The Role of Enoxaparin in Influenza Virus Infections and its Therapeutic Implications
Bibliographic record
Abstract
Frequent emergence of respiratory viruses with pandemic potential, like severe acute respiratory syndrome coronavirus 2 or influenza, underscores the need for broad-spectrum prophylaxis. Existing vaccines show reduced efficacy against newly emerged variants, and the ongoing risk of new outbreaks highlights the importance of alternative strategies to prevent infection and viral transmission. As respiratory viruses primarily enter through the nose, formulations targeting the nasal epithelium are attractive candidates to neutralize pathogens and thus prevent or minimize infection. Enoxaparin, a low-molecular-weight heparin (LMWH) widely used as an anticoagulant, also exhibits antiviral and anti-inflammatory properties. We found that in highly differentiated human nasal and upper respiratory tract 3D models, enoxaparin inhibited influenza A/H3N2 and B/Victoria infection, reduced release of proinflammatory cytokines and chemokines, and mitigated epithelial damage caused by infection. Our study highlights the LMWH inhibitory effect on respiratory viruses. When applied to mucosal entry sites, LMWH shows promise as prophylactic and valuable alternative to traditional antiviral approaches.
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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 | 0.001 |
| 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 | 0.001 | 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".