The Potential of Polyphosphazenes for Delivery of Vaccine Antigens and Immunotherapeutic Agents
Bibliographic record
Abstract
Polyphosphazene polyelectrolytes are synthetic, biodegradable polymers that have shown great potential in vaccine and drug delivery applications. Numerous investigations in laboratory animals have revealed that polyphosphazenes are also potent immunological adjuvants that can dramatically enhance the magnitude, quality and duration of immune responses to a variety of bacterial and viral vaccine antigens. Evidence is accumulating that these polymers have potent adjuvant activity in large animals as well. Interestingly, polyphosphazenes can be combined with novel immune modulatory agents resulting in even more potent immune activity and protection against experimental infection. While most reports are on the activity of polyphosphazenes in aqueous formulations, these polymers can also be easily made into microparticles, making them especially attractive for mucosal delivery. The mechanisms which mediate the adjuvant activity of polyphosphazenes are not fully understood, but there is evidence to suggest that activation of innate immunity may be involved. Further research and development of polyphosphazene adjuvants is warranted to fully explore their potential in the delivery of vaccines and immunotherapeutic agents.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".