Filovirus‐Like Particles Produced in Insect Cells: Immunogenicity and Protection in Rodents
Bibliographic record
Abstract
BACKGROUND: Virus-like particles (VLPs) of Ebola virus (EBOV) and Marburg virus (MARV) produced in human 293T embryonic kidney cells have been shown to be effective vaccines against filoviral infection. In this study, we explored alternative strategies for production of filovirus-like particle-based vaccines, to accelerate the development process. The goal of this work was to increase the yield of VLPs, while retaining their immunogenic properties. METHODS: Ebola and Marburg VLPs (eVLPs and mVLPs, respectively) were generated by use of recombinant baculovirus constructs expressing glycoprotein, VP40 matrix protein, and nucleoprotein from coinfected insect cells. The baculovirus-derived eVLPs and mVLPs were characterized biochemically, and then the immune responses produced by the eVLPs in insect cells were studied further. RESULTS: The baculovirus-derived eVLPs elicited maturation of human myeloid dendritic cells (DCs), indicating their immunogenic properties. Mice vaccinated with insect cell-derived eVLPs generated antibody and cellular responses equivalent to those vaccinated with mammalian 293T cell-derived eVLPs and were protected from EBOV challenge in a dose-dependent manner. CONCLUSION: Together, these data suggest that filovirus-like particles produced by baculovirus expression systems, which are amenable to large-scale production, are highly immunogenic and are suitable as safe and effective vaccines for the prevention of filoviral infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".