Peramivir Susceptibilities of Recombinant Influenza A and B Variants Selected with Various Neuraminidase Inhibitors
Bibliographic record
Abstract
BACKGROUND: Peramivir is a parenteral neuraminidase inhibitor (NAI) approved for treating influenza infections in a few countries. We determined peramivir susceptibilities of several uncharacterized influenza A and B neuraminidase (NA) and haemagglutinin (HA) mutants selected with different NAIs. METHODS: Recombinant wild-type (WT) and mutant NA proteins were expressed in 293T cells and susceptibility to peramivir, oseltamivir and zanamivir was determined by NA inhibition assay using the MUNANA substrate. Recombinant/reassortant influenza A(H1N1), A(H3N2) and B HA mutants were rescued by reverse genetics and assessed by plaque size or viral yield assays for drug susceptibility. RESULTS: values against both influenza A and B WT NAs. Peramivir and oseltamivir generally shared similar phenotypes. Of note, peramivir retained activity against I222K/T (A[H1N1]pdm09), I222L/V (A[H3N2]) and A246T (B) mutants, which had reduced inhibition (RI) or highly RI (HRI) against oseltamivir. Cross-RI/HRI against the three NAIs was observed for R152K, R371K and Q312R+I427T (A[H1N1]pdm09); S247P (A[H3N2]) and D198Y (B) mutants. All tested recombinant/reassortant R208K (A/Puerto Rico/8/34 [H1N1]); A28T, R124M and K189E (A/Victoria/3/75 [H3N2]) and T139N (B/Phuket/3073/13) HA mutants were susceptible to peramivir in cell culture experiments. CONCLUSIONS: Peramivir is highly active against seasonal influenza subtypes. Although peramivir and oseltamivir generally share similar phenotypes, peramivir still possesses activity against some variants with RI/HRI against oseltamivir. Finally, NAI-induced HA substitutions alone did not significantly impact NAI susceptibility.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".