Interferon‐<i>β</i> regulates dendritic cell activation and migration in experimental autoimmune encephalomyelitis
Bibliographic record
Abstract
Summary CD11c + dendritic cells ( DC s) exert a critical role as antigen‐presenting cells in regulating pathogenic T cells in multiple sclerosis ( MS ). To determine whether the therapeutic benefit of interferon‐ β ( IFN ‐ β ) treatment for MS is in part influenced by IFN regulation of DC function, we examined the immunophenotype of DC s derived from IFN ‐ β +/+ and IFN ‐ β −/− mice using a myelin oligodendrocyte glycoprotein ( MOG ) peptide‐induced mouse model of MS , experimental autoimmune encephalomyelitis ( EAE ). Our earlier work identified that IFN ‐ β −/− mice exhibit earlier onset and more rapid progression of neurological impairment compared with IFN ‐ β +/+ mice. In this study we show that lipopolysaccharide‐/ MOG peptide‐stimulated IFN ‐ β −/− DC s secrete cytokines associated with pathological T helper type 17 rather than regulatory T‐cell polarization and exhibit increased CD 80 and MHCII expression when compared with stimulated IFN ‐ β +/+ DC s. IFN ‐ β −/− DC s from mice immunized to develop EAE induce greater proliferation of MOG ‐transgenic CD 4 + T cells and promote interleukin‐17 production by these T cells. Adoptive transfer of MOG peptide‐primed IFN ‐ β −/− DC s into IFN ‐ β +/+ and IFN ‐ β −/− mice immunized to develop EAE resulted in their rapid migration into the central nervous system of recipient mice, before onset of disease, which we attribute to failed signal transducer and activator of transcription 1‐mediated inhibition of CCR 7. Taken together, our data support immunoregulatory roles for IFN ‐ β in the activation and migration of DC s during EAE .
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".