Augmentation of anti-viral immune responses in flu infected mice by supplementation with a seaweed-derived sulfated polysaccharide, Fucoidan 3427
Bibliographic record
Abstract
Abstract Description Fucoidan is sulfated polysaccharides found in their viscous component covers surface of brown algae. We previously revealed that fucoidan could augment anti-tumor immune responses and prevent tumor growth and reported that fucoidan from Okinawamozuku (Cladosiphon okamuranus) cooperatively activated innate immune cells which were moderately stimulated with several PRR ligands. The results have been promoting usage of fucoidan as an ingredient for immune-enhancing dietary supplements. In this study, we evaluated the capacity of fucoidan to prevent viral infection. At first, Okinawamozuku-derived fucoidan was intragastrically administered to BALB/c mice by 30, 80, and 240 mg/kg for 14 consecutive days, then, these mice were infected with A/PR/8/34 influenza virus strain and monitored up to 10 days. Whereas the morbidity scores were rapidly increased in the control mice from the 5th day of infection and all the mice died until day 9, the treatment with over 80 mg/kg of fucoidan ameliorated the symptoms and protected from death with the flu infection. Next, we evaluated the anti-viral effect of 80 mg/kg fucoidan and revealed that fucoidan significantly inhibited viral propagation in the lungs during 3 days after infection. Furthermore, the oral administration of fucoidan induced effective anti-viral responses as represented by enhanced expression of type I and II interferon in the lung. These results clearly indicated usefulness of dietary fucoidan in prevention of flu infection. Topic Categories Vaccines and Immunotherapy (VAC)
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) | 0.000 | 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 | 0.001 |
| 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".