Genes Determining the Course of Virus Persistence in the Liver: Lessons from Murine Infection with Lymphocytic Choriomeningitis Virus
Bibliographic record
Abstract
More than 500 million people worldwide are persistently infected with either hepatitis B virus (HBV) or hepatitis C virus (HCV). Although both viruses are poorly cytopathic, persistent infection causes severe immunopathologic damage to liver tissue; histologically, such damage is characterized by fatty liver disease, liver fibrosis, and a higher likelihood of hepatocellular carcinoma. Virus-specific CD8+ T cells play a crucial role during infection with hepatitis viruses. On the one hand, rapid activation of CD8+ T cells can control the virus and therefore inhibit its persistence. On the other hand, once the virus persists in the liver, the chronic activation of virus-specific T cells leads to continued liver cell damage. This double-edged role of CD8+ T cells determines the final outcome of infection. In half of cases of human HCV infection, the virus persists; in the other half, the virus is controlled. Additional insights into the molecular mechanisms that determine the course of the disease may be gained from the study of appropriate murine models. This review discusses the similarities and differences between infection with lymphocytic choriomeningitis virus (LCMV) in mice and chronic infection with hepatitis virus in humans.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".