Construction and immunogenicity of SARS-CoV-2 virus-like particle expressed by recombinant baculovirus BacMam
Bibliographic record
Abstract
The pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve to give rise to variants of concern that can escape vaccine-induced immunity. As such, more effective vaccines are urgently needed. In this study, we evaluated virus-like particle (VLP) as a vaccine platform for SARS-CoV-2. The spike, envelope, and membrane proteins of the SARS-CoV-2 Wuhan strain were expressed by a single recombinant baculovirus BacMam and assembled into VLPs in cell culture. The morphology and size of the SARS-CoV-2 VLP as shown by transmission electron microscopy were similar to the authentic SARS-CoV-2 virus particle. In a mouse trial, two intramuscular immunizations of the VLP BacMam with no adjuvant elicited spike-specific binding antibodies in both sera and bronchoalveolar lavage fluids. Importantly, BacMam VLP-vaccinated mouse sera showed neutralization activity against SARS-CoV-2 spike pseudotyped lentivirus. Our results indicated that the SARS-CoV-2 VLP BacMam stimulated spike-specific immune responses with neutralization activity. IMPORTANCE: Although existing vaccines have significantly mitigated the impact of the COVID-19 pandemic, none of the vaccines can induce sterilizing immunity. The spike protein is the main component of all approved vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due primarily to its ability to induce neutralizing antibodies. The conformation of the spike protein in the vaccine formulation should be critical for the efficacy of a vaccine. By way of closely resembling the authentic virions, virus-like particles (VLPs) should render the spike protein in its natural conformation. To this end, we utilized the baculovirus vector, BacMam, to express virus-like particles consisting of the spike, membrane, and envelope proteins of SARS-CoV-2. We demonstrated the immunogenicity of our VLP vaccine with neutralizing activity. Our data warrant further evaluation of the virus-like particles as a vaccine candidate in protecting against virus challenges.
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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 | 0.000 | 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 | 0.001 |
| 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".