Enhanced antigen‐specific primary CD4<sup>+</sup> and CD8<sup>+</sup> responses by codelivery of ovalbumin and toll‐like receptor ligand monophosphoryl lipid A in poly(<scp>D,L</scp>‐lactic‐<i>co</i>‐glycolic acid) nanoparticles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this research was to investigate the use of biodegradable poly(D,L-lactic-co-glycolic acid) nanoparticles (PLGA-NP) as a vaccine delivery system to codeliver antigen, ovalbumin (OVA) along with monophosphoryl lipid A (MPLA) as adjuvant for induction of potent CD4(+) and CD8(+) T cell responses. The primary CD4(+) T responses to OVA/MPLA NP were investigated using OVA-specific T cells from DO11.10 transgenic mice. Following adoptive transfer of these cells, mice were immunized s.c. by NP formulations. For assessing the CD8(+) responses, bone marrow derived dendritic cells (DCs) were pulsed with different OVA formulations, then, cocultured with CD8(+) T cells from OT-1 mice. T cell proliferation/activation and IFN-gamma secretion profile have been examined. Particulate delivery of OVA and MPLA to the DCs lead to markedly increase in in vitro CD8(+) T cell T cell proliferative responses (stimulation index >3000) and >13-folds increase in in vivo clonal expanded CD4(+) T cells. The expanded T cells were capable of cytokine secretion and expressed an activation and memory surface phenotype (CD62L(lo), CD11a(hi), and CD44(hi)). Codelivery of antigen and MPLA in PLGA-NP offers an effective method for induction of potent antigen specific CD4(+) and CD8(+) T cell 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.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it