Intrathecal interleukin-6 levels are associated with progressive disease and clinical severity in multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: MS is characterized by persistent central nervous system (CNS) inflammation. Investigating the CNS-compartmentalized inflammation associated with progressive MS could uncover new biomarkers and therapeutic targets. Cerebrospinal fluid (CSF) interleukin-6 (IL-6) can be markedly elevated in neuroinflammatory conditions, such as neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein antibody-associated disease. This study investigated the association between CSF IL-6 levels, progressive disease, and disease severity in MS. METHODS: Advanced technologies, including single-molecule arrays and microfluidics, were used to analyse CSF samples from individuals with MS at the time of diagnosis for IL-6. IL-6 levels were then correlated with clinical course, disease severity, and other known biomarkers associated with inflammation and disease severity. RESULTS: Elevated IL-6 levels in the CSF were found in individuals with progressive MS, and CSF IL-6 showed positive correlations with the Expanded Disability Status Scale, the Multiple Sclerosis Severity Score, and CSF glial fibrillary acidic protein levels. CONCLUSIONS: IL-6 in CSF indicates ongoing CNS inflammation and may contribute to the compartmentalized inflammation associated with disease progression and overall disease severity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".