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Record W7023986291

Plant-made influenza virus-like particles (VLPs) activate dendritic cells and promote type 1 immune responses

2016· dissertation· en· W7023986291 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchGénome Québec
KeywordsDownregulation and upregulationCD86Immune systemAntigen presentationCD80Dendritic cellHemagglutinin (influenza)Antigen
DOInot available

Abstract

fetched live from OpenAlex

Cell-mediated immunity has shown to play a critical role in long-term anti-viral protection. Age-associated T-cell dysfunction in the elderly leaves this group especially vulnerable to viruses such as influenza. Specifically designing or optimizing vaccines for aged individuals would help to prevent diseases and decrease complications in this growing population. Central to the induction of long-term memory responses are dendritic cells (DCs). DCs have the ability to generate antigen-specific T-cell responses through antigen presentation on Major Histocompatibility Complex (MHC), upregulation of costimulatory molecules (CD86 and CD40) and cytokine secretion. In this study, bone-marrow-derived DC responses from young mice were first evaluated when stimulated with influenza hemagglutinin (from H1 and H5 strains) elicited by a novel plant-made Virus-Like-Particle (VLP) produced by Medicago Inc. We have found that H1-VLPs activate DCs from young mice by upregulating MHCII, CD86 and CD40. These VLPs also promote the production of pro-inflammatory cytokines such as IL-12p40, IL-12p70, IL-6, IL-1β and TNFα. H5-VLPs were found to have similar effects on DCs from young mice but are much less immunostimulatory than H1-VLPs. DC responses were significantly increased when VLPs were combined with the commonly used adjuvant, aluminum hydroxide (alum). H1- and H5-VLPs were also found to activate human monocyte-derived DCs by stimulating the upregulation of CD83 and CD86 and secreting inflammatory cytokines, similar to the observations in mice. DC:T-cell co-culture assays have shown that non-adjuvanted H1- and H5-VLPs improve the ability of DCs from young mice to stimulate CD4+ and CD8+ T-cell activation, differentiation and effector function. These findings further suggest that VLPs are able to stimulate the cross-presentation of antigens. H1-VLPs were also found to promote the activation of kinases typically activated downstream of innate immunity receptors (pattern recognition receptors) in DCs. H1-VLPs, but not H5-VLPs, were able to stimulate the transcription of IL-12p40 and pro-IL-1β. Only the combination of H1-VLP with alum allowed for the secretion of active IL-1β, suggesting that even though particulate, H1-VLPs cannot trigger the activation of the inflammasome. DCs from aged mice and humans were also activated by H1- and H5-VLPs but to a much lesser extent compared to DCs from young mice and humans. Further, DCs from aged mice produced more anti-inflammatory cytokines, such as IL-10, in response to H1-VLP combined with alum. Considering the suboptimal responses observed in DCs from aged mice and humans, it may be necessary to find targetable mechanisms or more appropriate adjuvants to improve the stimulatory effect of novel vaccine candidates in the aged immune system. Together, these results demonstrate that HA-VLPs have a direct stimulatory capacity on DCs and enhance their ability to promote subsequent Type 1 immune responses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.255
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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