Prophylactic Activity of Intramuscular Peramivir in Mice Infected with a Recombinant Influenza A/WSN/33 (H1N1) Virus Containing the H274Y Neuraminidase Mutation
Bibliographic record
Abstract
Peramivir is a neuraminidase (NA) inhibitor (NAI) under development that must be administered by the systemic route. The prophylactic activity of intramuscular (IM) peramivir was evaluated with mice infected with wild-type (WT) and oseltamivir-resistant (H274Y NA mutant) recombinant influenza A/WSN/33 (H1N1) viruses. Treatment regimens consisted of IM injections starting 1 h before viral challenge that were single (45 mg/kg or 90 mg/kg) or multiple (45 mg/kg daily for 5 days). All peramivir regimens prevented mortality and weight loss while significantly reducing lung viral titers (LVT) in mice infected with the WT virus. For animals infected with the H274Y mutant, the multiple-dose regimen completely prevented mortality and was associated with significant reduction in weight loss and LVT compared to untreated animals. In contrast, both single-treatment regimens reduced mortality and weight loss but did not significantly reduce LVT. Although further experiments using different influenza A/H1N1 virus strains and other animal models are needed, our results suggest that 5-day IM peramivir therapy may be considered a prophylactic alternative to control influenza infections caused by oseltamivir-resistant viruses with the H274Y mutation.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".