Characterization of the innate stimulatory capacity of plant-derived virus-like particles bearing influenza hemagglutinin
Bibliographic record
Abstract
Cell-mediated immunity is an important component of immediate and long-term anti-viral protection. Dendritic cells (DCs) are essential for the induction of cell-mediated immunity by instructing the activation and differentiation of antigen-specific T cell responses. Activated DCs that express co-stimulatory molecules and pro-inflammatory cytokines are necessary to promote the development of type 1 immune responses required for viral control. Here we report that plant-derived virus-like particles (VLPs) bearing influenza hemagglutinins (HA) directly stimulate mouse and human DCs. DCs exposed to H1- and, to a lesser extent, H5-VLPs in vitro rapidly express co-stimulatory molecules and produce pro-inflammatory cytokines including IL-12, IL-6 and TNFα. Furthermore, these VLPs support the activation and differentiation of antigen-specific T cell responses. Mechanistically, H1-VLPs stimulate the activation of kinases typically activated downstream of pattern recognition receptors including AKT, p38, and p42/44 ERK. In vivo, immunization with plant-derived VLPs induce the accumulation of both cDC1s and cDC2 in the draining lymph node and a corresponding increase in T and B cells. VLPs devoid of HA protein activate DCs, suggesting they are intrinsically immunostimulatory. Together, the results demonstrate that these candidate plant-derived VLP vaccines have an inherent and direct stimulatory effect on DCs and can enhance the ability of DCs to promote Type 1 immune responses.
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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) | 0.000 | 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 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".