Enhanced lung disease and Th2 response following human metapneumovirus infection in mice immunized with the inactivated virus
Bibliographic record
Abstract
Human metapneumovirus (hMPV) is a paramyxovirus that causes acute respiratory-tract infections in humans. The histopathological and immunological responses to hMPV infection in BALB/c mice immunized with inactivated hMPV were characterized. Animals were immunized intraperitoneally with PBS, supernatant from non-infected LLC-MK2 cells and from heat-inactivated influenza A- or hMPV-infected cells, all in incomplete Freund's adjuvant, or with heat-inactivated hMPV without adjuvant, and then infected intranasally with 10(8) TCID50 virus. Following infection, lung samples and bronchoalveolar lavages were collected for determination of viral titre and cytokine levels and for histopathological studies. On day 1, 26 % of mice immunized with inactivated hMPV and adjuvant died, compared with none in the other groups. There was more significant lung inflammation associated with eosinophilic infiltration, as well as increased levels of interleukin-4 (IL-4) and IL-5, in the bronchoalveolar lavages of mice immunized with hMPV alone or with the adjuvant. Mice from the last two groups had a 4-5 log10 decrease in their pulmonary viral titres compared with controls. Our data demonstrate the risks associated with immunization using inactivated hMPV in this animal model and that this aberrant response should be considered in the development of hMPV vaccines.
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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) | 0.000 | 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) | 0.001 | 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".