborn errors of copper metabolism
Bibliographic record
Abstract
Copper homeostasis, including intestinal absorption, blood transport, uptake, trafficking and excretion, is regulated by multiple genes encoding for specific copper transporters, which coordinate copper bioavailability. Mutations in genes coding for copper pumps or copper chaperons are responsible for copper overload or deficiency, with relevant consequences on cell structure and human health. The spectrum of genetic disorders of copper metabolism includes multiple entities, characterized by different clinical presentation, with liver and brain as target organs. In recent years, a new autosomal recessive muco-cutaneous syndrome characterized by Mental retardation, Enteropathy, Deafness, peripheral Neuropathy, Icthiosis and Keratodermia (MEDNIK) has been described in several French-Canadian families. Regarding the molecular pathways involved in MEDNIK syndrome, AP1S1 has been identified as the pivotal gene involved in the correct functioning of AP-1 complex, which is responsible for the crosstalk between the trans-Golgi network and the other endosomes. MEDNIK syndrome opens a new field of human pathology, that has been called “adaptinopathies” including all congenital diseases associated with mutations in genes coding for adaptor complexes subunits. Moreover, the report of MEDNIK syndrome induces to focus on the developing spectrum of inborn errors of copper metabolism, where at least eight diseases may be included.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".