Evaluation of Recombinant 2009 Pandemic Influenza A (H1N1) Viruses Harboring Zanamivir Resistance Mutations in Mice and Ferrets
Bibliographic record
Abstract
Recombinant influenza A(H1N1)pdm09 wild-type (WT) and zanamivir-resistant E119G and Q136K neuraminidase mutants were generated to determine their enzymatic and replicative properties in vitro, as well as their infectivity and transmissibility in mice and ferrets. Viral titers of recombinant E119G and Q136K mutants were significantly lower than those of the WT in the first 36 h postinoculation (p.i.) in vitro. The E119G and Q136K mutations were both associated with a significant reduction of total neuraminidase (NA) activity at the cell surface of 293T cells, with relative total NA activities of 14% (P < 0.01) and 20% (P < 0.01), respectively, compared to the WT. The E119G mutation significantly reduced the affinity (8-fold increase in Km) but not the Vmax. The Q136K mutation increased the affinity (5-fold decrease in Km) with a reduction in Vmax (8% Vmax ratio versus the WT). In mice, infection with the E119G and Q136K mutants resulted in lung viral titers that were significantly lower than those of the WT on days 3 p.i. (3.4 × 10(6) ± 0.8 × 10(6) and 2.1 × 10(7) ± 0.4 × 10(7) PFU/ml, respectively, versus 8.8 × 10(7) ± 1.1 × 10(7); P < 0.05) and 6 p.i. (3.0 × 10(5) ± 0.5 × 10(5) and 8.6 × 10(5) ± 1.4 × 10(5) PFU/ml, respectively, versus 5.8 × 10(7) ± 0.3 × 10(7); P < 0.01). In experimentally infected ferrets, the E119G mutation rapidly reverted to the WT in donor and contact animals. The Q136K mutation was maintained in ferrets, although nasal wash viral titers from the Q136K contact group were significantly lower than those of the WT on days 3 to 5 p.i. Our results demonstrate that zanamivir-resistant E119G and Q136K mutations compromise viral fitness and transmissibility in A(H1N1)pdm09 viruses.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".