Induction of interferon‐λ contributes to toll‐like receptor 3‐mediated herpes simplex virus type 1 inhibition in astrocytes
Bibliographic record
Abstract
Toll-like receptor 3 (TLR3) recognizes double-stranded RNA and induces type I interferon (IFN)-mediated antiviral immunity against a number of viral infections. Type III IFN (IFN-λ) is a newly identified antiviral cytokine that has biological functions similar to those of type I IFNs. We thus investigated the role of IFN-λ in TLR3 activation-mediated inhibition of herpes simplex virus type 1 (HSV-1) in human primary astrocytes. Human astrocytes express endogenous IFN-λ1 and IFN-λ receptor complex, interleukin-28 receptor α subunit (IL-28Rα), and IL-10Rβ. The activation of TLR3 by poly-I:C treatment significantly induced the expression of IFN-λ1 and IFN-λ2/3 in astrocytes. The induction of IFN-λ contributed to TLR3 activation-mediated HSV-1 inhibition in astrocytes. Investigation of the mechanisms showed that treatment of astrocytes with specific antibody against IFN-λ receptor attenuated the anti-HSV-1 activity of poly-I:C, indicating that endogenous IFN-λ contributes to the anti-HSV-1 effect of TLR3 activation. The anti-HSV-1 effect of endogenous IFN-λ was also confirmed by the finding that recombinant IFN-λ treatment inhibited HSV-1 infection of astrocytes. These results provide direct and compelling evidence that endogenous IFN-λ participates in TLR3-mediated antiviral activity, which may have important implications in host cell innate immunity against HSV-1 infection in the CNS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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".