Inflammation in the Central Nervous System and Th17 Responses Are Inhibited by IFN-γ–Induced IL-18 Binding Protein
Bibliographic record
Abstract
Inflammatory responses are essential for immune protection but may also cause pathology and must be regulated. Both Th1 and Th17 cells are implicated in the pathogenesis of autoimmune inflammatory diseases, such as multiple sclerosis. We show in this study that IL-18-binding protein (IL-18bp), the endogenous inhibitor of the Th1-promoting cytokine IL-18, is upregulated by IFN-gamma in resident microglial cells in the CNS during multiple sclerosis-like disease in mice. Test of function by overexpression of IL-18bp in the CNS using a viral vector led to marked reduction in Th17 responses and robust inhibition of incidence, severity, and histopathology of disease, independently of IFN-gamma. The disease-limiting action of IL-18bp included suppression of APC-derived Th17-polarizing cytokines. IL-18bp thus acts as a sensor for IFN-gamma and can regulate both Th1 and Th17 responses in the CNS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".