Low Citrulline in Leigh Disease: Still a Biomarker of Maternally Inherited Leigh Syndrome
Bibliographic record
Abstract
Two siblings presented with encephalopathy, lactic acidosis, and hypocitrullinemia. Muscle and liver biopsies were considered for respiratory chain studies, but because of hypocitrullinemia, molecular analysis for maternally inherited Leigh syndrome was first performed, revealing in both siblings the mitochondrial DNA T8993G mutation (95% heteroplasmy), allowing to avoid tissue biopsies. Hypocitrullinemia, an occasional finding in mitochondrial diseases, has been specifically associated with T8993G mutation. However, only few patients have been reported, and the prevalence of hypocitrullinemia in 8993 mitochondrial DNA mutations is unknown. In a small series of 16 Leigh syndrome patients, sensitivity and specificity of hypocitrullinemia (< or = 12 micromol/L) for 8993 mitochondrial DNA mutations were 66% and 85%, respectively. Although studies in larger cohorts are necessary, we suggest considering T8993G mutation early in the diagnostic evaluation of infantile mitochondrial diseases with hypocitrullinemia, which minimizes the need for invasive procedures associated with a small but nonnegligible risk of complications and incorrect diagnosis.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".