P19-10. Induction of dendritic cell maturation by a liposomally-delivered multivalent HIV vaccine
Bibliographic record
Abstract
We have previously developed an innovative vaccine based on the genetic mutability and diversity of variable HIV-1 epitopes. This polyvalent peptide vaccine has been shown to induce a broadly reactive peripheral immune response in mice and macaques (Azizi A, J. Immunol, 2008). Our group recently developed a lipid-based vesicle as an oral vaccine delivery system for the induction of mucosal immunity within mucosal tissues. In this study, we take advantage of this technology to entrap our HIV-1 vaccine into this lipid-based vesicle. We then evaluated the ability of our vaccine formulations to induce maturation of mouse dendritic cells.In vitro experiments have shown our liposomally-delivered candidate vaccine to be effective in inducing the maturation of mouse dendritic cells, as demonstrated by increased cell surface MHCII and CD86 expression. Mice were sacrificed and bone marrow from femur, tibia and humerus was collected. Marrow cells were then cultured in the presence of IL-4 and GM-CSF for 5 days before being loaded with antigen to induce maturation. The presence of cell surface markers related to dendritic cell maturation was then evaluated by flow cytometry. Stimulation of immature bone marrow-derived murine dendritic cells with liposomally-delivered HIV peptides induces maturation of these cells, as determined by increased expression of cell-surface markers MHCII and CD86. Our data indicate that the incorporation of multiple HIV-1 epitopes into a lipid-based delivery system is effective in inducing the maturation of murine dendritic cells. Our findings suggest that a liposomal-based delivery system may act as an effective delivery vehicle.
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 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 | 0.000 |
| 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 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".