Biogenic Amine Metabolites and Thiamine in Cerebrospinal Fluid in Heredo-Degenerative Ataxias
Bibliographic record
Abstract
BACKGROUND: The aims of the present study were: i) to measure levels of the dopamine metabolite homovanillic acid (HVA), the serotonin metabolite 5-hydroxindoleacetic acid (5HIAA) and precursor tryptophan, as well as the noradrenaline metabolite 3-methoxy-4-hydroxyphenylethylene glycol (MHPG) and thiamine in the cerebrospinal fluid (CSF) of patients with Friedreich's ataxia (FA), olivopontocerebellar atrophy (OPCA), and the autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSAC), as compared with sex- and age-matched control subjects. PATIENTS AND METHODS: CSF amine related compound levels and thiamine results were compared in 40 FA, 44 OPCA and nine ARSAC patients with those of 94 sex- and age-matched subjects. Neuroimaging (CT scans and single photon emission computed tomographies i.e. SPECT) were carried out in all patients and controls. Genetic studies were conducted on OPCA patients. CSF amine related compounds were measured by high performance liquid chromatography, whereas CSF thiamine levels were measured by a microbiological method. RESULTS: FA patients had significantly lower CSF HVA, 5HIAA and thiamine values than control patients and a trend for lower MHPG levels. In OPCA patients, CSF HVA, MHPG and thiamine values were markedly lower whereas CSF 5HIAA values showed only a trend towards lower levels; in ARSAC patients only thiamine and HVA CSF values were lower than those in control subjects. CONCLUSION: After presenting the relationships between neurochemical findings on one side, the degree of ataxia, the degree of cerebellar atrophy and the SPECT findings on the other, the authors concluded that replacement and neuroprotective clinical trials in these patients would have to include two or three drugs because the neurotransmitter deficiencies are multiple.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".