Clinical Characterization of a Multicenter International Cohort of Patients With Aicardi-Goutières Syndrome Homozygous for the RNASEH2B:p.Ala177Thr Variant: Early Clinical Markers of Disease Severity
Bibliographic record
Abstract
BACKGROUND: Aicardi-Goutières syndrome (AGS) is a rare monogenic leukodystrophy belonging to type I interferonopathies caused by alterations in one of nine genes. Among them, homozygous RNASEH2B:c.529G>A(p.Ala177Thr) is the most common variant worldwide and associated to AGS2. This variant typically leads to severe phenotypes, but individuals with later onset or milder clinical manifestations have been described, with recent finding of asymptomatic homozygous individuals. However, the cause for this intragenotypic clinical variability is unclear, as well as developmental trajectories and early prognostic factors. Our study objective is the description of phenotypic variability in patients with AGS2 and the identification of early clinical markers of prognosis. METHODS: A multicenter international retrospective natural history study was carried out by recruiting patients with AGS homozygous for p.Ala177Thr variant. Patients were categorized into three groups based on the clinical severity through the composite functional severity score, although comparison was made with the more recently introduced AGS severity score. Disease onset was divided into neonatal, infantile, and later onset. Demographic, clinical, and laboratory data were collected and compared between these groups. RESULTS: Irritability at onset correlates significantly to the three functional categories. Early age at onset and presence of extrapyramidal signs correlate to functional outcomes when comparing mild with severe patients. Furthermore, retrospective application of AGS severity score correlated well with the commonly used composite functional severity score. CONCLUSION: The authors observed irritability, early onset, and extrapyramidal signs not to be exclusive to the severe group, hence the need for creation of a composite predictive biomarker for prognosis accuracy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".