Evaluation of combining the PDX analogue AN-137B with oseltamivir in a mouse model of severe influenza A (H1N1) infection
Bibliographic record
Abstract
Severe influenza infections involve an exacerbation of the pro-inflammatory response, which is influenced by both viral and host factors. Protectins PD1 and PDX previously demonstrated anti-influenza activity as well as anti-inflammatory properties. We recently reported that the combination of AN-137B, a molecular analogue of PDX, with oseltamivir or baloxavir provided synergism/additive effects against influenza, in vitro . Herein, we investigated potential benefits of the AN-137B-oseltamivir combination in mice infected with influenza A/Puerto Rico/8/1934 (H1N1) virus. Untreated animals and those that received single oseltamivir or AN-137B treatment showed mortality rates of 80%, 100% and 100%, respectively, whereas only 40% of mice that received the oseltamivir-AN-137B combination had to be euthanized. Body weight loss was also lower in the group of the combination. In the latter group, the mean lung viral titre (LVT), as determined by plaque assay (2.53 ± 0.63 × 10 5 PFU/mL) and by qRT-PCR (2.39 ± 1.3 × 10 8 copies/mL), was significantly lower than that of the untreated group (4.76 ± 0.9 × 10 5 PFU/mL and 3.75 ± 0.86 × 10 8 copies/mL ( p < .05), contrasting with LVTs of animals that received single therapies. These in vivo results reinforce the potential of AN-137B when combined to a potent anti-influenza agent against severe influenza.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".