CD4+ T-cell transcription factors predict phenoconversion in idiopathic rapid eye movement sleep behavior disorder
Bibliographic record
Abstract
Aim: Early biomarkers of phenoconversion to neurodegeneration are crucial to identify individuals at high risk. In patients with idiopathic REM sleep behavior disorder (iRBD), the strongest risk factor for neurodegeneration, CD4+ T cells exhibit a peculiar transcription factor pattern.Objective: To assess transcription factor mRNA levels in CD4+ T cells as predictive biomarkers of phenoconversion in iRBD patients.Methods: iRBD patients were followed prospectively. ROC curve analysis and Kaplan-Meier curves were used to assess the discrimination between converters and non-converters.Results: CD4+ T cells from converters had higher STAT1, and lower GATA3 and FOXP3 mRNA levels. Hazard ratio was 58.3 (95% CI: 6.2–547.1) for higher STAT1, 101.2 (95% CI: 16.8–609.4) for lower GATA3 and 15.7 (2.7–91.4) for lower FOXP3.Conclusion: STAT1, GATA3 and FOXP3 mRNA levels in CD4+ T cells are promising predictive biomarkers of phenoconversion in iRBD patients.
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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 | 0.000 | 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".