Cross-Reactive Neutralizing Antibodies Directed against Pandemic H1N1 2009 Virus Are Protective in a Highly Sensitive DBA/2 Mouse Influenza Model
Bibliographic record
Abstract
Our ability to rapidly respond to an emerging influenza pandemic is hampered somewhat by the lack of a susceptible small-animal model. To develop a more sensitive model, we pathotyped 18 low-pathogenic non-mouse-adapted influenza A viruses of human and avian origin in DBA/2 and C57BL/6 mice. The majority of the isolates (13/18) induced severe morbidity and mortality in DBA/2 mice upon intranasal challenge with 1 million infectious doses. Also, at a 100-fold-lower dose, more than 50% of the viruses induced severe weight loss, and mice succumbed to the infection. In contrast, only two virus strains were pathogenic for C57BL/6 mice upon high-dose inoculation. Therefore, DBA/2 mice are a suitable model to validate influenza A virus vaccines and antiviral therapies without the need for extensive viral adaptation. Correspondingly, we used the DBA/2 model to assess the level of protection afforded by preexisting pandemic H1N1 2009 virus (H1N1pdm) cross-reactive human antibodies detected by a hemagglutination inhibition assay. Passive transfer of these antibodies prior to infection protected mice from H1N1pdm-induced pathogenicity, demonstrating the effectiveness of these cross-reactive neutralizing antibodies in vivo.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.003 |
| 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".