Interferon-Stimulated Gene Expression as a Preferred Biomarker for Disease Activity in Aicardi–Goutières Syndrome
Bibliographic record
Abstract
Aicardi-Goutières syndrome (AGS) is an early-onset, genetic disease characterized by recurrent fever, multifocal lesions of the brain, and systemic autoimmunity. We report on 3 AGS patients, 2 siblings with an RNASEH2A gene mutation and 1 patient with a SAMHD1 gene mutation. Serial analysis of peripheral blood from all 3 AGS patients showed consistently elevated expression of the interferon-stimulated genes (ISGs): ISG15, RSAD2, and IFI27, not observed in unaffected family members. Enumeration of circulating white blood cells and platelets and examination of C-reactive protein showed no significant deviation from the normal range for Patient 2 with the RNASEH2A mutation and Patient 3 with the SAMHD1 mutation, even when Patient 2 had magnetic resonance imaging abnormalities and ongoing febrile episodes. Erythrocyte sedimentation rates fluctuated within the normal range for Patient 2, with some elevation, yet, were in the normal range during the second febrile episode when there were accompanying neurological abnormalities. These preliminary data suggest that ISG expression may be a more specific indicator of disease activity in comparison to standard inflammatory markers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".