Hematopoietic cell–derived interferon controls viral replication and virus-induced disease
Bibliographic record
Abstract
Type I interferon (IFN-I) strongly inhibits viral replication and is a crucial factor in controlling virus infections and diseases. Cellular activation through pattern recognition receptors induces interferon production in a wide variety of hematopoietic and nonhematopoietic cell types, including dendritic cells, fibroblasts, hepatocytes, and cells of neuronal origin. The relative contribution of hematopoietic and nonhematopoietic cells to the overall interferon response is an important issue which has not been fully addressed. Using irf7(-/-) and wild-type bone marrow chimeras we analyzed the contribution of IFN-I from bone marrow-derived sources in the control of viral infections and immunopathology in mice. We found that during systemic cytopathic virus infection, hematopoietic cells were essential for production of IFN-I, inhibition of viral spread to peripheral organs, and limiting cell damage. In a model of autoimmune diabetes induced by noncytopathic virus infection, hematopoietic cell-derived IFN-I was essential for CD8(+) T cell-dependent cytotoxicity in pancreatic beta-islet cells and induction of diabetes. These data suggest that during systemic viral infection primarily hematopoietic cell-derived IFN-I controls viral replication and viral-induced disease.
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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) | 0.000 | 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) | 0.001 | 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 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".