OVA-Texo/4-1BBL helped restore exhausted OVA-specific CD8+ T cell function during Adenovirus induced chronic infection. (VAC12P.1115)
Bibliographic record
Abstract
Abstract CD8+ T cell functional exhaustion has been adequately studied during established persistent viral infections such as LCMV in mice models as well as HIV and hepatitis C virus (HCV) in human chronic infections. Recombinant Adenovirus infection has also been reported to cause CD8+ T cell dysfunction and deletion. In this study, we established an Adenovirus induced chronic infection in C57BL/6 mice, characteristic by a long persistence of high percentage of antigen-specific CD8+ T cells, with increased inhibitory markers expression (PD-L1, PD-1, LAG-3, CD43) and compromised effector functions. Exosome-targeted CD8+T cell vaccine is constructed through ConA stimulated non-specific CD8+T cells uptaking OVA pulsed DC-derived exosome (EXO), acting as CD8+Tc antigen presenting cells (Th-APCs), and capable of stimulating DC- and CD4+T cell-independent OVA-specific CTL responses leading to long-term immunity. We demonstrated that OVA-Texo/4-1BBL vaccine is able to provoke a successful immune response in chronic infected mice, increasing OVA-specific CD8+cell level massively by approximately 3-fold, the primed CTLs could differentiate into functional CD8+memory T cells. OVA-Texo/4-1BBL also helped restore exhausted CD8+ T cell function in the absence of CD4+ T cells. A sufficient increase of IFN-r production CD8+T cell was measured after OVA-Texo/4-1BBL immunization compared with mice without treatment.
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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 | 0.001 |
| 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 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".