A.1 Plasma Chitinase 3-like 1 protein levels in people with Radiologically Isolated Syndrome correlate with choroid plexus volume and subcortical grey matter atrophy
Bibliographic record
Abstract
Background: Radiologically isolated syndrome (RIS) is characterized by incidental MRI findings suggestive of multiple sclerosis in asymptomatic individuals. Emerging blood biomarkers, including neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and chitinase 3-like 1 protein (CHI3L1) are promising tools for evaluating neuroinflammation and neurodegeneration. Methods: This cross-sectional analysis included 47 individuals with RIS who underwent MRI and plasma biomarker assessments. Plasma levels of CHI3L1, NfL, and GFAP were measured using highly sensitive assays. Correlations between biomarkers and MRI markers, including T1-black holes (BHs), central vein sign (CVS) positive lesions, paramagnetic rim lesions (PRLs), choroid plexus volume (CPV), and thalamic and hippocampal volumes, were analyzed using linear regression. Results: Plasma CHI3L1 levels correlated with increased CPV (β = 0.347, p = 0.017) and reduced thalamic (β = -0.309, p = 0.035) and hippocampal (β = -0.535, p < 0.001) volumes. Plasma GFAP levels were associated with BHs, CVS, and PRLs, whereas plasma NfL showed no correlations with MRI measures. Conclusions: Plasma CHI3L1 correlates with subcortical grey matter atrophy and CPV increase in RIS, distinct from correlations observed with GFAP or NfL. This suggests that plasma CHI3L1 may reflect neurodegeneration and inflammation in RIS and provide insights into disease activity not captured by other biomarkers.
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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 | 0.001 |
| 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) | 0.004 | 0.001 |
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".