Unraveling the Mysterious Interactions Between Hepatitis C Virus RNA and Liver-Specific MicroRNA-122
Bibliographic record
Abstract
Many viruses encode or subvert cellular microRNAs (miRNAs) to aid in their gene expression, amplification strategies, or pathogenic signatures. miRNAs typically downregulate gene expression by binding to the 3' untranslated region of their mRNA targets. As a result, target mRNAs are translationally repressed and subsequently deadenylated and degraded. Curiously, hepatitis C virus (HCV), a member of the Flaviviridae family, recruits two molecules of liver-specific microRNA-122 (miR-122) to the 5' end of its genome. In contrast to the canonical activity of miRNAs, the interactions of miR-122 with the viral genome promote viral RNA accumulation in cultured cells and in animal models of HCV infection. Sequestration of miR-122 results in loss of viral RNA both in cell culture and in the livers of chronic HCV-infected patients. This review discusses the mechanisms by which miR-122 is thought to enhance viral RNA abundance and the consequences of miR-122-HCV interactions. We also describe preliminary findings from phase II clinical trials in patients treated with miR-122 antisense oligonucleotides.
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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) | 0.001 | 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 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".