Biphasic Lipid Vesicles (Biphasix™) Enhance the Adjuvanticity of CpG Oligonucleotides Following Systemic and Mucosal Administration
Bibliographic record
Abstract
CpG oligonucleotides (ODNs) are potent mucosal and systemic adjuvants. For practical applications however, improvements in delivery need to be developed. A mouse model was used to determine if the biological activity of CpG ODNs could be enhanced using a novel delivery system of biphasic lipid vesicles (Biphasix Vaccine-Targeting Adjuvant; VTA). Immunization studies were performed to evaluate the potential of VTA formulations to enhance the immunoadjuvant activity of CpG ODNs following systemic or mucosal administration with gD. Immune responses following immunization were assessed by protection from HSV-1 viral challenge and characterization of serum gD-specific antibody responses using ELISA. VTA formulations in combination with CpG and glycoprotein D (gD) were able to increase gD-specific IgG in serum compared to gD alone, and protect from a lethal HSV-1 challenge following subcutaneous immunization. Following mucosal immunization, VTA formulations in combination with CpG and antigen enhanced mucosal IgA responses compared to CpG and antigen administered in PBS.
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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) | 0.001 | 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".