Skogholt’s disease—A tauopathy precipitated by iron and copper?
Bibliographic record
Abstract
BACKGROUND: It has been suggested that Skogholt's disease is a new neurological disease entity. The disease, confined to a family line in Hedmark county, Norway, usually affects both the brain and peripheral nerves. Typical findings are white matter lesions in the brain, myelin damage in peripheral nerves, and discolored cerebrospinal fluid with high concentrations of protein, copper, and iron. Little is known about the natural progression of the disease and its underlying cause, but the high level of copper and iron in the cerebrospinal fluid may cause or exacerbate inflammation in the central nervous system. METHODS: The present clinical study further explores the disease progression with clinical chemistry analyses and mass spectrometry of blood and cerebrospinal fluid (CSF) from patients and controls. Findings are corroborated with cognitive assessments. RESULTS: and high levels of tau proteins, total protein, copper, and iron, were discovered among Skogholt patients. The Montreal Cognitive Assessment identified 36 % of the patients as below normal range, while most patients performed slower than the norm mean time on the Trail Making Test. Mini-Mental Status Examination disclosed only minor deviations. CONCLUSION: The findings in the present study strengthen our initial suggestion that Skogholt's disease most likely is a new neurological disorder and provide new clues to its cause: The disease may belong to the family of neurodegenerative disorders termed tauopathies. The increased level of copper and iron may contribute to neuroinflammation as these metals also have been associated with other neurodegenerative disorders. Although the causes of neurodegenerative disorders are currently largely unknown, studies on rare disease entities, such as the present one, may increase the understanding of neurodegeneration in general.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".