Interferon Response Factors 3 and 7 Protect against Chikungunya Virus Hemorrhagic Fever and Shock
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chikungunya virus (CHIKV) infections can produce severe disease and mortality. Here we show that CHIKV infection of adult mice deficient in interferon response factors 3 and 7 (IRF3/7(-/-)) is lethal. Mortality was associated with undetectable levels of alpha/beta interferon (IFN-α/β) in serum, ∼50- and ∼10-fold increases in levels of IFN-γ and tumor necrosis factor (TNF), respectively, increased virus replication, edema, vasculitis, hemorrhage, fever followed by hypothermia, oliguria, thrombocytopenia, and raised hematocrits. These features are consistent with hemorrhagic shock and were also evident in infected IFN-α/β receptor-deficient mice. In situ hybridization suggested CHIKV infection of endothelium, fibroblasts, skeletal muscle, mononuclear cells, chondrocytes, and keratinocytes in IRF3/7(-/-) mice; all but the latter two stained positive in wild-type mice. Vaccination protected IRF3/7(-/-) mice, suggesting that defective antibody responses were not responsible for mortality. IPS-1- and TRIF-dependent pathways were primarily responsible for IFN-α/β induction, with IRF7 being upregulated >100-fold in infected wild-type mice. These studies suggest that inadequate IFN-α/β responses following virus infection can be sufficient to induce hemorrhagic fever and shock, a finding with implications for understanding severe CHIKV disease and dengue hemorrhagic fever/dengue shock syndrome.
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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 | 0.000 | 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 it