Development of Shelf Stable Formulation for Adenovirus Vectored Vaccines and Therapeutics
Bibliographic record
Abstract
Abstract A major limitation of therapeutic delivery is the cold chain storage requirement. Adenoviruses (AdV) have been demonstrated to be an effective delivery vector for several indications including COVID-19 vaccines but are limited by storage and transportation conditions. Previous work has demonstrated formulation and drying of vectored vaccines with pullulan and trehalose-based (PT) films significantly improves thermostabilization. To increase the accessibility of AdV based therapeutics, we developed a vacuum based drying methodology with optimized PT excipients resulting in a shelf stable product. We demonstrate the thermostability of formulated and dried AdV at 55°C for 7 weeks with less than 0.5 total log IU loss, and over 44 weeks at 37°C with less than 0.25 total log IU loss. Additionally, murine vaccination with the ChAd-TriCoV/Mac vaccine showed no difference in response between fresh and aged at 37°C for 44 weeks. These data demonstrate our formulation methodology’s performance, resulting in a shelf stable formulation for AdV based therapeutics.
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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) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".