A Multivalent Pan-Ebolavirus Nanoparticle Vaccine Provides Protection in Rodents from Lethal Infection by Adapted Zaire and Sudan Viruses
Bibliographic record
Abstract
Abstract Both Zaire ebolavirus (EBOV) and Sudan ebolavirus (SUDV) are members of the family Filoviridae , first discovered in 1976 during outbreaks of hemorrhagic fever in northern Zaire and southern Sudan. Ebola virus disease outbreaks are major public health events because of their potential for human-to-human transmission with high case fatality rates. Filoviral surface glycoproteins (GPs) are known to be the primary targets of neutralizing antibodies for protection from disease, and are the relevant immunogens in the two approved EBOV vaccines. Here we describe the design, electron microscopy-based structural characterization, and efficacy testing of a series of icosahedral I53-50 nanoparticles displaying prefusion trimeric EBOV and SUDV GP antigens. Mice and guinea pigs vaccinated with either a cocktail of EBOV-GP-I53-50 plus SUDV-GP-I53-50 or mosaic EBOV / SUDV-GP-I53-50 nanoparticles were protected from death or severe clinical signs of disease and weight loss, respectively, when challenged with either mouse-adapted EBOV or guinea pig-adapted SUDV.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".