Prophylactic, therapeutic and immune enhancement effect of liposome‐encapsulated PolyICLC on highly pathogenic H5N1 influenza infection
Bibliographic record
Abstract
BACKGROUND: In view of the magnitude and severity of outbreaks of the highly pathogenic H5N1 influenza virus (H5N1-HPIV) and the threat to public health, there is an urgent need to develop broad-spectrum prophylactic and therapeutic agents against infection by H5N1-HPIV and other subtypes. METHODS AND RESULTS: In the present study, we explored the use of LE-PolyICLC, a liposome encapsulated double-stranded RNA, as a possible prophylactic, therapeutic and immune enhancement agent. In a mouse infection model, we showed that the administration of LE-PolyICLC intranasally before or shortly after infection could inhibit virus replication, leading to a significant reduction in pulmonary viral titres and a higher survival rate of infected mice. When used as a molecular adjuvant, LE-PolyICLC significantly enhanced both the humoral and cellular responses elicited by inactivated H5N1 vaccine and augmented the protective efficacy provided by vaccination. Most importantly, the data also demonstrate that LE-PolyICLC could effectively attenuate the development of pulmonary fibrosis during the restoration period at day 14 after H5N1 infection. CONCLUSIONS: Taken together, the data obtained in the present study suggest that strong consideration should be given for the use of LE-PolyICLC as prophylactic and therapeutic agents and also as a vaccination adjuvant to combat highly pathogenic influenza infection and its associated complications such as pulmonary fibrosis.
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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 | 0.000 |
| 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 | 0.000 |
| 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".